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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... symbols matching all the symbols of the right - hand side . The effect of the rule is to add ( not replace by ) the symbol occurring on the left - hand side . In Figure 3.5 we show an example in which some ( reverse direction ) rules ...
... symbols , variable symbols , function symbols , and constant symbols set off by parentheses , brackets , and commas , in a manner to be illustrated by examples . A predicate symbol is used to represent a relation in a domain of ...
... symbol or a constant symbol . Mnemonic strings of lower - case letters are used as function symbols . ( Examples : father , mother . ) Lower - case letters near the middle of the alphabet , like f , g , h , etc. , are used in abstract ...
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