Knowledge Representation and Reasoning
β Scribed by Ronald Brachman, Hector Levesque
- Book ID
- 127445570
- Publisher
- Morgan Kaufmann
- Year
- 2004
- Tongue
- English
- Weight
- 2 MB
- Series
- The Morgan Kaufmann Series in Artificial Intelligence
- Edition
- 1
- Category
- Library
- City
- Amsterdam; Boston
- ISBN
- 008048932X
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
Three formalisms for representing knowledge about knowledge are briefly examined from the point of view of allowing a computer program to communicate its knowledge to a human. The first two formalisms are philosophically motivated and the last is psychologically motivated. Although all three formali