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 31
... state description , the negative of the number of tiles " out of place , " as compared to the goal state description . For example , the value of this function for the initial state in Figure 1.1 is -4 , and the value for the goal state ...
... state description by the j - th F - rule that survive as preconditions of the i - th F - rule . The entries in cell ( i , 0 ) , for i < N + 1 , are those literals in the initial state description that survive as precondi- tions of the i ...
... state description by adding HOLDING ( B ) and deleting ON ( B , C ) ; in particular , it does not add HOLDING ( A ) ... initial state description , rather than vice versa . Such a system starts with a goal description ( again a conjunction ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
10 other sections not shown