#summary Artificial Intelligence Research @@[Home] -> [ArtificialIntelligenceResearch] http://usvn.ahuman.org/svn/ahwiki/images/wiki/research/ailife.jpg ---- Artificial Intelligence research covers approaches of constructing intelligence feature which is somehow like biological one, by means of software program. == Terms == * *artificial intelligence*: a characteristic, enabling full replacement of a human for a specific subset of human functions == Research targets == See research status grouped by target * [AssociativeMemoryResearch Associative Memory] * Emotional Machine (suppressing mind areas instead of adding smth) == * Find whether Semantic Networks can help * Evaluate reinforcement learning to allow learn state-to-action strategies * Choose a model for low-level associative memory * Evaluate Hierarchical Temporal Memory to create recognition engine * Create a reasonable mind model, starting from draft in [ProjectVision Vision] * Equivalence to biological [Brainparts brain]. external examples: * [http://www.sashacarrion.com/picts/Stop%20Smoking%20Mind%20Model.jpg link] http://www.sashacarrion.com/picts/Stop%20Smoking%20Mind%20Model.jpg * [http://www.thoughtbecomesreality.com/images/MindModel.jpg link] http://www.thoughtbecomesreality.com/images/MindModel.jpg * [http://www.ethics.org.au/resources/img/general-content/holistic-ethics-model.gif link] http://www.ethics.org.au/resources/img/general-content/holistic-ethics-model.gif * [http://perspicuity.net/common/a-mind.jpg link] http://perspicuity.net/common/a-mind.jpg * [http://www.anth.uconn.edu/faculty/dandrade/assets/model-of-the-mind.gif link] http://www.anth.uconn.edu/faculty/dandrade/assets/model-of-the-mind.gif * [http://www.livefreenow.com.au/graphics/img_mindmodel.jpg link] http://www.livefreenow.com.au/graphics/img_mindmodel.jpg == Interesting Things == * MFA controllers are ideal for environmental simulation and test control. Avoiding process models means lower development costs and faster time to market, more robust and precise control means better lab test results, and no manual tuning means lower operating costs and longer up time - see [http://cybosoft.net/technologies/mfaoverview.html] == Useful resources == docs: # [http://www.cs.ualberta.ca/~sutton/book/ebook/the-book.html Reinforcement Learning: Introduction] # [http://scienceblogs.com/developingintelligence Journal: Developing Intelligence] # [http://www.aaai.org/AITopics/pmwiki/pmwiki.php/AITopics/CognitiveScience AAAI: Congnitive Science] # [http://www.numenta.com/Numenta_HTM_Concepts.pdf Hierarchical Temporal Memory, pdf] video: # [http://video.google.com/videoplay?docid=-2500845581503718756 HTM by Jeff Hawkins - Hierarchical Temporal Memory: Theory and Implementation] # [http://mitworld.mit.edu/video/484 Way of thinking model - Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human] # [http://www.youtube.com/watch?v=HVGlfcP3ATI Mind Components]