Knowledge Representation and Reasoning

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Knowledge representation is an area of artificial intelligence concerned with how knowledge can be represented symbolically and manipulated in an automated way by reasoning programs. It is at the very core of a radical idea about how to understand intelligence: instead of trying to understand or build brains from the bottom up, knowledge representation tries to understand or build intelligent behavior from the top down. In particular, the authors ask what an agent would need to know in order to behave intelligently, and what computational mechanisms could allow this knowledge to be made available to the agent as required.

Author(s): Ronald Brachman, Hector Levesque
Series: The Morgan Kaufmann Series in Artificial Intelligence
Edition: 1
Publisher: Morgan Kaufmann
Year: 2004

Language: English
Pages: 413
City: Amsterdam; Boston