computation
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Artificial Life
Flies is an old project and I don't plan to update it but the java version is probably the best thing to work from if you want to use the algorithm. I've sped it up quite a bit by using ints and better graphics routines (12th Feb 98) and if you want Craig Reynolds wrote 'Boids' while working as a computer animator at the Symbolics Computer Company.
Gnod
Gnod is my experiment in the field of artificial intelligence. Its a self-adapting system, living on this server and 'talking' to everyone who comes along. Gnods intention is to learn about the outer world and to learn 'understanding' its visitors.Artificial Intelligence Depot
The AI Depot is a website dedicated to helping you solve problems using artificial intelligence . Less hype, more results! Over the decades, AI research has provided numerous techniques for making real-world software more intelligent.
physical
complexity
Der hauptsächliche Unterschied zwischen der Bedienung von einem Holzkohlegrill und einem Gasgrill liegt in der Vorheizdauer. Zwar spielt auch der Geschmack eine Rolle, doch dies gehört in eine andere Kategorie. Möchte man einen Gasgrill bedienen, drückt man, nachdem die Gasflasche angeschlossen wurde, den Knopf der Zündung, und schon entflammt der Brenner.
Joone : Java Object Oriented Neural Engine
history
Marvin Minsky has made many contributions to AI, cognitive psychology, mathematics, computational linguistics, robotics, and optics. In recent years he has worked chiefly on imparting to machines the human capacity for commonsense reasoning. His conception of human intellectual structure and function is presented in two books: The Emotion Machine and The Society of Mind (which is also the title of the course he teaches at MIT).
Marvin Minsky Home Page
Examining the Society of Mind
This article examines Marvin Minsky's Society of Mind theory of human cognition. We describe some of the history behind the theory, review several of the specific mechanisms and representations that Minsky proposes, and consider related developments in Artificial Intelligence since the theory's publication. The functions performed by the brain are the products of the work of thousands of different, specialized sub-systems, the intricate product of hundreds of millions of years of biological evolution. We cannot hope to understand such an organization by emulating the techniques of those particle physicists who search for the simplest possible unifying conceptions. Constructing a mind is simply a different kind of problem—of how to synthesize organizational systems that can support a large enough diversity of different schemes, yet enable them to work together to exploit one another's abilities. [1]
50 years of AI notes
Browse through our AI Memos and AI Technical Reports (older documents are organized by number, newer documents are organized by year). Click here for the complete listing of the entire series ( *warning* - very large file).Recherches relatives: Maisons à vendre | Voitures d'occasion | Rencontre | Hypothèque | Sonneries | lecteur MP3 | Recherche d'emploi | Célibataires chrétiens
PhpWiki - ai
A Presentation By George Dyson In examining the prospects for artificial intelligence and artificial life Samuel Butler (1835-1902) faced the same mysteries that permeate these two subjects today. "I first asked myself whether life might not, after all, resolve itself into the complexity of arrangement of an inconceivably intricate mechanism," he recalled in 1880, retracing the development of his ideas. "If, then, men were not really alive after all, but were only machines of so complicated a make that it was less trouble to us to cut the difficulty and say that that kind of mechanism was 'being alive,' why should not machines ultimately become as complicated as we are, or at any rate complicated enough to be called living, and to be indeed as living as it was in the nature of anything at all to be? If it was only a case of their becoming more complicated, we were certainly doing our best to make them so." [1]
Darwin among the machines
It's been over forty years since the term "Artificial Intelligence" was coined in 1956. During that time, A.I. has pretty successfully maintained an aura of arcane impenetrability, funneling off billions of dollars in research grants... while delivering almost nothing that can really be called 'intelligent'! This Web-branch will try to provide an overview of the state of AI, emphasizing one obscure sub-specialty called 'story representation' that I anticipate will be the key to future successes. I'm more or less an outsider to the world of AI, having read very little and taken only a couple of college courses. But from 1989 to 1992 I was one of the senior research programmers at Northwestern's AI lab-- the Institute for the Learning Sciences.