Difference between revisions of "Bio-inspired Computing"
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** [http://www.sciencedirect.com/science/article/pii/S0020019015001507 Flower Pollination Algorithm | R. Wang, Y. Zhou, S. Qiao and K. Huang] | ** [http://www.sciencedirect.com/science/article/pii/S0020019015001507 Flower Pollination Algorithm | R. Wang, Y. Zhou, S. Qiao and K. Huang] | ||
* [http://en.wikipedia.org/wiki/Biodegradability_prediction Biodegradability Prediction | Wikipedia] | * [http://en.wikipedia.org/wiki/Biodegradability_prediction Biodegradability Prediction | Wikipedia] | ||
| − | * [[Neuroscience]] - brain architecture - Cognitive Brain Function (Neurons) - Artificial Neural | + | * [[Neuroscience]] - brain architecture - Cognitive Brain Function (Neurons) - [[Artificial Neural Network (ANN)]] |
* Cells | * Cells | ||
** [http://en.wikipedia.org/wiki/P_system Cell Membrane | Wikipedia] | ** [http://en.wikipedia.org/wiki/P_system Cell Membrane | Wikipedia] | ||
Revision as of 19:04, 8 September 2019
YouTube search... ...Google search
- History of AI
- Case Studies
- Defense
- Lifelong Learning - Catastrophic Forgetting Challenge
- Evolutionary Computation / Genetic Algorithms
- Connecting Brains
- Other Challenges in Artificial Intelligence
Bio-inspired Computing is a subset of metaphor-based metaheuristics
The world of AI has a lot of things around it to thank for its existence in our technological landscape of today. Not only have humans spent decades of research perfecting the mathematical calculations to make these wonderfully complex learning algorithms work but during this time we have looked further than our own species as inspiration to make the next generation of intelligent presence on our planet. Mother Nature, and all that it encompasses, has it’s roots firmly planted in the workings of Artificial Intelligence — and it’s here to stay. 5 Ways mother nature inspires artificial intelligence | Luke James - Towards Data Science
...two algorithm concepts:
- Search/Pathfinding are essentially programs that are designed to find the best/shortest route to an objective. For example, the travelling salesman problem is a typical search optimization issue where you are given a list of cities and distances between those cities.
- Predictive Modelling uses statistics in order to predict outcomes. You often hear Data Scientists attempting to solve two kinds of predictive modelling problems, Regression and Classification.
- Bacterial Foraging Optimization Algorithm | Jason Brownlee
- Bat algorithm | Wikipedia
- Bees
- Biodegradability Prediction | Wikipedia
- Neuroscience - brain architecture - Cognitive Brain Function (Neurons) - Artificial Neural Network (ANN)
- Cells
- Classical/Pavlov Conditioning - Reinforcement Learning (RL)
- Cuckoo Search | Wikipedia
- Cuttlefish Optimization Algorithm | Wikipedia
- Epidemiology of Infectious Disease (networks) | L. Danon, A.P. Ford, T. House, C.P. Jewell, M. Keeling, G.O. Roberts, J.V. Ross, and M.C. Vernon
- Collective Animal Intelligence:
- Flocking (birds) | Wikipedia
- Ant Colony Optimization Algorithms (insects) | Wikipedia
- DARPA Thinks Insect Brains Might Hold the Secret to Next-Gen AI (insects) | Nextgov
- Swarm intelligence (insects) | Wikipedia
- Particle Swarm Optimization | Wikipedia
- Shoaling & Schooling (fish) | Wikipedia
- Herd Behavior (land animals) | Wikipedia
- Evolution Strategy | Wikipedia
- Excitable Media; forest fires, "the wave", heart conditions, axons | Wikipedia
- Firefly Algorithm | Wikipedia
- Fish School Search | Wikipedia
- Fly Algorithm | Wikipedia
- {Leaping} Frog | R. Shivakumar, P.Tamilarasu and M.Panneerselvam
- Genetic Algorithm | Wikipedia - Survival of the Fittest/Evolution
- Grafting (decision trees) | Wikipedia
- (Artificial) Immune System
- (Artificial) Plant Optimization Algorithm | Wikipedia
- Plant Structures | Wikipedia
- Sensory Organs | Wikipedia
