Principles of Artificial Intelligence

封面
Elsevier Science, 1986 - 476 頁

A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.

Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

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內容

PROLOGUE
1
PRODUCTION SYSTEMS AND AI
17
SEARCH STRATEGIES FOR
53
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Principles of Artificial Intelligence
Nils J. Nilsson
有限的預覽 - 1982
Principles of Artificial Intelligence
Nils J. Nilsson
有限的預覽 - 2014
Principles of Artificial Intelligence
Nils J. Nilsson
部分預覽 - 1980
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常見字詞

8-puzzle achieve actions Adders AI production algorithm AND/OR graph applied Artificial Intelligence atomic formula backed-up value backtracking backward block breadth-first breadth-first search called chapter clause form CLEAR(C component contains control regime control strategy cost DCOMP Deleters delineation depth-first search described discussed disjunction domain element-of evaluation function example existentially quantified F-rule formula frame problem global database goal expression goal node goal stack goal wff graph-search HANDEMPTY heuristic HOLDING(A implication initial state description knowledge leaf nodes literal nodes monotone restriction negation node labeled ONTABLE(A optimal path pickup(A precondition predicate calculus procedure production system prove recursive regress represent representation resolution refutation result robot problem rule applications rule-based deduction systems search graph search tree semantic network sequence shown in Figure Skolem function solution graph solve stack(A STRIPS structure subgoal substitutions successors Suppose symbols termination condition theorem theorem-proving tip nodes unifying composition universally quantified unstack(C,A WORKS-IN

關於作者 (1986)

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 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.

書目資訊

書名Principles of Artificial Intelligence
作者Nils J. Nilsson
版本圖解, 重印
出版者Elsevier Science, 1986
來源：維吉尼亞大學
已數位化2009年7月27日
ISBN0934613109, 9780934613101
頁數476 頁
  
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