Principles of Artificial Intelligence
A 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.
Results 1-3 of 23
... first procedure generates new databases in an order similar to that generated by an uninformed backtracking control ... breadth - first because expansion of nodes in the search tree proceeds along " contours " of equal depth . In Figure ...
... BREADTH - FIRST STRATEGY In the breadth - first strategy , all of the first - level resolvents are computed first , then the second - level resolvents , and so on . ( A first - level resolvent is one between two clauses in the base set ...
... breadth - first manner , say ) . Set - of- support strategies are usually more efficient than unconstrained breadth- first ones . In a set - of - support refutation , each resolution has the flavor of a backward reasoning step because ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
10 other sections not shown