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Logic-based Artificial Intelligence

Autor:Springer;
Categoría:Otros temas
ISBN: 9780792372240
Springer nos ofrece Logic-based Artificial Intelligence en inglés, disponible en nuestra tienda desde el 31 de Diciembre del 2000. Amplía tus conocimientos sobre el mundo de los ordenadores con este libro de informática, perfectamente adaptado para todos los lectores por su cuidado contenido. Este libro cuenta con un total de 632 páginas (2001).
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Argumento de Logic-based Artificial Intelligence

This landmark volume represents the culmination of over 40 years of research in the use of logic as a basis for representing and manipulating problems in the field of artificial intelligence. The use of logic as a
basis for commonsense reasoning was started by John McCarthy in 1959. The collection consists of both original research and surveys of almost every subject that uses logic in AI, contributed by leading scientists, and grew
out of preliminary work presented at the Workshop on Logic-Based Artificial Intelligence held in Washington, DC, June 1999. All papers have been extensively refereed and revised. The introductory article presents
background on research that has transpired since 1959 and discusses the significance of each chapter in this context. The topics covered in the book are commonsense reasoning, knowledge representation, nonmonotonic
reasoning, logic for causation and actions, planning and problem solving, cognitive robotics, logic for agents and actions, inductive reasoning, possibilistic logic, logic and beliefs, logic and language, computational
logic, knowledge base system implementations, and applications of theorem proving and logic programming. Logic-Based Artificial Intelligence is invaluable to graduate students and researchers in artificial intelligence,
and advanced methods for database and knowledge base systems. Logic-Based Artificial Intelligence will also be of interest to those applying theorem proving methods to problems in program and hardware verification, to
those who deal with large knowledge base systems, those developing cognitive robotics, and for those interested in the solution of McCarthy's 1959 "oldest planning problem in AI: getting from home to the airport".
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