Artificial Intelligence

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New Age International, 2007 - 384 pagine
This Innovative Book On Artificial Intelligence (Ai) Uses The Unifying Thread Of Search To Bring Together The Major Application And Modeling Techniques That Use Symbolic Ai. Each Of The 11 Chapters Is Divided Into 3 Sections:# Section Which Introduces The Techniques# Section Which Develops A Low-Level (Pop-11) Implementation# Section Which Develops A High-Level (Prolog) ImplementationComprehensive Yet Practical, This Book Will Be Of Great Value To Those Experienced In Ai, As Well As To Students With Some Programming Background And Academics And Professionals Looking For A Precise Discussion Of Ai Through Search.This Special Low-Priced Edition Is For Sale In India, Bangladesh, Bhutan, Maldives, Nepal, Myanmar, Pakistan And Sri Lanka Only.
 

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Sommario

SearchRelated Techniques in AI
1
Simple State Space Search
15
Constructing an explicit representation of the searchtree
27
ORtreesearch in Prolog
33
Reading
40
State Space Search
43
The 8puzzle
71
Heuristicsearch
81
The ANDOR Search tree
153
Forward ANDORtree Search
159
Reading
168
Strategies for microworld search
174
Difference tables
183
Parsing search as analysis
201
Expert Systems probabilistic search
243
Concept learning description search
267

Heuristic Search in Prolog
92
Reading
103
Computing successors in the game of nim
109
Worked example
116
Introduction
133
Implementing planning as ANDORtree search
139
Loops in the search space
145
Prolog search as computation
293
References
321
A1 Function to double a number
330
A4 Function to select the larger of two numbers
336
A5 Function to compare two numbers
343
Index
359
Copyright

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