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 131
CHAPTER 4 THE PREDICATE CALCULUS IN AI In many applications , the
information to be encoded into the global database of a production system
originates from descriptive statements that are difficult or unnatural to represent
by simple ...
CHAPTER 4 THE PREDICATE CALCULUS IN AI In many applications , the
information to be encoded into the global database of a production system
originates from descriptive statements that are difficult or unnatural to represent
by simple ...
Page 133
The designer of a representation selects the alphabet of predicates and terms
that he will use and defines what the elements of this alphabet will mean . In the
predicate calculus , a wff can be given an interpretation by assigning a ...
The designer of a representation selects the alphabet of predicates and terms
that he will use and defines what the elements of this alphabet will mean . In the
predicate calculus , a wff can be given an interpretation by assigning a ...
Page 361
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS As we discussed in
chapter 4 , there are many ways to represent a body of knowledge in the
predicate calculus . The appropriateness of a representation depends on the
application ...
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS As we discussed in
chapter 4 , there are many ways to represent a body of knowledge in the
predicate calculus . The appropriateness of a representation depends on the
application ...
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Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AL | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
12 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 backward block called chapter clauses CLEAR(C complete component condition conjunction consider consistent contains control strategy corresponding cost database deduction Deleters described direction discussed evaluation example expression F-rule fact Figure formula function given global database goal goal wff HANDEMPTY heuristic implication important initial instance involves JOHN knowledge labeled language literals logically 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 resolvent 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 |