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.
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Nils J. Nilsson. graph and search tree shown in Figure 2.4 . The dark arrows along certain arcs in this search graph are the pointers that define parents of nodes in the search tree . The solid nodes ... search 67 GRAPH - SEARCH STRATEGIES.
... graph - search process generated only one successor at a time . Usually , the backtracking implementation is preferred to the depth - first version of GRAPHSEARCH because back- tracking is simpler to implement and involves less storage ...
... to order the nodes on OPEN in step 8 of GRAPHSEARCH so that search expands along those sectors of the frontier thought to be most promising . In order to 72 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS Heuristic Graph-search Procedures.
PRODUCTION Systems and AI
SEARCH Strategies FOR
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