Principles of Artificial IntelligenceA 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. |
From inside the book
Results 1-3 of 34
... substitution instance of an expression , E , using a substitution , s , we write Es . Thus , P [ z , f ( w ) , B ] = P [ x , f ( y ) , B ] sl . The composition of two substitutions s / and s2 is denoted by s1s2 , which is that substitution ...
Nils J. Nilsson. The notions of a consistent set of substitutions and a unifying composition of substitutions are defined as follows . Suppose we have a set of substitutions , { u1 , U2 , ... , u „ } . Each u , is , in turn , a set of ...
... substitutions . The idea of conditional substitutions is impor- tant in program synthesis applications . A conditional substitution is one that contains a conditional expression . The conditions that we use in conditional ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
10 other sections not shown