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 49
Nils J. Nilsson. have a " robot - type " problem in which the system must find a sequence of robot actions that change a configuration of blocks . We can specify the goal by a wff that describes the set of states acceptable as goal ...
... Robot problem solving and automatic programming are two domains in which these kinds of problems occur . 7.1 . ROBOT PROBLEM SOLVING Research on robot problem solving has led to many of our ideas about problem solving systems . Since robot ...
... robot finds itself , and the rules are computations representing the robot's actions . 7.1.1 . STATE DESCRIPTIONS AND GOAL DESCRIPTIONS State descriptions and goals for robot problems can be constructed from predicate calculus wffs , as ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
10 other sections not shown