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. |
From inside the book
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... cost path over the edges of a graph containing ʼn nodes such that the path visits each of the n nodes precisely once . Many puzzles have this same general character . Another example is the 8 - queens problem , where the problem is to ...
... cost to each move and then attempt to find a solution having minimal cost . These elaborations can easily be handled by methods we describe later on . 1.1.2 . THE BASIC PROCEDURE The basic production system algorithm for solving a ...
... costs of a production system into two major categories : rule application costs and control costs . A completely uninformed control system incurs only a small control strategy cost because merely arbitrary rule selection need not depend ...
Nils J. Nilsson. Computational Cost Overall cost for the production system Control strategy cost 0 Rule application cost " Informedness " COMPLETE Fig . 2.1 Computational costs of AI production systems . Completely informed control ...
... costs to arcs , to represent the cost of applying the corresponding rule . We use the notation c ( n1 , n ; ) to denote the cost of an arc directed from node n ; to node n ;. It will be important in some of our later arguments to assume ...
Contents
1 | |
17 | |
53 | |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |