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 59
... occur relative to F - rule j is important . If the deleter is a descendant of rule j in the graph , we have special ... occurs after a deleter and before F - rule j , thus vitiating the effect of the deleter . Also , if some rule , say ...
... occur before F - rule 4 so that we can delete rule 5. Further , F - rule 2 should occur before F - rule 3 to avoid deleting the CLEAR ( C ) condition of F - rule 2. Now if F - rule 1 occurs between F - rules 2 and 3 , the CLEAR ( C ) ...
... occur in fact structures have implicit universal quantifica- tion in all formulas in which they appear , and variables that occur in goal structures have implicit existential quantification in all formulas in which they appear . Our ...
PRODUCTION SYSTEMS AND AI
SEARCH STRATEGIES FOR
10 other sections not shown