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 Intelligence"evolved 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 86
A Forward Deduction System 196 6 . 2 . A Backward ... Computation Deductions
and Program Synthesis 241 6 . 5 . A Combination Forward and Backward System
253 6 . 6 . Control Knowledge For Rule - Based Deduction Systems 257 6 . 7 .
Using deduction systems for intelligent information retrieval is discussed in
several papers in the volume by Gallaire and Minker ( 1978 ) . Wong and
Mylopoulos ( 1977 ) discuss the relationships between data models in database
6 Show how RGR can be used in a backward deduction system to obtain a proof
for the goal wff : [ ( Ex ) ( Vy ) P ( x , y ) → ( Vy ) ( 3x ) P ( x , y ) ] 6 . 7 Propose a
heuristic search method to guide rule selection in rule - based deduction systems
What people are saying - Write a review
PRODUCTION SYSTEMS AND AI
SEARCH STRATEGIES FOR
10 other sections not shown