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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... answer to the question . If the question can be answered from the facts given , the goal wff created in this manner will logically follow from S. After obtaining a proof , we then try to extract an instance of the existentially ...
... answer to the problem . We note that the answer statement has a form similar to that of the goal wff . In this case , the only difference is that we have a constant ( the answer ) in the answer statement in the place of the ...
... answer statement extracted by this process . Obviously , the answer statement depends upon the refutation from which it is extracted . Several different refutations might exist for the same problem ; from each refutation we could ...
PRODUCTION SYSTEMS AND AI
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