Knowledge Representation

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A01=Arthur B. Markman
advanced cognitive modeling techniques
Alignable Differences
Author_Arthur B. Markman
Case Based Reasoning Systems
Category=JMR
Class Inclusion Relations
concept learning
Conceptual Role Semantics
connectionist
connectionist models
constraint
Destination Container
elements
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Explanation Pattern
Heat Exchanger
Hot Pipe
information encoding
Jim Fixx
MDS Solution
mental
Mental Model
mental models
Mental Models Approach
Mental Models Theory
Model Fragment
models
Nonaccidental Properties
parallel
Parallel Constraint Satisfaction
Parallel Constraint Satisfaction Models
perceptual structure
Qualitative Process Theory
Ray Problem
representational
Representational Elements
representations
Represented World
satisfaction
spatial cognition
Structure Mapping Engine
structured
Verb Lexicon
Zebra Finch

Product details

  • ISBN 9780805824407
  • Weight: 703g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Nov 1998
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Knowledge representation is fundamental to the study of mind. All theories of psychological processing are rooted in assumptions about how information is stored. These assumptions, in turn, influence the explanatory power of theories. This book fills a gap in the existing literature by providing an overview of types of knowledge representation techniques and their use in cognitive models.

Organized around types of representations, this book begins with a discussion of the foundations of knowledge representation, then presents discussions of different ways that knowledge representation has been used. Both symbolic and connectionist approaches to representation are discussed and a set of recommendations about the way representations should be used is presented. This work can be used as the basis for a course on knowledge representation or can be read independently. It will be useful to students of psychology as well as people in related disciplines--computer science, philosophy, anthropology, and linguistics--who want an introduction to techniques for knowledge representation.

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