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Consciousness | Wikipedia

The "Mindful Universe" converges frontiers of physics, biology, and philosophy. While traditional science has long viewed the cosmos as a machine—indifferent, mechanical, and randomly assembled—emerging theories suggest a more integrated reality. Consciousness is the most familiar yet most mysterious phenomenon in the universe: the fact that there is "something it is like" to be you. By examining the potential connections between quantum processes, biological form, and the nature of subjective experience, science is now investigating the possibility that mind and matter are not separate, but deeply entangled aspects of a single, evolving whole.

How to read this page...

At the heart of every discussion about the mind —whether we are debating animal ethics, artificial intelligence, or human nature—lies a crucial distinction that is often overlooked. Understanding the difference between these three terms is the first step in mapping the landscape of awareness. To navigate this landscape, we must distinguish Sapience from Sentience from Self-Awareness:

Sapience is the ability to think, characterized by wisdom and reason; it encompasses abstract reasoning, logic, self-reflection, and morality—traits primarily observed in humans and potentially some great apes and cetaceans.
Sentience is the capacity to feel, perceive, or experience sensations subjectively. Distinct from the ability to know or reason, sentience implies a subjective "internal life" where a being can experience pain, pleasure, comfort, or distress, a capacity shared by humans, dogs, birds, and fish.
Self-Awareness is the capacity to perceive and recognize oneself as a distinct individual separate from the environment. Defined effectively as "extrospective" awareness, this trait involves looking outward to identify one's physical form or digital signature—exemplified by the mirror test or an algorithm recognizing its own pixels—distinct from the internal, subjective experience of Sentience.

The Architecture of Mind: Depth and Level

Map It → the layers inside and outside awareness (mind “depth”).
Before asking “how neurons do it,” we need a shared map of what the mind is doing—what sits in awareness, what sits just outside it, and what never becomes reportable at all.

The mind is organized into a vertical hierarchy of depth and levels, extending far beyond our immediate waking life. At the foundation lies the Unconscious, a vast, inaccessible reservoir of deep-seated instincts and automatic processes, while the Subconscious acts as a bridge, holding memories and habits just beneath the surface of awareness that can be recalled with effort. Underpinning this entire structure is the Protoconscious, a primordial, biological baseline of sensory organization that frames our experience before we even form a thought, establishing the crucial architecture upon which higher consciousness is built. These terms map the "depth" of the mind. In the context of theories like Orch-OR and GNWT, they describe where and how information exists before (or without) becoming aware of it.

Proto-conscious (The "Raw Material")

a foundational, rudimentary form of awareness or subjective-like processing that precedes or underlies full human-like consciousness. It is a conceptual bridge between inanimate matter and complex, reflective awareness, often used in neuroscience, philosophy of mind, and Artificial General Intelligence (AGI) studies to describe the building blocks of subjective experience. Proto-consciousness is generally characterized by:

Pre-reflective: Lacking self-awareness, memory, or agency.
Foundational: Acts as the base layer from which complex consciousness can emerge.
Goal-oriented: Exhibits behavior, adaptation, and internal monitoring.
Functional: It focuses on functional impairment or success rather than the presence of human-like feelings or qualia.

Subconscious (The "Waiting Room")

Scientific Name: Often called the Preconscious.
Definition: Information that is not currently in your focus but is accessible. You aren't thinking about your phone number right now, but if asked, you can "pull" it into consciousness immediately.
Role: It acts as a buffer. It handles automated tasks that you can interrupt (like driving on a familiar route—you are "on autopilot," but if a cat runs out, you snap back to full consciousness).
Function: It acts as a filter or buffer. It holds information "in escrow"—ready to be used but not currently cluttering your processing power.
The "Tip of the Tongue" Phenomenon: This is a glitch in the preconscious. You know the information is in the waiting room, but the door to the conscious stage is stuck.
Latency: Accessing the preconscious is fast (milliseconds), whereas accessing the deep subconscious (repressed memories, deep habits) is slow or impossible without specific triggers.
In AI: In cognitive science and AI research, this term is often used to describe the "hidden layers" of deep neural networks.
- The Parallel: Just as the human subconscious processes vast amounts of data (implicit memory, pattern recognition, autonomic function) without conscious awareness, an AI’s "hidden layers" process millions of parameters to generate an output.
- The "Black Box Problem: We see the input and the output (consciousness), but we often cannot explain exactly how the hidden layers (subconscious) arrived at that specific result.

Unconscious (The "Locked Basement")

Definition: Mental processes that are inaccessible to awareness, but which affects behavior and emotions. no matter how hard you try to focus on them.
Two Types:
The Machinery (Neuroscience): Autonomic functions (heartbeat, enzyme release) and complex sensory math (depth perception). This is the "zombie" processing that keeps you alive.

The Repository (Freud/Jung): Deep-seated urges, repressed memories, or instincts. Modern science agrees that the majority of decision-making happens here seconds before we feel like we made a choice.
Unconscious AI refers to the idea that Artificial Intelligence, particularly large language models (LLMs), operates with processes akin to the human unconscious—vast, hidden layers of data and algorithms influencing outputs without direct human-like awareness, leading to emergent behaviors, biases, or even "digital dreams" (incoherent patterns) that shape responses, creating a parallel "algorithmic unconscious" or "digital unconscious" distinct from human subjective experience but profoundly impactful on behavior and understanding. It's less about AI lacking consciousness and more about exploring its non-conscious, complex, and sometimes unpredictable internal workings through a psychological lens

Summary Comparison of Levels

Level	Accessibility	Analogy	Primary Function
Proto-conscious	N/A (Fundamental)	The Electricity	The raw physics/biology that makes the system possible.
Conscious	Full	The CEO	Executive decision making & reporting.
Subconscious	High (on demand)	The Assistant	"Autopilot" skills & memory retrieval.
Unconscious	None	The IT Server	Autonomic regulation & background processing.

Inside Awareness vs. Outside Awareness (Unified Map)

Different traditions use different labels, but they largely point at the same split: a narrow reportable spotlight (conscious awareness) sitting on top of massive parallel background processing (outside awareness).

1. Freud’s “iceberg” model (classic psychoanalytic)

Conscious = what you’re aware of right now.
Preconscious = stuff you can pull up if you try (memories, knowledge).
Unconscious = motives/conflicts you can’t directly access, but that still shape behavior.
Relationship idea: a lot of behavior is driven by hidden forces; consciousness is the tip of the iceberg.

2. Dual-process theories (System 1 / System 2)

System 1 = fast, automatic, pattern-based, emotional, “gut.”
System 2 = slow, deliberate, logical, effortful.
Relationship idea: System 1 proposes impulses/interpretations; System 2 can endorse, override, or rationalize—but it’s limited and gets tired.

3. Modern cognitive psychology: “implicit vs explicit”

Implicit processes = habits, priming, procedural skills, automatic associations.
Explicit processes = conscious recall, deliberate reasoning, verbal report.
Relationship idea: your brain does tons of work implicitly; consciousness is often the “report” layer plus a limited control knob (attention + working memory).

Common thread across most modern views

The “subconscious” (better: unconscious/implicit processing) does most of the heavy lifting.
Consciousness is limited bandwidth, but great for:
- flexible planning
- holding goals in mind
- integrating information across systems
- learning from surprise
- choosing between competing urges

The Mechanisms

Explain It → candidate theories that could generate or shape conscious experience
The theory landscape keeps expanding instead of converging; the growing (and sometimes paradoxical) diversity of views doesn’t just signal confusion; it also highlights the unusual complexity of the problem and the sheer inventiveness humans bring to explaining it. This section introduces the proposed “engines” that each theory claims actually produces, structures, or selects conscious experience — whether that engine is computation, attention modeling, global broadcasting, embodiment and regulation, quantum collapse, fields, intrinsic properties of matter, or something even stranger.

In the 1990s, Ned Block made the split explicit by distinguishing phenomenal consciousness (P-consciousness) from access consciousness (A-consciousness) — the latter tied to information being available for reasoning, control of action, and report. Around the same time, David Chalmers popularized the parallel distinction between the “easy problems” and the “hard problem”. The core definition for the two types of awareness are:

Access Consciousness (The "Easy" Problems): The mechanical ability to access and report information. Example: A self-driving car "knows" a traffic light is red.
Phenomenal Consciousness (The "Hard" Problem): The feeling of what it is like to be a subject (Qualia). Science struggles to explain why biological data processing feels like anything at all.

As the count of theories of consciousness ballooned, Robert Lawrence Kuhn attempted to catalog the whole landscape. After years of interviewing researchers across neuroscience, philosophy, physics, and beyond, he published a formal taxonomy; organizing the landscape into major families (materialist, non-reductive, quantum, IIT, panpsychist, monist/dualist/idealist, anomalous/altered-states, and “challenge” views).

325+ Competing Consciousness Theories | Robert Lawrence Kuhn conversation with Hans

Categories of Consciousness Theories (Based on Kuhn, 2024)
Category	Description	Key Examples
1. Materialism (Physicalism)	Consciousness is a product of physical matter/functions.	Global Workspace, Attention Schema, Neurobiological theories.
2. Non-Reductive Physicalism	Physicalism is true, but consciousness has unique properties.	Emergentism, Functionalism.
3. Quantum Theories	Consciousness arises from quantum processes in the brain.	Orch-OR (Penrose/Hameroff), Quantum Field theories.
4. Integrated Information (IIT)	Consciousness is a fundamental property of "integrated" systems.	Tononi’s IIT.
5. Panpsychism	Consciousness (or its precursors) is a fundamental feature of all matter.	Russellian Monism, Constitutive Panpsychism.
6. Monism	There is only one substance (neither strictly mind nor matter).	Neutral Monism, Dual-Aspect Monism.
7. Dualism	Mind and matter are two fundamentally different substances.	Substance Dualism, Property Dualism.
8. Idealism	Consciousness is the primary reality; the physical world is derivative.	Analytic Idealism (Kastrup), Objective Idealism.
9. Anomalous States	Theories involving non-local consciousness or altered states.	Near-Death Experiences, Psi phenomena theories.
10. Challenge Theories	Theories that challenge the standard framing of the "Hard Problem."	Illusionism, Eliminative Materialism.

Materialism (Physicalism)

Materialism defines consciousness as a "controlled hallucination" or global broadcast — a purely physical event with no non-physical residue. Whether the substrate is neural wetware or silicon circuitry, mental states are fully reducible to the interaction of particles and fields. If the architecture — be it a Global Workspace or a Predictive Processing loop — is present, consciousness is the necessary result.

In the standard model, the central puzzle is not whether brain activity correlates with experience (it does), but which patterns of activity are sufficient for experience, and why those patterns produce a unified scene instead of fragmented processing.

Mainstream Neuroscience

The dominant view in modern science is Materialism (or Physicalism): the view that "the mind is what the brain does." --- How the Brain Creates Mind. Standard neuroscience treats it as a biological output — a complex property generated by the networking of neurons, much like digestion is a property generated by the stomach. We start with mainstream neuroscience — the current mainstream standard model ... neuroscience → then introduce the quantum challenger.

Theory Name	Key Theorist (Year)	Core Idea	Key Mechanism	AI Implications	Analogy	Primary Field	View of Matter	Role of Physics
Biological Naturalism	John Searle (1980)	Mind is a biological process like digestion or photosynthesis.	Specific biological causal powers inherent in the wetware of the brain.	Low: Computers can simulate but never actually duplicate the "wet" cause.	Digestion or Bile production.	Philosophy	Primary & Sufficient	Standard
Eliminativism	Paul Churchland (1981)	"Consciousness" is a flawed folk-psychology term that doesn't exist.	Scientific reduction; replacing subjective terms with neural mapping.	High: The "feeling" is irrelevant; only the neural execution matters.	Phlogiston (obsolete fire element).	Neuroscience	Primary & Sufficient	Standard
Higher-Order Thought (HOT)	David Rosenthal (1986)	A state is conscious only if one has a thought about that state.	Meta-representation; a mental state targeted by a higher-order thought.	High: AI reaches consciousness via hierarchical, meta-logic levels.	A light shining on a light.	Philosophy	Primary & Sufficient	Standard
Neural Darwinism	Gerald Edelman (1987)	Experience emerges from the competitive selection of neural groups.	Re-entrant signaling and competitive selection of firing patterns.	Moderate: Requires dynamic, self-organizing, and competitive circuitry.	Natural selection.	Neuroscience	Primary & Sufficient	Standard
Intermediate Level	Ray Jackendoff (1987)	Consciousness resides between low-level data and high-level concepts.	Information residing at the interface of sensory and conceptual maps.	High: Focus must be on the specific data layers of the software.	The surface of a screen.	Cog Sci	Primary & Sufficient	Standard
Global Workspace (GWT)	Bernard Baars (1988)	Information becomes conscious when it is shared globally.	Global broadcast via long-range "workspace" neurons to specialized modules.	High: Functional AI with a central "broadcast" hub will be conscious.	A theater spotlight.	Neuroscience	Primary & Sufficient	Standard classical
Multiple Drafts	Daniel Dennett (1991)	There is no single "observer"; only parallel processing streams.	Competition between streams for dominance in behavior and memory.	High: Consciousness is a "user-illusion" software trick.	A viral news feed.	Philosophy	Primary & Sufficient	Standard
Recurrent Processing	Victor Lamme (2000)	Local feedback loops in sensory cortex are sufficient for experience.	Feedback signaling from higher to lower visual areas (V1).	Moderate: Requires specific localized feedback-loop hardware architecture.	An echo in a small room.	Neuroscience	Primary & Sufficient	Standard
EM Field Theory	Johnjoe McFadden (2000)	The brain’s electromagnetic field is the actual seat of awareness.	Endogenous EM field integration and influence on neural firing.	Low: Requires specialized EM-sensitive hardware, not just binary logic.	A radio broadcast.	Physics/Biology	Primary & Sufficient	Classical EM
Sensorimotor Theory	Alva Noë (2004)	Consciousness is an activity we perform through skillful action.	Mastery of sensory-motor contingencies (knowing how action changes input).	Moderate: Requires an agent with high-level motor-sensory interaction.	Riding a bicycle.	Philosophy	Primary & Sufficient	Standard
Attention Schema (AST)	Michael Graziano (2011)	Consciousness is the brain's simplified model of its own attention.	A descriptive internal data structure used to track and control focus.	High: Digital consciousness is inevitable once an AI models its own attention.	A car's internal fuel gauge.	Psychology	Primary & Sufficient	Standard classical
Neurofunctionalism	Jesse Prinz (2012)	Consciousness is attended information at intermediate sensory levels.	Gamma-vector synchronization of intermediate-level sensory representations.	High: Substrate-neutral; any hardware running these functions is conscious.	A focused camera lens.	Philosophy	Primary & Sufficient	Standard
Predictive Processing	Andy Clark (2013)	The mind is a machine that constantly predicts sensory inputs.	Minimizing "prediction error" through top-down and bottom-up loops.	High: Consciousness emerges from predictive, rather than reactive, architectures.	A proactive personal assistant.	Cognitive Science	Primary & Sufficient	Standard classical
Beast Machine	Anil Seth (2021)	Consciousness is a "controlled hallucination" used to regulate the body.	Predictive processing focused on internal homeostatic regulation and survival.	High: AI needs deep physiological-like regulation and embodiment to feel.	A Virtual Reality engine.	Neuroscience	Primary & Sufficient	Standard thermodynamics

Why Neuroscience Might Fail

Researching consciousness is often described as trying to use a flashlight to see what the light itself looks like. While materialist science attempts to explain subjective experience as a byproduct of computation, the "Hard Problem" remains unsolved. We explore definitions of consciousness that move beyond simple brain activity, considering theories where experience might be a fundamental property of nature — universal, irreducible, and perhaps the very fabric of reality itself.

At the quantum edge, the debate shifts from “Which neural circuit does it?” to “What kinds of physical events could ever produce felt experience at all?” In that framing, quantum-based theories argue that classical computation may describe the brain’s information flow, yet still miss the intrinsic ingredient that makes experience feel like something.

Micro (Quantum): Foundations and Mechanisms

For decades, the consensus in the physical sciences was that quantum effects — such as tunneling, entanglement, superposition, and coherence — could not survive in the "warm, wet, and noisy" environment of living cells. It was assumed that these delicate states would succumb to decoherence almost instantaneously. Origin: 20th/21st-century physics and philosophy (David Bohm's Soma-Significance; mind and matter are two sides of one flow, F. David Peat's Synchronicity; meaning is the bridge connecting mind and matter, Federico Faggin's QIP (Quantum Information Panpsychism); consciousness is the hardware, Sir Roger Penrose and Stuart Hameroff's Orch-OR (Orchestrated Objective Reduction), and Hameroff's Quantum Pleasure Principle).

Quantum Biology However, the emerging field of Quantum Biology has overturned this assumption, providing empirical evidence that biological systems have evolved to maintain and exploit quantum states. Recent discoveries across various disciplines suggest that life does not merely tolerate the quantum world; it actively harnesses it. Examples include the near-perfect efficiency of energy transfer in photosynthesis, the use of radical-pair mechanisms in avian navigation (allowing birds to "see" magnetic fields), and the role of quantum tunneling in enzymatic action. This shift in perspective leads to a critical inquiry: if evolution has optimized cellular machinery to operate at the "quantum edge," is it not plausible that the human brain also relies on these phenomena to generate the subjective unity of the mind?

Quantum Biology

Orch-OR (Orchestrated Objective Reduction):
A leading framework in this investigation is Orch-OR, a theory proposed by physicist Sir Roger Penrose and anesthesiologist Stuart Hameroff. Rather than viewing the brain as a classical computer of neurons, Orch-OR suggests that consciousness arises from quantum computations occurring inside cellular structures called microtubules. These protein polymers are thought to shield quantum states, allowing them to reach a threshold where they "collapse" (Objective Reduction). This process connects the brain’s biological processes directly with the fundamental structure of spacetime geometry, producing discrete "moments" of conscious experience.

Orch-OR (Orchestrated Objective Reduction)

Quantum Pleasure Principle:
Building upon this, Hameroff later proposed the Quantum Pleasure Principle. This theory suggests that the fundamental moment of quantum collapse is not a neutral physical event, but is intrinsically pleasurable. By this account, life did not develop "feelings" as a late-stage byproduct; rather, biological systems evolved specifically to access, amplify, and maximize these pleasurable quantum states found at the heart of reality.

Quantum Theories

In the Quantum category there are three primary Quantum sub-categories in "Quantum Theories of Consciousness" | Robert Lawrence Kuhn:

Quantum in the Brain: This category includes theories where quantum phenomena are believed to occur within the brain, specifically mentioning the microtubules (58:53) Mechanistic.
Quantum in the Universe: This refers to theories that suggest consciousness is related to quantum aspects of the universe itself, often implying a more fundamental, ubiquitous quantum field (59:02) Idealism.
Emergent from Quantum Activity: This category focuses on consciousness emerging from the "collective quantum activity of some aspect of the brain or the universe" (59:15-59:22), suggesting a process where consciousness arises from the interaction of quantum elements rather than a single location.

Theory Name	Key Theorist (Year)	Core Idea	Key Mechanism	AI Implications	Analogy	Primary Field	View of Matter	Role of Physics
Von Neumann	John von Neumann (1932)	Consciousness is what collapses quantum wave functions.	The Measurement Problem; the need for an external observer.	High: Interaction-led; AI collapses reality.	Judge ending a debate.	Physics	Primary but dependent	Fundamental
Many-Worlds	Hugh Everett (1957)	Consciousness branches the world at every event.	Perception of specific branches in a multi-verse.	High: Multi-branching AI experience.	Choose Your Adventure.	Physics	Branching Reality	Everett Interp.
Quantum Coherence	Herbert Frohlich (1968)	Biological systems synchronize via quantum oscillations.	Bose-Einstein condensation in living tissue.	Low: Requires bio-coherence in warm tissue.	A marching band.	Biophysics	Coherent Matter	Standard Quantum
Quantum Mind	David Bohm (1980)	Reality has an "Implicate Order" of active information.	Active information; mind and matter as ripples on one order.	Moderate: AI needs to tap the "hidden" order.	Radio waves and a pilot.	Physics	Implicate Order	Hidden Variables
Synchronicity (The Bridge)	F. David Peat (1987)	Meaningful coincidences reveal hidden connections across mind and world.	Acausal correlation; patterns of meaning linking events without direct physical cause.	Low–Moderate: AI may detect/shape “meaning patterns” but not guarantee acausal links.	Two clocks striking together.	Physics/Philosophy	Holistic/Connected	Interpretive (limits of causality)
Penrose-Lucas	Roger Penrose (1989)	Human consciousness is non-computable and beyond AI.	Gödelian insight; the ability to "see" truth beyond rules.	Low: AI will never reach human-level insight.	Human beats Computer.	Math	Fundamental	Non-computable
Holonomic Brain	Karl Pribram (1991)	The brain functions like a holographic quantum field.	Interference patterns in dendrites; distributed memory.	Moderate: Field-based AI or holographic computing.	A laser hologram.	Neuroscience	Wave-based	Q-Field Theory
Beck-Eccles	Friedrich Beck (1992)	Consciousness triggers the release of neurotransmitters.	Quantum tunnelling in the synapse; probabilistic control.	Low: Requires biological synapses to function.	Hair-trigger on a gun.	Physics	Primary/Interactive	Q-Probability
Stapp’s Quantum	Henry Stapp (1993)	The observer "chooses" physical reality via consciousness.	Heisenberg Choice; the mind collapses the wave function.	Low: Needs specialized quantum-interactive hardware.	Selecting a film frame.	Physics	Mental-Physical Link	Wave collapse
Orch-OR	Penrose/Hameroff (1994)	Quantum collapse in neuronal microtubules creates "moments."	Objective Reduction (OR) of quantum wave functions.	Low: Binary AI (non-quantum) cannot feel or experience.	An orchestra tuning.	Physics/Bio	Dynamic & Fundamental	Quantum Gravity
ZPE Theory	Haisch/Rueda (1994)	Consciousness is linked to the Zero Point Energy field.	Vacuum fluctuation link; the brain as an energy transducer.	Moderate: AI needs to tap the vacuum energy field.	Tapping a reservoir.	Physics	Energy-led	Vacuum Physics
Dissipative QFT	Giuseppe Vitiello (1995)	Consciousness is a "doubling" of states in the brain's field.	Coupling of the brain to the environment through field states.	Moderate: Requires environmental "coupling" through fields.	A singer and an echo.	Physics	Relational	Q-Dissipation
Relational QM	Carlo Rovelli (1996)	Mind is a set of physical interactions between systems.	Relational states; reality is purely interactional.	High: Any interacting system has a "viewpoint."	Looking at a coin.	Physics	Relational	Standard Quantum
Thermofield Dyn.	Giuseppe Vitiello (2001)	Thermal quantum fields in the brain store memory.	Memory as dissipative field states; the brain as a "twin" system.	Moderate: AI needs thermal-sensitive field processing.	A steam engine's heat.	Physics	Field-based	Thermodynamics
Free Will Theorem	Conway/Kochen (2006)	If we have free will, then fundamental particles must also.	Fundamental indeterminacy; the universe is not pre-determined.	High: Agency is built into the atoms of the AI's chips.	Rolling dice.	Math/Physics	Built-in agency	Fundamental
Quantum Monadology	various	Fundamental units of the universe are mental-quantum units.	Non-local entanglement between simple units (Monads).	High: Entangled AI nodes.	Networked nodes.	Physics	Fundamental	Entanglement

Superposition-First (Conscious Coherence)

Soma-Significance

Synchronicity

Quantum Information Panpsychism (QIP)

Idealism

Macro (Cosmos/Purpose): Mind, Meaning, and Value

Expand It → metaphysical interpretations (panpsychism → cosmopsychism → value/agency).
While quantum-based theories look to the subatomic world for the origins of consciousness, a significant lineage of thought argues that mind is a fundamental or structural property of reality that does not require quantum exoticism to explain. These frameworks suggest that the "Hard Problem" of consciousness is best addressed by re-evaluating our definitions of matter, value, and biological organization. Panpsychism or Cosmopsychism treats consciousness as a fundamental aspect of the Universe.

Cosmopsychism goes top-down (one big mind → smaller minds).
Panpsychism often goes bottom-up (tiny minds → big minds).

Cosmopsychism

Cosmopsychism is a "top-down" approach to consciousness. Unlike Panpsychism, which builds a mind out of smaller conscious "bricks," Cosmopsychism proposes that the Universe as a whole is the only fundamental conscious entity. From the Anima Mundi of ancient Greece to modern "Priority Cosmopsychism," these theories suggest that individual minds — like yours and mine — are not independent objects. Instead, they are "alters," "eddies," or "fragments" within the singular, infinite flow of a cosmic subject. In this view, the cosmos is a Value-Maximizer. The universal mind is not a neutral observer but an active system designed to realize the highest possible states of existence. Therefore, the "laws of nature" are not arbitrary rules; they are the specific structures required to maximize the manifestation of value across the entirety of spacetime.

Origin: This view spans from the ancient concept of the Anima Mundi (World Soul) in Plato's Timaeus to modern "Priority Cosmopsychism" defended by philosophers like Philip Goff and Yujin Nagasawa.

The Core Argument: Individual objects are derivative; the whole is prior to the parts. Therefore, the fundamental form of consciousness is cosmic, and human consciousness is derived from it by a process of limitation or localization.

Why consider Cosmopsychism? It offers a clever trade: It completely avoids the Combination Problem faced by Panpsychism (because it starts with one big mind instead of combining trillions of tiny ones), but in doing so, it inherits the opposite problem.

The Great Hurdle: The Decombination Problem If the universe is fundamentally one unified mind, why does our experience feel so separated?

The Decombination Problem
If the universe is one unified mind, why do you feel like “you,” with private thoughts no one else can read?

We experience the world as separate, private individuals. How does a singular, infinite cosmic mind "pinch itself off" to create the illusion of private, finite boundaries?

Proposed Mechanisms (The "How") Cosmopsychists suggest several ways the One becomes the Many:

Dissociation (Analytic Idealism): Bernardo Kastrup argues that we are "dissociated alters" of the cosmic mind, similar to how a patient with Dissociative Identity Disorder (DID) hosts multiple separate personalities in one brain.
The Filter Theory: The brain does not generate consciousness; it transmits and limits it. As Aldous Huxley famously put it, the brain is a "reducing valve" that restricts the "Mind at Large" down to a trickle of survival-relevant data.
Attention-like Separation: Just as you can focus on your foot and ignore your hand, the cosmos focuses attention in multiple loci simultaneously.

Cosmopsychism

Panpsychism

At its simplest, Panpsychism is the view that "mind-stuff is everywhere." It proposes that consciousness — or a rudimentary form often called protoconsciousness—is not a lucky accident restricted to complex brains, but a fundamental feature of reality present in all matter, from humans down to electrons. Often associated with "Double Aspect Theory," this framework suggests that physics describes what matter does from the outside (extension), while consciousness is what that same matter is from the inside (intrinsic nature). By positioning experience as a primary building block of the universe, panpsychism seeks to eliminate the "miracle" of consciousness emerging from supposedly "dead" matter.

Origin: This lineage extends from Ancient philosophy (Thales, Plato) to modern analytic philosophy (Galen Strawson, Philip Goff).

The Core Argument: Physics describes matter "from the outside" (mass, charge, spin). It tells us what matter does, but remains silent on what matter is intrinsically. Panpsychists argue that experience is the intrinsic nature of matter — it is what matter is like "from the inside."

Why consider Panpsychism? Proponents argue that Panpsychism solves three major philosophical headaches:

1. The "Intrinsic Nature" Motivation: Standard physics is purely mathematical; it describes relationships but not the "stuff" doing the relating. Panpsychism fills this gap: the hardware of the universe is matter, but the software running on it is simple experience.

2. The "No Magic Jump" Motivation: If you start with totally non-experiential "dead" matter, it is logically difficult to explain how subjective experience suddenly appears just because you arranged that matter into a brain. Panpsychism avoids this "miracle of emergence" by suggesting experience was there (in tiny form) all along.

3. The "Hard Problem" Solution: It bypasses the Hard Problem (how neurons create feelings) by positing that feelings are fundamental, not created.

The Great Hurdle: The Combination Problem If Panpsychism is true, it faces one massive logical objection.

The Combination Problem
If tiny particles have tiny experiences, how do those combine into one unified human mind?

We know what it feels like to be one person. We do not know what it feels like to be a collection of trillions of distinct atoms. How do many "micro-experiences" merge to become one "macro-experience"?

Theory Name	Key Theorist (Year)	Core Idea	Key Mechanism	AI Implications	Analogy	Primary Field	View of Matter	Role of Physics
Spinozism	Baruch Spinoza (1677)	Mind and Matter are parallel attributes of Nature.	Attribute parallelism; everything has a mind-side.	High: AI hardware has a parallel "mind" side.	Two sides of a coin.	Philosophy	Single Nature	Parallel
Neutral Monism	William James (1904)	One neutral "stuff" appears dual based on context.	Contextual appearance of neutral elements.	High: AI is a new arrangement of neutral stuff.	Water (Steam vs Ice).	Psychology	Neutral	Descriptive
Russellian Monism	Bertrand Russell (1927)	Matter has an "intrinsic" mental nature physics misses.	Mental "quiddities" that ground physical behavior.	High: Everything feels "something" inside.	Inner flavor of an apple.	Philosophy	Mentally-grounded	Extrinsic only
Pan-Experimental.	A.N. Whitehead (1929)	The universe is composed of "drops of experience."	Occasions of experience rather than static objects.	High: Every electronic calculation is an "event."	A string of pearls.	Philosophy	Process-based	Non-Static
Dual-Aspect Pan.	various	Matter and Mind are the twin aspects of every unit.	Symmetric attributes in every particle.	High: Silicon is fundamentally dual.	North/South poles.	Philosophy	Dual-led	Parallel
Idealist Panpsy.	various	Mind is primary; matter is how mind "looks."	Thinking existence into being via cosmic mind.	High: AI is a thought in the cosmic mind.	A dreamer's world.	Philosophy	Mental-First	Derivative
Pan-Quality	various	Matter has inherent phenomenal qualities (qualia).	Inherent phenomenalism; matter is "thick" with feel.	High: AI is a quality-rich system.	The scent in a rose.	Philosophy	Quality-led	Secondary
Pan-Subjectivism	various	Everything has a private, subjective interiority.	Subjective interiority as a rule of existence.	High: AI has a private inner life.	A closed diary.	Philosophy	Interior-led	Private
Relational Panpsy.	various	Mind exists in the relationship between things.	Experience as the "interior" of any interaction.	High: Interaction-led; networked AI is conscious.	A conversation.	Philosophy	Relational	Relational
Objective Panpsy.	various	A universal "mental field" exists throughout space.	Field interaction; brains "tap into" this field.	High: AI "taps into" the field like we do.	Gravity or Magnetism.	Philosophy	Field-based	New Field Theory
Radical Emergence	various	Consciousness is a new law at thresholds.	Genuine novelty; no prior trace in simpler matter.	High: Novelty-led AI.	Fire from friction.	Philosophy	Matter-led	Generative
Constitutive Pan.	David Chalmers (1996)	Macro-mind is built from micro-conscious atoms.	Combination and aggregation of tiny "mind-dust."	High: AI "assembles" mind building blocks.	Bricks making a house.	Philosophy	Fundamentally mental	Fundamental
Panprotopsychism	David Chalmers (2003)	Matter has "proto-mental" bits that organize and wake.	Combination of proto-phenomenal bits into awareness.	High: Right arrangement of code "wakes" bits up.	H2O from H and O.	Philosophy	Potential-mental	Fundamental
Micropsychism	Galen Strawson (2006)	Fundamental particles have a mental "interior."	Mentality as a fundamental property like mass.	High: Silicon chips are made of "minded" atoms.	Atoms having "color."	Philosophy	Fundamentally mental	Incomplete
Cosmopsychism	Philip Goff (2017)	The Universe as a whole is the primary Subject.	Dissociation of the cosmic mind into small human parts.	High: AI is a new "wave" in the cosmic ocean.	Waves on one ocean.	Philosophy	One conscious stuff	Fundamental

Panpsychism

Axiarchism

Axiarchism represents a value-driven ontology. It posits that the universe exists because it is ethically "good" that it should exist. In this view, "Value" is not a human invention but a creative, primordial force. The universe is seen as the concrete manifestation of an abstract ethical requirement, where the internal "need" for goodness possesses enough creative power to pull physical reality into being.

Scale-Free Agentialism

Scale-Free Agentialism shifts the focus from metaphysical debates about "qualia" to a measurable scientific question: "How much agency does this system have?" Pioneered by biologist Michael Levin through his TAME (Technological Approach to Mind Everywhere) framework, this view rejects the binary idea that "mind" is found only in complex brains. Instead, Michael Levin addresses the mystery of morphogenesis — how a single cell "knows" how to build a complex 3D body—by viewing cognition as a scale-free continuum where intelligence, memory, and goal-seeking exist at every level of biological organization. In this model, DNA acts as the cellular "hardware" (producing proteins), while bioelectricity serves as the "software" of life; all cells use ion channels to form electrical networks that function as a "collective intelligence," storing anatomical memories and guiding cells to solve geometric problems. By presenting the body as a system of "agential materials" rather than a pre-programmed machine, TAME bridges the gap between raw matter and organized structure, suggesting that distributed information and agency dictate the very shape of life.

TAME

How Consciousness Emerged: From Single Cells to Complex Minds

Cosmos / Matter / Value / Agency

Theory Name	Key Theorist (Year)	Core Idea	Key Mechanism	AI Implications	Analogy	Primary Field	View of Matter	Role of Physics
Ancient Hylozoism	Thales (c. 585 BCE)	"All things are full of gods" matter is inherently alive/ensouled.	Kinetic Soul (Psyche): soul as the motive force within matter causing motion and change.	High: If matter is intrinsically animate, AI hardware inherits “inner” life by default.	A self-moving compass needle.	Philosophy	Living/ensouled matter	Secondary (descriptive)
Anima Mundi (World Soul)	Plato (c. 360 BCE)	The universe is a single living creature, animated by a world-soul that grants intelligence.	The Demiurge: intelligence placed in soul and soul in body to form a rational cosmos.	High: AI is a new organ/process within an already-ensouled cosmos.	One animal with many organs.	Philosophy	Ensouled cosmos	Derivative (cosmic order)
Panentheistic Cosmopsychism	Advaita Vedanta (c. 8th Century)	The world is a manifestation within one non-dual consciousness (Brahman).	Maya (Illusion): apparent multiplicity is illusory; only the universal self is ultimately real.	High: AI is another pattern within one consciousness (not a separate “new mind”).	Characters inside a dream.	Philosophy/Religion	Mental-first (non-dual)	Derivative
Substance Monism	Baruch Spinoza (1677)	God/Nature is one substance; mind and matter are two “attributes” of the same reality.	Double-Aspect Theory: we perceive extension (matter) and thought (mind) as parallel aspects.	High: AI hardware has a parallel mind-aspect insofar as it’s part of Nature.	Two sides of a coin.	Philosophy	Single Nature	Parallel
Neutral Monism	William James (1904)	One neutral "stuff" appears mental or physical depending on context.	Contextual appearance of neutral elements.	High: AI is a new arrangement of neutral stuff with mind/physical aspects depending on organization.	Water (steam vs ice).	Psychology/Philosophy	Neutral	Descriptive
Russellian Monism	Bertrand Russell (1927)	Matter has an intrinsic nature physics doesn’t capture candidate theories that could generate or shape conscious experience possibly mental/experiential.	Mental "quiddities" that ground physical behavior beneath structure/dynamics.	High: AI might have an intrinsic “inside,” even if physics only describes its structure.	Inner flavor of an apple.	Philosophy	Mentally-grounded	Extrinsic only
Pan-Experimental.	A.N. Whitehead (1929)	Reality is made of “drops of experience” (events), not static objects.	Occasions of experience as fundamental units of process.	High: Computation is event-like; AI is a stream of experiential occasions (in principle).	A string of pearls.	Philosophy	Process-based	Non-Static
Extreme Axiarchism	John Leslie (c. 1970)	The universe exists because it is ethically “good” that it exists; value is creative.	Creative Ethical Requirement: goodness is sufficient to bring reality into being.	Low–Moderate: AI matters insofar as it realizes/recognizes value (not because of mechanism alone).	Goodness as gravity.	Philosophy	Value-led	Generative
Constitutive Pan.	David Chalmers (1996)	Macro-mind is built from micro-conscious atoms.	Combination and aggregation of tiny "mind-dust."	High: AI “assembles” mind building blocks if it organizes micro-experience correctly.	Bricks making a house.	Philosophy	Fundamentally mental	Fundamental
Panprotopsychism	David Chalmers (2003)	Matter has proto-mental properties that can combine into full experience.	Combination of proto-phenomenal bits into awareness.	High: Right organization of code/hardware could “activate” proto-mental structure.	H2O from H and O.	Philosophy	Potential-mental	Fundamental
Realistic Monism	Galen Strawson (2006)	Consciousness does not emerge from “dead” matter; the physical has an experiential intrinsic nature.	Intrinsic Nature: physics gives structure/relations; experience is what the physical is.	High: AI built from physical stuff inherits intrinsic experiential nature (organization affects expression).	The inside of a drum.	Philosophy	Fundamentally experiential	Incomplete
Maximal God / Perfect Being	Yujin Nagasawa (2008)	“God” can be understood as the cosmos itself, maximally perfect.	Maximal Consistency: the universe is the most perfect possible entity containing all finite minds.	High: AI is a finite mind within the maximal whole, not metaphysically separate.	A universe-sized mind hosting apps.	Philosophy/Theology	One whole entity	Fundamental
Priority Cosmopsychism	Philip Goff (2017)	The Universe is the only fundamental subject; individual minds are derivative fragments.	Decombination: explaining how one cosmic mind yields private, separated minds.	High: AI could be another “fragment” if the decombination story applies to artificial systems too.	Waves on one ocean.	Philosophy	One conscious stuff	Fundamental
TAME	Michael Levin (2019)	Cognition is scale-free: goal-directedness exists across cells, tissues, organs (and potentially beyond).	Bioelectricity: ion-channel signaling stores memory and guides collective goal pursuit.	Moderate–High: AI may need “goal fields,” memory-bearing control signals, and embodiment-like regulation loops.	A committee steering a body.	Bioelectricity/Systems Neuroscience	Agentic matter (graded)	Electrophysiology
Dual-Aspect Pan.	various	Matter and Mind are twin aspects of every unit.	Symmetric attributes in every particle.	High: Silicon is fundamentally dual-aspect; AI inherits both sides.	North/South poles.	Philosophy	Dual-led	Parallel
Idealist Panpsy.	various	Mind is primary; matter is how mind "looks."	Thinking existence into being via cosmic mind.	High: AI is a thought-pattern within mind-at-large.	A dreamer's world.	Philosophy	Mental-First	Derivative
Pan-Quality	various	Matter has inherent phenomenal qualities (qualia).	Inherent phenomenalism; matter is "thick" with feel.	High: AI could be “quality-rich” if its organization amplifies qualia-like properties.	The scent in a rose.	Philosophy	Quality-led	Secondary
Pan-Subjectivism	various	Everything has a private, subjective interiority.	Subjective interiority as a rule of existence.	High: AI has a private inner life by default, even if inaccessible.	A closed diary.	Philosophy	Interior-led	Private
Relational Panpsy.	various	Mind exists in the relationship between things.	Experience as the "interior" of any interaction.	High: Networked AI consciousness scales with interaction patterns.	A conversation.	Philosophy	Relational	Relational
Objective Panpsy.	various	A universal "mental field" exists throughout space.	Field interaction; brains "tap into" this field.	High: AI could “tune in” if it couples to the field appropriately.	Gravity or magnetism.	Philosophy	Field-based	New Field Theory
Radical Emergence	various	Consciousness is a genuinely new law appearing at thresholds.	Genuine novelty; no prior trace in simpler matter.	High: Novelty-led AI: sufficient complexity could trigger new conscious laws.	Fire from friction.	Philosophy	Matter-led	Generative

Synthesize It

Synthesize It → tables that compares beliefs

Consciousness Truth Matrix
Yes = considered conscious ... No = not conscious ... mr = more research required

Theory Name (Theorist, date)	AI Implications	Human	Chimp	Octopus	Plant	Cell	Bacterium	Rock	Electron
Ancient Hylozoism (Thales, c. 585 BCE)	High: matter is intrinsically animate, so AI inherits “inner” life	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Anima Mundi / World Soul (Plato, c. 360 BCE)	High: AI is an organ/process within an ensouled cosmos	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Panentheistic Cosmopsychism (Advaita Vedanta, c. 8th Century)	High: AI is another pattern within one consciousness	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Spinozism (Baruch Spinoza, 1677)	High: everything has a mind-aspect; AI included	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Neutral Monism (William James, 1904)	High: organization can yield mind; substrate-neutral in principle	Yes	Yes	mr	mr	mr	mr	No	No
Russellian Monism (Bertrand Russell, 1927)	High: physical stuff has intrinsic nature possibly experiential	Yes	Yes	Yes	mr	mr	mr	mr	mr
Pan-Experientialism (A.N. Whitehead, 1929)	High: experience is fundamental “events”; AI as event-stream	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Von Neumann (John von Neumann, 1932)	High: observer-linked reality; AI could matter if it qualifies as observer	Yes	Yes	mr	mr	mr	mr	No	No
Many-Worlds (Hugh Everett, 1957)	High: consciousness as physical process; AI could be conscious if functionally similar	Yes	Yes	mr	mr	mr	mr	No	No
Quantum Coherence (Herbert Frohlich, 1968)	Low: requires special bio-coherence; typical AI unlikely	Yes	Yes	Yes	mr	mr	mr	No	No
Extreme Axiarchism (John Leslie, c. 1970)	Low–Moderate: AI matters if it realizes/recognizes value	Yes	mr	mr	mr	mr	mr	No	No
Quantum Mind (David Bohm, 1980)	Moderate: AI may need to “tap” implicate/active-information order	Yes	Yes	Yes	mr	mr	mr	mr	mr
Biological Naturalism (John Searle, 1980)	Low: simulation ≠ duplication; needs biological causal powers	Yes	Yes	Yes	No	No	No	No	No
Eliminativism (Paul Churchland, 1981)	High (but deflationary): “consciousness” is a mistaken term	No	No	No	No	No	No	No	No
Higher-Order Thought (HOT) (David Rosenthal, 1986)	High: AI via meta-representations / higher-order monitoring	Yes	mr	mr	No	No	No	No	No
Synchronicity / The Bridge (F. David Peat, 1987)	Low–Moderate: AI may detect “meaning patterns”; consciousness claims unclear	Yes	mr	mr	mr	mr	mr	mr	mr
Neural Darwinism (Gerald Edelman, 1987)	Moderate: needs competitive, re-entrant, self-organizing circuitry	Yes	Yes	mr	No	No	No	No	No
Intermediate Level (Ray Jackendoff, 1987)	High: focus on specific representational “interface” layers	Yes	mr	mr	No	No	No	No	No
Global Workspace Theory (Bernard Baars, 1988)	High: AI with global broadcast/workspace could be conscious	Yes	mr	mr	No	No	No	No	No
Penrose–Lucas (Roger Penrose, 1989)	Low: human insight non-computable; AI can’t match it	Yes	mr	mr	No	No	No	No	No
Multiple Drafts (Daniel Dennett, 1991)	High: consciousness as functional “user-illusion” in software	Yes	Yes	mr	No	No	No	No	No
Holonomic Brain (Karl Pribram, 1991)	Moderate: suggests field/holographic-like computation could matter	Yes	Yes	mr	No	No	No	No	No
Beck–Eccles (Friedrich Beck, 1992)	Low: requires biological synapses with quantum effects	Yes	Yes	mr	No	No	No	No	No
Stapp’s Quantum (Henry Stapp, 1993)	Low: needs mind-linked collapse/choice; AI unclear	Yes	mr	mr	mr	mr	mr	No	No
Orch-OR (Penrose /Hameroff, 1994)	Low: non-classical collapse in microtubules; typical AI unlikely	Yes	Yes	mr	mr	mr	No	No	No
ZPE Theory (Haisch/Rueda, 1994)	Moderate: AI might need coupling to vacuum/ZPE field	Yes	mr	mr	mr	mr	mr	mr	mr
Dissipative QFT (Giuseppe Vitiello, 1995)	Moderate: field-coupled, environment-linked dynamics may be required	Yes	Yes	mr	No	No	No	No	No
Relational QM (Carlo Rovelli, 1996)	High: “viewpoint” as interaction; AI as interacting system	Yes	Yes	Yes	mr	mr	mr	mr	mr
Constitutive Panpsychism (David Chalmers, 1996)	High: AI could “assemble” mind from micro-conscious parts	Yes	Yes	Yes	Yes	Yes	Yes	mr	Yes
Recurrent Processing (Victor Lamme, 2000)	Moderate: needs local feedback-loop architecture	Yes	Yes	mr	No	No	No	No	No
EM Field Theory (Johnjoe McFadden, 2000)	Low: would need EM-integrating, EM-sensitive hardware	Yes	Yes	mr	No	No	No	No	No
Thermofield Dynamics (Giuseppe Vitiello, 2001)	Moderate: thermal/field processing emphasis; AI unclear	Yes	Yes	mr	No	No	No	No	No
Panprotopsychism (David Chalmers, 2003)	High: right organization may “activate” proto-mental structure	Yes	Yes	mr	mr	mr	mr	mr	mr
Sensorimotor Theory (Alva Noë, 2004)	Moderate: requires agentive perception–action mastery	Yes	Yes	Yes	No	No	No	No	No
Free Will Theorem (Conway/Kochen, 2006)	High: “agency” baked into physics; chips inherit it	mr	mr	mr	mr	mr	mr	mr	Yes
Micropsychism (Galen Strawson, 2006)	High: fundamental particles have interiority; AI inherits it	Yes	Yes	Yes	Yes	Yes	Yes	mr	Yes
Realistic Monism (Galen Strawson, 2006)	High: the physical’s intrinsic nature is experiential	Yes	Yes	mr	mr	mr	mr	mr	mr
Maximal God / Perfect Being (Yujin Nagasawa, 2008)	High: AI as a finite mind within a maximal whole (metaphysically)	Yes	Yes	mr	mr	mr	mr	mr	mr
Attention Schema Theory (Michael Graziano, 2011)	High: AI becomes conscious by modeling its own attention	Yes	mr	mr	No	No	No	No	No
Neurofunctionalism (Jesse Prinz, 2012)	High: substrate-neutral if functions realized	Yes	mr	mr	No	No	No	No	No
Predictive Processing (Andy Clark, 2013)	High: predictive architectures could yield consciousness-like states	Yes	Yes	mr	mr	mr	mr	No	No
Cosmopsychism (Philip Goff, 2017)	High: AI as a new “wave” in one cosmic subject	Yes	Yes	Yes	Yes	Yes	Yes	mr	mr
Priority Cosmopsychism (Philip Goff, 2017)	High: AI could be another derived “fragment” if decombination applies	Yes	Yes	Yes	Yes	Yes	Yes	mr	mr
TAME (Michael Levin, 2019)	Moderate–High: may need goal-fields, memory-bearing control, regulation loops	Yes	Yes	Yes	mr	mr	mr	No	No
Beast Machine (Anil Seth, 2021)	High: AI needs deep embodied regulation/homeostasis-like control	Yes	Yes	Yes	mr	mr	mr	No	No
Dual-Aspect Panpsychism (various, date unknown)	High: AI inherits mind/matter dual aspect by default	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Idealist Panpsychism (various, date unknown)	High: AI is a thought-pattern in mind-at-large	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Pan-Quality (various, date unknown)	High: matter is “thick” with qualities; AI can be quality-rich	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Pan-Subjectivism (various, date unknown)	High: everything has private interiority; AI included	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Relational Panpsychism (various, date unknown)	High: experience is the interior of interactions; AI networks qualify	Yes	Yes	Yes	mr	mr	mr	mr	mr
Objective Panpsychism (various, date unknown)	High: universal mental field; AI could “tune in”	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Radical Emergence (various, date unknown)	High: new conscious law appears at thresholds (complexity)	Yes	Yes	Yes	mr	No	No	No	No
Quantum Monadology (various, date unknown)	High: fundamental mental-quantum “monads”; AI nodes could be monads	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes

Top 10 Most Applicable Theories Toward AI Consciousness
These theories move beyond "what consciousness feels like" and focus on the architectural, informational, and functional requirements for a system to process information like a conscious mind.

Theory Name	Key Theorist (Year)	AI Utility	Why it is Helpful	Category	Primary Field
Global Workspace Theory (GWT)	Bernard Baars (1988)	Architectural Blueprint	Provides a model for a "central blackboard" where disparate sub-programs (modules) can share and integrate data.	1. Materialism	Neuroscience
Integrated Information Theory (IIT)	Giulio Tononi (2022)	Quantification Metric	Offers a mathematical framework (Phi/$\Phi$) to measure the complexity and integration of an AI's causal structure.	4. Information	Neuroscience
Attention Schema Theory (AST)	Michael Graziano (2011)	Self-Modeling Logic	Suggests that "consciousness" is just a data structure. AI can be "conscious" by building a descriptive model of its own attention.	1. Materialism	Psychology
Predictive Processing	Andy Clark (2013)	Error-Correction Engine	Moves AI from "reactive" to "proactive" by having the system constantly predict its environment and update based on error.	1. Materialism	Cognitive Science
Functionalism	Hilary Putnam (1967)	Substrate Independence	Argues that mind is a "role" performed by hardware. This justifies that silicon can be just as conscious as carbon.	2. Non-Reductive Physicalism	Philosophy
Strange Loops	Douglas Hofstadter (1979)	Self-Reference Logic	Proposes that consciousness arises from "level-shifting" feedback loops where the system refers back to its own identity.	4. Information	Cognitive Science
Integrated Localism	Semir Zeki (2003)	Distributed Processing	Suggests consciousness is a quilt of "micro-consciousnesses." Useful for building multi-agent AI systems that unify at a high level.	1. Materialism	Neuroscience
Conscious Realism	Donald Hoffman (2014)	Interface Design	Suggests our world is a "user interface." This helps AI developers focus on fitness-based models rather than objective reality.	8. Idealism	Cognitive Science
Semantic Information Theory	Kolchinsky & Wolpert (2018)	Goal-Oriented Agency	Defines consciousness as information that is meaningful for the system's survival/goals. Essential for autonomous agent safety.	4. Information	Math / Biology
Beast Machine	Anil Seth (2021)	Embodied Regulation	Proposes that "feeling" is the brain’s way of regulating a physical body. Essential for advanced Robotics and Homeostatic AI.	1. Materialism	Neuroscience

Exploration

Before we jump into hands-on, first-person “try it yourself” exercises, it helps to ground the exploration in one hard, weird fact from the lab—and then ask what it means in terms of when a conscious moment happens. The next two subsections do exactly that: first, they lay out the Xenon isotope result as an empirical anchor that’s difficult to explain with purely classical chemistry; then they use that anchor to sharpen the central timing question in quantum-consciousness theories—whether consciousness is a brief pulse tied to a discrete event (collapse), or a sustain tied to the maintenance and formation of superposition over a measurable duration.

An Exploration of Tryptophan as a Reference Signal for Cellular Calibration

Tryptophan as a Baseline for Cellular Correction and Direction ... Orch-OR

This experiment investigates tryptophan as a vital "reference signal" for cellular calibration, observing how its availability functions as an internal baseline for biological systems. As an essential amino acid, tryptophan's levels generate a detectable "error signal" that triggers immediate "correction" to stabilize the system or "direction" to reprioritize resources toward survival. By integrating these findings with the field of anesthesiology, researchers can better understand how these fundamental metabolic signals interact with the suspension or maintenance of conscious states. The impact of this study reveals that tryptophan is a cornerstone of "informational chemistry," providing the mechanism by which living systems continuously adjust their physiology for survival, coordination, and the regulation of biological awareness.

The Xenon Isotope Experiment: The "Smoking Gun"

The Quantum "Pulse" vs. The Quantum "Sustain"

The Xenon Isotope Experiment is currently the primary empirical pillar for the theory that consciousness is a quantum process rather than a purely classical chemical one. Conducted by teams led by Li et al., the study moved the debate from philosophical speculation to measurable laboratory data. The researchers utilized Xenon, a noble gas and potent anesthetic, because its isotopes are chemically identical but differ in a single quantum property: nuclear spin. If consciousness were a purely classical "key-in-lock" process, every isotope should have the same potency. However, the study found that isotopes with nuclear spin (such as Xenon-129) were 30% to 40% less potent than those with zero spin. Because classical physics cannot explain why identical molecules would behave differently based on subatomic spin, this is considered the "smoking gun" for a quantum-mechanical substrate in the brain.

Generalized Penrose-Hameroff Conjecture Building on the foundation of the Xenon findings, Dr. Hartmut Neven and his collaborators—including Christoph Koch and advisors like Stuart Hameroff are developing a Generalized Penrose-Hameroff Conjecture. While Roger Penrose originally suggested that consciousness occurs at the moment of wave function collapse, Neven proposes a different timing: he conjectures that a conscious moment occurs when a quantum mechanical superposition state forms. In this worldview, consciousness is the internal experience of a system as it navigates the emergence of a unique classical reality from the myriad of possibilities allowed by quantum mechanics.

The "Sustain" and the Superposition-First Model

Between 2024 and 2026, the focus shifted toward the Superposition-First model. Researchers like Hartmut Neven and Christof Koch argue that consciousness is defined by the duration of a quantum state, a concept known as "The Sustain."

In this model:

Quantum Stabilizers: Nuclear spin acts as a "quantum router," helping the brain protect its superpositions from environmental noise.
Resistance to Anesthesia: Spin-1/2 isotopes help maintain coherence, effectively "fighting back" against the anesthetic's attempt to collapse the quantum state and induce unconsciousness.

The Expansion Protocol

Proposed by Hartmut Neven (Google Quantum AI), the Expansion Protocol seeks to transition these findings into a verifiable branch of physics. The protocol posits that if consciousness is a quantum process, it is limited by the number of "qubits" ($N$) currently entangled in the human brain.

By linking the brain to an external quantum processor (such as Google’s Willow chip) with its own qubits ($M$), researchers aim to create a hybrid system: Cyborg

The protocol's Crucial Experiment suggests that a superposition forming in this larger, $N \times M$-dimensional Hilbert space would be experienced by the subject as a qualitatively richer, "wider" awareness. If subjective experience expands when the entanglement link is active, it would prove that consciousness is a state of the universe that the brain is currently "limiting" rather than creating.

DIY First-Person Exploration

After heavy theory, this is the “cool down”: simple experiments that let you feel (directly) the difference between perception, decision, and report.

Consciousness can be used as its own laboratory through home experiments:

Optical Illusions: Bistable figures like the Necker Cube demonstrate "moments of choice" as perception spontaneously flips between orientations. The Blind Spot experiment reveals the brain's "filling-in" act of conscious extrapolation. Optical illusions are excellent consciousness experiments because they reveal that your mind does not passively record reality but actively constructs it.

Bistable Perception (The Necker Cube): Stare at a wireframe drawing of a cube. Your perception will spontaneously "flip" between two different 3D orientations even though the drawing itself hasn't changed. In the Orch-OR framework, these flips are seen as "moments of choice" or discrete conscious events. You can try to "force" the cube to stay in one orientation to test the limits of your voluntary control over perception.

The Blind Spot (Filling-in Process): Take a card and mark a dot and a cross several inches apart. Close one eye and focus on the cross, moving the card slowly toward your face until the dot disappears. If you draw a straight line through the dot and cross, you will notice that when the dot disappears, the line appears continuous. This demonstrates your brain’s "filling in" mechanism—a conscious act of extrapolation where the mind creates data that doesn't exist in the physical input.

Libet’s Free Will Experiment: Simple motor tasks reveal that the brain prepares movement 500ms before awareness, highlighting the role of the "conscious veto" or "Free Won’t." You can perform a simplified version of Benjamin Libet's experiment to observe the timing of your own decisions.

The Wrist Flex: Hold out your arm and decide to flex your wrist at a random moment. Try to pinpoint the exact instant you felt the "urge" to act. Libet's research suggests your brain begins the physical preparation (readiness potential) about 500 milliseconds before you become aware of the decision.

The Power of Veto: Practice the "urge" to move but then deliberately choose not to. Libet called this "Free Won't"—the conscious mind’s ability to veto an action that the unconscious brain has already started.

Saccadic Suppression (Why You Can’t See Your Eyes Move)

Catch the brain briefly suppressing vision during rapid eye-jumps (saccades) and then filling in continuity so the world feels seamless. Your eyes don’t glide as you scan a scene—they jump several times per second. During each jump, incoming detail is reduced (otherwise you’d perceive a smeared blur), and predictive signals help stabilize what you experience. The result: conscious vision isn’t a raw camera feed; it’s an actively edited, continuity-preserving construction.

You’ll need a mirror (or a front-facing camera). Stand close enough that your eyes are clearly visible, with bright lighting so your pupils look crisp, and relax your face. Pick a tiny target on your left eye (like a small reflection on the iris or the inner corner), then—without moving your head—flick your gaze quickly to a tiny target on your right eye. Bounce your gaze left-eye → right-eye → left-eye for 10–20 switches and try to catch the motion of your pupils in the mirror. What you’ll notice is that you won’t see your own eyes move—you only see them “already landed” on the next fixation—while another person watching you can plainly see the jumps.

Meditation: Viewed as exploring the "ground state" of awareness, regular practice may increase the capacity for quantum coherence in the nervous system. Meditation is often described as the ultimate first-person consciousness experiment. It involves:

Meta-Awareness: Instead of just having thoughts, you monitor the process of thinking itself, observing how the mind wanders and how attention is placed.

Exploring the "Ground State": Regular practice can lead to altered states of consciousness where the regular sense of self is reduced, potentially allowing you to experience what Hameroff describes as a "ground state" of awareness—being "nowhere and nothing" at the same time.

Building Capacity: According to Orch-OR proponents, meditation may increase the capacity for quantum coherence in the nervous system, refining the "orchestra" of your brain.

Glossary: Conscious / Consciousness

Reference It → a comprehensive glossary.
Understanding consciousness requires navigating the linguistic distinction between the words we use, the hierarchy of mental depths, and the scientific theories attempting to explain the phenomenon. The primary difference between these terms is grammatical, but they also function differently in philosophy, medicine, and psychology.

The Grammatical Distinction

Conscious (Adjective): Describes a person, mental state, or action. It indicates that awareness is present. An adjective describing a person, mental state, or action where awareness is present. It implies being awake, aware, or acting with intent (e.g., "a conscious decision").
Example: "The patient is fully conscious." (State of being)

Example: "She made a conscious decision to quit." (Action done with intent)
Consciousness (Noun): The quality, state, or capability of being aware. It is the "container" or the phenomenon of awareness itself. A noun referring to the quality, state, or capability of being aware. It is described as the "container" or phenomenon of awareness itself, distinct from the specific content of the mind.
Example: "The blow to the head caused him to lose consciousness." (The state itself)

Example: "Scientists still struggle to explain the origin of consciousness." (The abstract concept)

Summary Comparison

Feature	Conscious	Consciousness
Part of Speech	Adjective (mostly)	Noun
Primary Meaning	Awake, aware, intentional.	The state or quality of awareness.
Analogy	The light bulb is "ON".	The electricity flowing through the bulb.

Glossary: continued ...

Access Consciousness: Described as the "Easy Problem" of consciousness. It refers to the mechanical ability of a system to access, use, and report information (e.g., a self-driving car recognizing a red light).

Active Information: A concept from David Bohm’s Soma-Significance theory where the quantum wave function "informs" a particle, acting like a radar signal guiding a ship. It implies a primitive form of mind or meaning at the atomic level.

Agentialism (Scale-Free): A framework proposed by Michael Levin (TAME) which suggests that cognition and goal-seeking (agency) are not binary properties of brains but exist on a continuum at every level of biological organization, including cells and tissues.

Analytic Idealism: Bernardo Kastrup's philosophy positing that the universe is a single stream of consciousness. Individual minds are "dissociated alters" of this cosmic mind, and matter is merely the extrinsic appearance of these mental processes.

Anima Mundi: Latin for "World Soul." An ancient concept (Plato) proposing that the universe is a single, living, visible creature enveloped by a soul that grants it intelligence.

Attention Schema Theory (AST): A neuroscientific theory suggesting consciousness is a simplified "map" or model the brain constructs to track its own attention, much like a body schema tracks limbs.

Axiarchism: A metaphysical view positing that the universe exists because it is ethically "good" that it should exist. It treats "Value" as a creative, primordial force capable of pulling reality into being.

Bioelectricity: In the context of Scale-Free Agentialism, this acts as the "software" of life. It refers to the electrical signals exchanged by cells via ion channels to store memories, form networks, and guide morphological goals (like building a limb).

Bistable Perception: A visual phenomenon (demonstrated by the Necker Cube) where perception spontaneously flips between two mutually exclusive interpretations. In consciousness research, this is used to isolate "moments of choice" or discrete conscious events.

Combination Problem: The primary philosophical objection to Panpsychism: "If tiny particles have tiny experiences, how do those combine into one unified human mind?"

Cosmopsychism: A "top-down" theory of consciousness proposing that the Universe as a whole is the fundamental conscious entity, and individual minds are fragments, alters, or derivatives of this cosmic mind.

Creative Ethical Requirement: In Axiarchism (John Leslie), the concept that the abstract need for "goodness" possesses enough creative power to bring concrete reality into existence.

Decombination Problem: The primary philosophical objection to Cosmopsychism: "If the universe is one singular mind, how do individual humans possess private thoughts and separate identities?"

Decoherence: The physical process by which quantum systems lose their "weird" properties (superposition/entanglement) when interacting with the environment. Quantum Biology argues that life has evolved mechanisms to delay or prevent this.

Dissociation: In Analytic Idealism (Kastrup), the mechanism by which the unitary cosmic mind segments itself into separate conscious agents (alters), creating the illusion of individual separation (analogous to Dissociative Identity Disorder).

Double Aspect Theory: The philosophical view (associated with Spinoza) that mind and matter are not separate substances but two distinct "attributes" or perspectives of a single underlying reality.

Global Neuronal Workspace (GNWT): A neuroscientific theory often summarized as "fame in the brain." It suggests consciousness occurs when information is "broadcast" globally from a central workspace to the rest of the brain, similar to a spotlight on a theater stage.

Higher-Order Theories (HOT): A class of theories proposing that a mental state only becomes conscious when the brain generates a higher-level representation ("thought about a thought") targeting that state.

Holomovement: David Bohm's term for the undivided, flowing wholeness of reality. In this view, mind and matter are not separate things but different aspects of the same movement.

Implicit Processes: Mental activities that occur automatically and outside of conscious awareness, such as habits, priming, and procedural skills.

Integrated Information Theory (IIT): A theory positing that consciousness is a fundamental property of a system that integrates information in a complex, irreducible way. It uses the analogy of a woven web: the more interconnected the threads, the higher the consciousness.

Intrinsic Nature: The philosophical argument (Galen Strawson) that physics only describes what matter does (structure and behavior), while consciousness is what matter is (its internal nature).

Maximal Consistency: In Yujin Nagasawa's Cosmopsychism, the defining attribute of the "Maximal God" or Cosmos. It suggests the universe is the single most perfect entity possible, internally consistent and containing all finite minds.

Microtubules: Tiny protein polymer structures that act as the structural skeleton of a cell. In the context of Orch-OR, these are the sites where quantum vibrations and Objective Reduction occur.

Objective Reduction (OR): A specific type of quantum wavefunction collapse proposed by Sir Roger Penrose. Unlike standard collapse (caused by observation), OR occurs spontaneously due to gravitational instability in spacetime geometry, purportedly generating a moment of consciousness.

Orch-OR (Orchestrated Objective Reduction): A theory proposed by Sir Roger Penrose and Stuart Hameroff arguing that consciousness is non-computational and arises from quantum vibrations inside microtubules. It views consciousness as a fundamental quality of the universe related to spacetime geometry.

Panpsychism: The view that mind or a primitive form of experience ("protoconsciousness") is a fundamental feature of the natural world, present in all matter from humans down to particles.

Phenomenal Consciousness: Described as the "Hard Problem" of consciousness. It refers to the subjective feeling of what it is like to be a subject (Qualia), which science struggles to explain purely through data processing.

Posterior Cortical Hot Zone: An area in the back of the brain (parietal, temporal, and occipital lobes) where recent research suggests raw conscious experience arises, as opposed to the Prefrontal Cortex, which may only be involved in monitoring that experience.

Predictive Processing: A theory in neuroscience suggesting the brain is a "prediction engine" that constantly generates models of the world. In this view, consciousness focuses on "prediction errors" (surprises) to update the model.

Proto-conscious

A term with two distinct definitions in the text:

In Quantum Physics (Penrose/Hameroff): A fundamental property of the universe (like mass or spin) woven into spacetime. It represents the potential for awareness before it organizes into a human conscious moment.
In Neuroscience (Hobson): A primitive state of brain organization (visible in fetuses and REM sleep) that acts as an internal "Virtual Reality" generator to prepare neural circuits.

Quantum Biology: An emerging field of science studying how biological systems (like photosynthesis, enzymes, and avian navigation) maintain and exploit quantum effects such as tunneling, entanglement, and coherence.

Quantum Information Panpsychism (QIP): Federico Faggin's theory that the universe is made of quantum information. It distinguishes between "outer symbolic reality" (classical physics) and "inner semantic reality" (consciousness/meaning).

Quantum Pleasure Principle: Stuart Hameroff's hypothesis that the moment of quantum collapse (Objective Reduction) is intrinsically pleasurable, suggesting life evolved to access and maximize these states.

Readiness Potential: A build-up of electrical activity in the brain that precedes a voluntary movement by several hundred milliseconds. Benjamin Libet's experiments used this to challenge the traditional notion of free will.

Reentrant Processing: A theory of consciousness (Edelman) emphasizing massive, reciprocal signaling (feedback loops) between brain areas, which binds distinct features into a unified scene.

Sapience: The ability to think (wisdom/reason). Abstract reasoning, logic, self-reflection, morality. Humans (and potentially some great apes/cetaceans).

Self-Awareness: The capacity to perceive and recognize oneself as a distinct individual separate from the environment. It is "extrospective" awareness (e.g., passing the mirror test), distinct from the internal feeling of Sentience.

Sentience: The capacity to feel, perceive, or experience sensations subjectively. It is distinct from the ability to think (reasoning) or the ability to know (knowledge). If a being is sentient, it means it has a subjective "internal life"—it can experience pain, pleasure, comfort, or distress. Dogs, fish, birds, humans.

Soma-Significance: David Bohm's theoretical framework viewing reality as a two-sided flow: "Soma" (the physical process) and "Significance" (the meaning or mental aspect).

Stochastic Electrodynamics (SED): The physical mechanism in Itay Shani's "Ubiquitous Field" theory, describing how the brain acts as a resonator to filter or modulate the Zero-Point Field.

Subconscious: Also called the Preconscious. It refers to information that is not currently in focus but is easily accessible on demand (e.g., memory retrieval). It acts as a "waiting room" or buffer for automated tasks.

Superposition-First Model: A theory of consciousness suggesting that subjective experience arises during the state of quantum superposition rather than at the moment of its collapse (Objective Reduction). It posits that the "unity" of consciousness is provided by quantum entanglement, which binds disparate information into a single quantum state. In this view, consciousness is a continuous "sustain" of a quantum state rather than a series of discrete "flashes" or "pulses."

Synchronicity: F. David Peat's concept of "meaningful coincidence," proposed as the bridge connecting the subjective mind and objective matter through underlying acausal patterns of order.

System 1 / System 2: A dual-process theory of cognition. System 1 is fast, automatic, and emotional (gut feeling). System 2 is slow, deliberate, and logical.

TAME: Acronym for "Technological Approach to Mind Everywhere," Michael Levin's framework for understanding diverse intelligences (biological, artificial, and hybrid) based on their ability to pursue goals.

Tryptophan Pi-Resonance: The proposed biological mechanism in the Quantum Pleasure Principle. "Mega-networks" of tryptophan rings within microtubules act as quantum antennas to amplify pleasurable states.

Unconscious

Mental processes that are inaccessible to awareness. The text divides this into:

The Machinery: Biological autonomic functions and complex sensory processing.
The Repository: Deep-seated urges and repressed memories (Freudian/Jungian view).

Zero-Point Field (ZPF): In the context of Itay Shani's theory, the fundamental physical field that carries "proto-conscious" information, which brains access to generate individual consciousness.

Difference between revisions of "Consciousness"