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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... graph - searching algorithms . The procedure generates an explicit graph , G , called the search graph and a subset , T , of G called the search tree . Each node in G is also in T. The search tree is defined by the pointers that are set ...
... graph is the search tree throughout the execution of the algorithm , and there is no need to change parents of the nodes in T. If the implicit graph ... search tree shown in Figure 2.4 . The 66 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS.
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.
PRODUCTION Systems and AI
SEARCH Strategies FOR
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