Principles of Artificial IntelligenceA 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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Page 22
One might argue that if a control strategy of a production system possessed
sufficient knowledge about a puzzle to select irrevocably an appropriate rule to
apply to each state description , then it would have the puzzle ' s solution built
into it ...
One might argue that if a control strategy of a production system possessed
sufficient knowledge about a puzzle to select irrevocably an appropriate rule to
apply to each state description , then it would have the puzzle ' s solution built
into it ...
Page 48
The knowledge about a problem that is represented in the global database is
sometimes called declarative knowledge . In an intelligent information retrieval
system , for example , the declarative knowledge would include the main
database of ...
The knowledge about a problem that is represented in the global database is
sometimes called declarative knowledge . In an intelligent information retrieval
system , for example , the declarative knowledge would include the main
database of ...
Page 422
REPRESENTATIONAL FORMALISMS The example problems that we have
considered in this book demonstrate that the first - order predicate calculus can
be used to represent much of the knowledge needed by Al systems . There are ...
REPRESENTATIONAL FORMALISMS The example problems that we have
considered in this book demonstrate that the first - order predicate calculus can
be used to represent much of the knowledge needed by Al systems . There are ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown
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Common terms and phrases
achieve actions algorithm AND/OR graph answer applied arcs Artificial Intelligence assume attempt backtracking backward block called chapter clause CLEAR(C complete component condition consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed efficient evaluation example expression F-rule fact Figure formula function given global database goal goal stack goal wff HANDEMPTY heuristic important initial involves JOHN knowledge labeled language literals logic match methods move namely node Note obtained occur ONTABLE(A operation path possible precondition predicate calculus problem procedure production system proof prove quantified reasoning refutation represent representation resolution result robot rule satisfied selected sequence shown in Figure simple solution graph solve specify statement step STRIPS structure subgoal substitutions successors Suppose symbols termination theorem unifying unit University variables
Bibliographic information
| Title | Principles of Artificial Intelligence Symbolic computation |
| Author | Nils J. Nilsson |
| Edition | illustrated |
| Publisher | Tioga Publishing Company, 1980 |
| Original from | the University of Michigan |
| Digitized | 15 Nov 2007 |
| ISBN | 0935382011, 9780935382013 |
| Length | 476 pages |
| Export Citation | BiBTeX EndNote RefMan |