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Artificial OR artificielle intelligence. Anonymous - The Singularity Project 2013 - (Project Mayhem Has Begun) Aiimg3.jpg (Image JPEG, 465x525 pixels) Expert system. An expert system is divided into two sub-systems: the inference engine and the knowledge base.

Expert system

The knowledge base represents facts and rules. The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging capabilities.[10] History[edit] Edward Feigenbaum in a 1977 paper said that the key insight of early expert systems was that "intelligent systems derive their power from the knowledge they possess rather than from the specific formalisms and inference schemes they use" (as paraphrased by Hayes-Roth, et al.) Expert systems were introduced by the Stanford Heuristic Programming Project led by Feigenbaum, who is sometimes referred to as the "father of expert systems". In addition to Feigenbaum key early contributors were Bruce Buchanan, Edward Shortliffe, Randall Davis, William vanMelle, and Carli Scott. In the 1980s, expert systems proliferated. Software architecture[edit] R1: Man(x) => Mortal(x) Truth Maintenance.

Système expert. Un article de Wikipédia, l'encyclopédie libre.

Système expert

D'une manière générale, un système expert est un outil capable de reproduire les mécanismes cognitifs d'un expert, dans un domaine particulier. Il s'agit de l'une des voies tentant d'aboutir à l'intelligence artificielle. Artificial intelligence. AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers.

Artificial intelligence

AI research is also divided by several technical issues. Intelligence artificielle. Un article de Wikipédia, l'encyclopédie libre.

Intelligence artificielle

Définition[modifier | modifier le code] Philosophy of artificial intelligence. The philosophy of artificial intelligence attempts to answer such questions as:[1] Can a machine act intelligently?

Philosophy of artificial intelligence

Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. Outline of artificial intelligence. The following outline is provided as an overview of and topical guide to artificial intelligence: Artificial intelligence (AI) – branch of computer science that deals with intelligent behavior, learning, and adaptation in machines. Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Inference engine. An Inference Engine is a tool from Artificial Intelligence.

Inference engine

The first inference engines were components of expert systems. Moteur d'inférence. Un article de Wikipédia, l'encyclopédie libre.

Moteur d'inférence

Un moteur d'inférence (du verbe « inférer » qui signifie « déduire ») est un logiciel correspondant à un algorithme de simulation des raisonnements déductifs. Un moteur d'inférence permet aux systèmes experts de conduire des raisonnements logiques et de dériver des conclusions à partir d'une base de faits et d'une base de connaissances. Les moteurs d'inférences peuvent implémenter : Base de connaissance. Un article de Wikipédia, l'encyclopédie libre.

Base de connaissance

Une base de connaissance regroupe des connaissances spécifiques à un domaine spécialisé donné, sous une forme exploitable par un ordinateur. Knowledge representation and reasoning. Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) devoted to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language.

Knowledge representation and reasoning

Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.

What is a Knowledge Representation? Randall Davis MIT AI Lab Howard Shrobe MIT AI Lab and Symbolics, Inc.

What is a Knowledge Representation?

Peter Szolovits MIT Lab for Computer Science This paper appeared as R. Davis, H. Shrobe, and P. Abstract Although knowledge representation is one of the central and in some ways most familiar concepts in AI, the most fundamental question about it--What is it? IntroductionTerminology and PerspectiveWhat is a Knowledge Representation? Introduction. History of artificial intelligence. The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with "an ancient wish to forge the gods. " The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols.

This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain. The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Precursors[edit] AI in myth, fiction and speculation[edit] Automatons[edit] Timeline of artificial intelligence. Topic:Artificial intelligence. Artificial Intelligence Part of the School of Computer Science Four approaches summarize past attempts to define the field: The study of systems that think like humans.The study of systems that think rationally.The study of systems that act like humans.The study of systems that act rationally.

Of these approaches, the former two are considered to be "white-box" approaches because they require our analysis of intelligence to be based on the rationale for the behaviour rather than the behaviour itself. The latter two are considered "black-box" approaches because they operationalize intelligence by measuring performance over a task domain. Although the third approach, (known as cognitive modelling), is of great importance to cognitive scientists, we concern ourselves with the fourth approach.

This approach motivates us to provide a model for our intelligent systems known as the intelligent agent. Learning projects[edit] See: Learning Projects and the Wikiversity:Learning model. WHAT IS ARTIFICIAL INTELLIGENCE? Artificial Intelligence Books. Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion by Andrew Blake, Michael Isard, 2000 Advances in Robotics, Automation and Controlby Jesus Aramburo, Antonio R. Trevino, 2008, 472 pages, 29MB, ZIP/PDF Advances in Service Roboticsby Ho Seok Ahn, 2008, 342 pages, 57MB, ZIP/PDF. Artificial intelligence. "A.I.

" redirects here. For the Steven Spielberg film see A.I. Artificial Intelligence. Toyota Partner Robot: The walking type playing the trumpet. Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.

Portal:Artificial intelligence. Artificial Intelligence. Welcome to the Wikibook about Artificial Intelligence. The following is a first proposal for a basic layout. This is not yet complete, ideas are welcome. Discuss on the talk page or just add them here. The book is laid out into 5 sections, with increasing detail and complexity.

Each section contains a number of chapters. Introduction[edit] AIspace. These tools are for learning and exploring concepts in artificial intelligence. They were developed at the Laboratory for Computational Intelligence at the University of British Columbia under direction of Alan Mackworth and David Poole. They are part of the online resources for Artificial Intelligence: Foundations of Computational Agents. If you are teaching or learning about AI, you may use these tools under the terms of use. Feedback is welcome. Site Map: These tools were designed and written by Saleema Amershi, Nicole Arksey, Mike Cline, Wesley Coelho, André Gagné, Byron Knoll, Janine Li, Kevin O'Neill, Mike Pavlin, Kyle Porter, Joseph Roy Santos, Shinjiro Sueda, Leslie Tung, Audrey Yap, and Regan Yuen, under the guidance of Giuseppe Carenini, Cristina Conati, Peter Gorniak, Holger Hoos, Jacek Kisyński, Alan Mackworth, and David Poole.

Copyright © 1999 - 2010 S. Category:Artificial intelligence. AITopics / HomePage. Category:Philosophy of artificial intelligence. Artificial Intelligence: How To Build A Robot. Our data shows that most students commit 5+ hours a week. Did you know you can learn from our mobile apps? Every minute counts! How many hours per week are you committed to learning? Hours per week We recommend the "access course materials" option, which is best for casual learners and completely free. Our Coaches can pace you to make the most of your limited time. If you don’t intend to complete the course, we recommend the "Access course materials" option, which is best for casual learners. Great! That’s ok! Free Online Artificial Intelligence Books.

Artificial Intelligence. Defining Artificial Intelligence The phrase “Artificial Intelligence” was first coined by John McCarthy four decades ago. One representative definition is pivoted around comparing intelligent machines with human beings.