Artificial Intelligence
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The leading textbook in Artificial Intelligence. Used in over 1200 universities in over 100 countries. The 25th most cited publication on Citeseer (and 2nd most cited publication of this century).
Artificial Intelligence: A Modern Approach
On Intelligence - Wikipedia, the free encyclopedia
On Intelligence: How a New Understanding of the Brain will Lead to the Creation of Truly Intelligent Machines is a book by Palm Pilot -inventor Jeff Hawkins with New York Times science writer Sandra Blakeslee . The book explains Hawkins' memory-prediction framework theory of the brain and describes some of its consequences. (Times Books: 2004, ISBN 0-8050-7456-2 )On Intelligence - Welcome
Numenta Inc. , formed by Jeff Hawkins, Donna Dubinsky and Dileep George has begun researching the practical application of Jeff's theories. The Numenta technology, called Hierarchical Temporal Memory (HTM), is based on a theory of the neocortex described in On Intelligence . Welcome to OnIntelligence.org, the companion Web site for the book On Intelligence . If you liked the book, want to learn more about the book or want to discuss the book with others, this web resource is for you. I hope this Web site becomes a communications tool for people interested in building intelligent memory systems and contributing to the theory presented in the book. Engineers, computer scientists and neuroscientists interested in formalizing the concepts in the book, implementing the algorithms in software and testing the theory biologically should find material of interest here.
Computing pioneers Jeff Hawkins and Donna Dubinsky founded Numenta to develop a new approach to machine intelligence first described in Hawkins' book On Intelligence . Numenta has created a cloud-based prediction engine for streaming data called Grok. The Grok engine automatically discovers patterns in data streams, enabling your applications to predict future values and detect anomalies.
Numenta - numenta.com
Hierarchical temporal memory - Wikipedia, the free encyclopedia
Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex . HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence . HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world. Jeff Hawkins states that HTM does not present any new idea or theory, but combines existing ideas to mimic the neocortex with a simple design that provides a large range of capabilities. HTM combines and extends approaches used in Bayesian networks , spatial and temporal clustering algorithms, while using a tree-shaped hierarchy of nodes that is common in neural networks .
The Redwood Center for Theoretical Neuroscience is a group of theorists consisting of faculty, postdocs and graduate students. We are part of the Helen Wills Neuroscience Institute at the University of California at Berkeley, located in the 5th floor of Evans Hall on the Berkeley campus. Our goal is to develop mathematical and computational models of the underlying neurobiological mechanisms involved in perception, cognition, learning, and motor function. We collaborate with experimental neuroscience labs in the design of experiments and in the analysis of neural data.
Redwood Center for Theoretical Neuroscience
We've completed a functional (and much better) version of our .NET-based Hierarchical Temporal Memory (HTM) engines (great job Rob). We're also still working on an HTM based robotic behavioral framework (and our 1st quarter goal -- yikes - we're late). Also, we are NOT using Numenta's recently released run-time and/or code... since we're professional .NET consultants/developers, we decided to author our own implementation from initial prototypes authored over the summer of 2006 during an infamous sabbatical -- please don't ask about the "Hammer" stories. I've been feeling that the team has not been in synch in terms of HTM concepts, theory and implementation. We decided to spend the last couple of meetings purely focused on discussions concerning HTMs. This has resulted in a new HTM based initiative (in line with our charter) that utilizes HTMs as the basis of chess playing game engine and in the team rededicating itself to gain deeper insights into HTM-based networks and AIs.
Hierarchical Temporal Memory
Artificial General Intelligence in Second Life | UgoTrade
Virtual worlds are the golden path to achieving Artificial General Intelligence and positive Singularity, Dr Ben Goertzel’s, CEO of Novamente LLC and author of “ The Hidden Pattern: A Patternist Philosophy of Mind” explained in his presentation “Artificial General Intelligence in Virtual Worlds” given at the Singularity Summit 2007 earlier this month. According to Goertzel, Singularity is no longer a far future idea. About a year ago Goertzel gave a talk “Ten Years to a Positive Singularity — If We Really, Really Try.”
News Do we have innate knowledge? Neuroscientists working on Blue Brain Project at EPFL (Ecole Polytechnique Fédérale de Lausanne) are finding proof that this is the case
EPFL | Bluebrain
Autonomic Computing refers to the self-managing characteristics of distributed computing resources, adapting to unpredictable changes while hiding intrinsic complexity to operators and users. Started by IBM in 2001, this initiative ultimately aims to develop computer systems capable of self-management , to overcome the rapidly growing complexity of computing systems management, and to reduce the barrier that complexity poses to further growth. An autonomic system makes decisions on its own, using high-level policies; it will constantly check and optimize its status and automatically adapt itself to changing conditions.
Autonomic Computing - Wikipedia, the free encyclopedia
An autonomous agent is an intelligent agent operating on an owner's behalf but without any interference of that ownership entity. An intelligent agent , however appears according to a multiply cited statement in a no longer accessible IBM white paper as follows: Intelligent agents are software entities that carry out some set of operations on behalf of a user or another program with some degree of independence or autonomy, and in so doing, employ some knowledge or representation of the user's goals or desires.
Autonomous agent - Wikipedia, the free encyclopedia
Evolvable hardware - Wikipedia, the free encyclopedia
Evolvable hardware (EH) is a new field about the use of evolutionary algorithms (EA) to create specialized electronics without manual engineering. It brings together reconfigurable hardware, artificial intelligence , fault tolerance and autonomous systems . Evolvable hardware refers to hardware that can change its architecture and behavior dynamically and autonomously by interacting with its environment. [ edit ] Introduction In its most fundamental form an evolutionary algorithm manipulates a population of individuals where each individual describes how to construct a candidate circuit. Each circuit is assigned a fitness , which indicates how well a candidate circuit satisfies the design specification.Hugo de Garis - Wikipedia, the free encyclopedia
Hugo de Garis (born 1947, Sydney, Australia) is a researcher in the sub-field of artificial intelligence (AI) known as evolvable hardware . He became known in the 1990s for his research on the use of genetic algorithms to evolve neural networks using three dimensional cellular automata inside field programmable gate arrays . He claimed that this approach would enable the creation of what he terms "artificial brains" which would quickly surpass human levels of intelligence . [ 1 ] He has more recently been noted for his belief that a major war between the supporters and opponents of intelligent machines, resulting in billions of deaths, is almost inevitable before the end of the 21st century. [ 2 ] :234 He suggests AIs may simply eliminate the human race, and humans would be powerless to stop them because of technological singularity .Strong A.I
For John Searle 's Strong AI hypothesis, see Philosophy of artificial intelligence Strong AI is artificial intelligence that matches or exceeds human intelligence — the intelligence of a machine that can successfully perform any intellectual task that a human being can. [ 1 ] It is a primary goal of artificial intelligence research and an important topic for science fiction writers and futurists . Strong AI is also referred to as " artificial general intelligence " or as the ability to perform "general intelligent action". [ 3 ] Science fiction associates strong AI with such human traits as consciousness , sentience , sapience and self-awareness . Some references emphasize a distinction between strong AI and "applied AI" [ 4 ] (also called "narrow AI" [ 1 ] or " weak AI " [ 5 ] ): the use of software to study or accomplish specific problem solving or reasoning tasks that do not encompass (or in some cases are completely outside of) the full range of human cognitive abilities.Bionics - Wikipedia, the free encyclopedia
Bionics (also known as biomimicry , biomimetics , bio-inspiration , biognosis , and close to bionical creativity engineering ) is the application of biological methods and systems found in nature to the study and design of engineering systems and modern technology . [ citation needed ] The word bionic was coined by Jack E. Steele in 1958, possibly originating from the technical term bion (pronounced bee-on ) (from Greek : βίος ), meaning 'unit of life ' and the suffix -ic , meaning 'like' or 'in the manner of', hence 'like life'. Some dictionaries, however, explain the word as being formed as a portmanteau from bio logy + electro nics . It was popularized by the 1970s television series The Six Million Dollar Man and The Bionic Woman , which were influenced by Steele's work, and feature humans given superhuman powers by electromechanical implants.Research & Projects
Cognitive Architecture
What is A.I ?...
Wikipedia has some short comings when you get close to controversial stuff and AI can sometimes reach into that territory so other sources can on occasions give you a more (non-committee--or non-group "good feelings" think message) true picture. by electronics Sep 15
Hi, Thx for all the stuff...i use wiki simply as "a good initial source of quality information..." & I hope that i don't use it too much though I clearly love it...this pearltree is just starting, there will be more subfolders later. by noosquest Sep 15
Oh yeah, according to http://twitter.com/John_Idol you should call this section or a nearby one AGI--http://en.wikipedia.org/wiki/Strong_AI by electronics Sep 15
Oh yea, this person tweets about AI and might be interesting to chat with (or tweet with): http://twitter.com/John_Idol by electronics Sep 15
Using one source (Wikipedia) is bad news--even if they're a good initial source of quality information. I think if you’re really into this you should list their sources instead or in addition to the information you have here. Just my 2 cents worth of opinion ;) by electronics Sep 15