Difference between revisions of "Symbolic Artificial Intelligence"
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* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... | * [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... | ||
| + | * [[SingularityNET#Neural-Symbolic | Neural-Symbolic]] | [[SingularityNET]] | ||
* [[Symbiotic Intelligence]] | * [[Symbiotic Intelligence]] | ||
Revision as of 21:29, 7 May 2023
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- Singularity ... Sentience ... AGI ... Curious Reasoning ...
- Neural-Symbolic | SingularityNET
- Symbiotic Intelligence
The collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. Symbolic AI used tools such as logic programming, production rules, semantic nets and frames, and it developed applications such as knowledge-based systems (in particular, expert systems), symbolic mathematics, automated theorem provers, ontologies, the semantic web, and automated planning and scheduling systems. The Symbolic AI paradigm led to seminal ideas in search, symbolic programming languages, agents, multi-agent systems, the semantic web, and the strengths and limitations of formal knowledge and reasoning systems. Symbolic Artificial Intelligence | Wikipedia
