Problem-solving methods in artificial intelligence

by Nils J. Nilsson

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Solving problems by heuristically guide, trial-and-error search in a space of possible solutions is a dominant theme in artificial-intelligence research, yet there is no single textbook devoted to explaining the underlying theoretical ideas of these search processes. This book has been written in an attempt to fill that need. It covers throughly the major heuristic search methods used to automatic problem solving, theorem proving, and game playing.

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11 Works 364 Members
Nils John Nilsson was born in Saginaw, Michigan on February 6, 1933. He received a bachelor's degree and a Ph.D. in electrical engineering from Stanford University. He joined the Air Force and served three years at the Rome Air Development Center before joining the Stanford Research Institute in 1961. He helped develop the first general-purpose show more robot and was a co-inventor of algorithms that made it possible for the machine to move about efficiently and perform simple tasks. He later worked on the "Computer-based Consultant," which focused on natural language understanding. He wrote several books including Learning Machines: Foundations of Trainable Pattern-Classifying Systems and The Quest for Artificial Intelligence: A History of Ideas and Achievements. He died on April 21, 2019 at the age of 86. (Bowker Author Biography) show less

Classifications

Genres
Technology, Nonfiction
DDC/MDS
001.5Computer science, information & general worksComputer science, knowledge & systemsKnowledge and learning in general[Formerly: Communication]
LCC
Q335 .N52ScienceScience (General)Cybernetics

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English
Media
Paper
ISBNs
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