What is A.I ?...

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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] 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 specialised, 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. Some subfields focus on the solution of specific problems. Intelligence artificielle. Un article de Wikipédia, l'encyclopédie libre.

Intelligence artificielle

L'intelligence artificielle est la « recherche de moyens susceptibles de doter les systèmes informatiques de capacités intellectuelles comparables à celles des êtres humains »[1]. Définition[modifier | modifier le code] Le terme « intelligence artificielle », créé par John McCarthy, est souvent abrégé par le sigle « IA » (ou « AI » en anglais, pour Artificial Intelligence). Il est défini par l’un de ses créateurs, Marvin Lee Minsky, comme « la construction de programmes informatiques qui s’adonnent à des tâches qui sont, pour l’instant, accomplies de façon plus satisfaisante par des êtres humains car elles demandent des processus mentaux de haut niveau tels que : l’apprentissage perceptuel, l’organisation de la mémoire et le raisonnement critique »[2],[3].

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? 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.

Outline of artificial intelligence

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. The typical expert system consisted of a knowledge base and an inference engine. 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 : une logique formelle d'ordre 0 (logique des propositions), d'ordre 0+, d'ordre 1 (logique des prédicats) ou d'ordre 2 avecune gestion d'hypothèses monotone ou non monotone,un chaînage avant, chaînage arrière ou mixte,une complétude déductive ou non.

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. Elle peut contenir des règles (dans ce cas, on parle de base de règles), des faits ou d'autres représentations[1]. Si elle contient des règles, un moteur d'inférence - simulant les raisonnements déductifs logiques - peut être utilisé pour déduire de nouveaux faits. Une base de connaissance sert à rassembler - de manière centralisée - l'expertise d'un domaine généralement formalisée de manière déclarative. A ne pas confondre avec : 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. Peter Szolovits MIT Lab for Computer Science This paper appeared as R. Davis, H. 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.

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. 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. Portal:Artificial intelligence. Artificial Intelligence. AIspace. Category:Artificial intelligence. AITopics / HomePage. Alain.colmerauer.free. Category:Philosophy of artificial intelligence.

Artificial Intelligence: How To Build A Robot. Free Online Artificial Intelligence Books :: FreeTechBooks.com. Artificial Intelligence.