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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Nils J. Nilsson. Computational Cost Rule application cost Overall cost for the production system Control strategy cost " Informedness " COMPLETE Fig . 2.1 Computational costs of AI production systems . Completely informed control ...
... cost path constrained to go through node n . That node on OPEN having the smallest value of ƒ is then the node ... cost of a minimal cost path between two arbitrary nodes n , and n ,. ( The function k is undefined for nodes having ...
... costs in ordinary graphs , it is often useful to assign costs to connectors in AND / OR graphs . ( These costs model the costs of rule applications ; again we need to assume that each cost is greater than some small positive number , e ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown