Artificial Intelligence
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Artificial Intelligence: A Modern Approach
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).
CCT General Information
A set of 7 poster-sized argumentation maps that chart the entire history of the debate. The maps outline arguments put forth since 1950 by more than 380 cognitive scientists, philosophers, artificial intelligence researchers, mathematicians, and others. Every map presents 100 or more major claims, each of which is summarized succinctly and placed in visual relationship to the other arguments that it supports or disputes.
Use sophisticated fuzzy logic to find duplicates in any data even when entries are misspelled (John Smith vs. John Smyth) or in reverse order such as "Smith, John" and "John, Smith". Find duplicate entries that are abbreviated or contain articles such as: "The Company Name" and "Company Name". Our competition cannot do this!
Fuzzy logic tutorial.
Machines Like Us | Science news at the speed of thought
"The idea that all scientific knowledge is provisional, able to be challenged and overturned, is one thing that separates matters of science from matters of faith."
Lisp | recluze
Lisp is my favourite language. I’ve spent more fun-time with it than any other language. I know very few people who’re actually interested in learning lisp but I also know that it’s one of the greatest tools for teaching newbies about computer programming and the structure of computer programs.
A Non-Mathematical Introduction to Using Neural Networks | Heaton Research
The goal of this article is to help you understand what a neural network is, and how it is used. Most people, even non-programmers, have heard of neural networks. There are many science fiction overtones associated with them. And like many things, sci-fi writers have created a vast, but somewhat inaccurate, public idea of what a neural network is. Most laypeople think of neural networks as a sort of artificial brain. Neural networks would be used to power robots or carry on intelligent conversations with human beings.OpenAi - - about us
The OpenAI site is centered around an Open Source project and community involving artificial intelligence. The term "Open Source" means that the source code for the project is available for free and can be used by others free of charge. Artificial Intelligence refers to the general aim of intelligent computing, making machines think and learn. The project itself is the creation of a set of tools that are considered to be models of human intelligence. These tools are intended to be integrated into programs or used stand alone for research.
Lotus Artificial Life - Hardware Artificial Life
A version of this applet using Sun's Java plug-in is available here . This applet displays a cellular automata substrate capable of supporting evolving, self-reproducing which are capable of universal computation. Central to HAL's design is the use of fine-grained massive parallelism which, on appropriate hardware, should allow maximum possible performance to be reached.This essay was originally part of the series "The Anatomical Basis of Mind", available on this website as The Anatomical Basis of Mind (Neurophysiology & Consciousness). The purpose of that series was to learn & explain what is known about how neurophysiology results in the phenomena of mind&self. Further, to understand which brain/neuronal structures must be preserved to preserve mind&self.
OVERVIEW OF NEURAL NETWORKS
Neuro Evolving Robotic Operatives
Neuro-Evolving Robotic Operatives, or NERO for short, is a unique computer game that lets you play with adapting intelligent agents hands-on. Evolve your own robot army by tuning their artificial brains for challenging tasks, then pit them against your friends' teams in online competitions! New features in NERO 2.0 include an interactive game mode called territory capture, as well as a new user interface and more extensive training tools.Moravec's paradox is the discovery by artificial intelligence and robotics researchers that, contrary to traditional assumptions, high-level reasoning requires very little computation, but low-level sensorimotor skills require enormous computational resources. The principle was articulated by Hans Moravec , Rodney Brooks , Marvin Minsky and others in the 1980s. As Moravec writes: "it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility." Linguist and cognitive scientist Steven Pinker considers this the most significant discovery uncovered by AI researchers. In his book The Language Instinct , he writes: "The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard.