Soar is a state-of-the art computational theory of the mind that has had a significant impact in both artificial intelligence and cognitive science. Begun by John E. Laird, Allen Newell, and Paul S. Rosenbloom at Carnegie Mellon in the early 1980s, the Soar Project is an investigation into the architecture underlying intelligent behavior with the goal of developing and applying a unified theory of natural and artificial intelligence. The Soar Papers - sixty-three articles in all - provide in one place the important ideas that have emerged from this project. The book is organized chronologically, with an introduction that provides multiple organizations according to major topics. Readers interested in the entire effort can read the articles in publication order, while readers interested only in a specific topic can go directly to a logical sequence of papers to read on that topic. Major topics covered in this volume include: the direct precursors of Soar; the Soar architecture; implementation issues; intelligent capabilities (such as problem solving and planning, learning, and external interaction); domains of application; psychological modeling; perspectives on Soar; and using Soar.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
John E. Laird is John L. Tishman Professor of Engineering in the Computer Science and Engineering Department at the University of Michigan.
The late Allen Newell was U.A. and Helen Whitaker University Professor of Computer Science at Carnegie Mellon University.
Paul S. Rosenbloom is Professor in the Computer Science Department at the University of Southern California and Project Leader at USC's Institute for Creative Technologies.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Kloof Booksellers & Scientia Verlag, Amsterdam, Pays-Bas
Etat : as new. Cambridge : The MIT Press, 1993. 2 Volumes. Paperback. xli, 1-702,[19]; x,703-1438 pp. 26 cm. - This two-volume collection compiles research on Soar, a cognitive architecture designed to simulate human intelligence. It covers the foundations of Soar, exploring its theoretical basis for modeling problem-solving, decision-making, and cognitive processes. The second section delves into algorithmic and computational insights, focusing on the architecture's inner workings like symbolic processing and memory. The third part highlights applications and case studies, demonstrating Soar's use in fields like robotics, game playing, and decision support systems. Finally, the work discusses theoretical contributions in understanding intelligence, cognition, and learning. The papers contribute significantly to artificial intelligence and cognitive science, offering a framework for building integrated, intelligent systems that combine learning, reasoning, and memory in a unified model. Condition : as new copy. ISBN 9780262680714. Keywords : SCIENCE, artificial intelligence (AI). N° de réf. du vendeur 303915
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