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 94
The knowledge about a problem that is represented in the global database is
sometimes called declarative knowledge . In an intelligent information retrieval
system , for example , the declarative knowledge would include the main
database of ...
... predicate COLOR represents a relation between an object and a color .
Formulas built by connecting other formulas by As are called conjunctions , and
each of the component formulas is called a conjunct . Any conjunction composed
of wffs ...
A formula built by connecting two formulas with a → is called an implication . The
left - hand side of an implication is called the antecedent , and the right - hand
side is called the consequent . If both the antecedent and the consequent are wffs
What people are saying - Write a review
PRODUCTION SYSTEMS AND AI
SEARCH STRATEGIES FOR
10 other sections not shown