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PDA: A coupling of knowledge and memory for case-based reasoningProblem solving in most domains requires reference to past knowledge and experience whether such knowledge is represented as rules, decision trees, networks or any variant of attributed graphs. Regardless of the representational form employed, designers of expert systems rarely make a distinction between the static and dynamic aspects of the system's knowledge base. The current paper clearly distinguishes between knowledge-based and memory-based reasoning where the former in its most pure sense is characterized by a static knowledge based resulting in a relatively brittle expert system while the latter is dynamic and analogous to the functions of human memory which learns from experience. The paper discusses the design of an advisory system which combines a knowledge base consisting of domain vocabulary and default dependencies between concepts with a dynamic conceptual memory which stores experimental knowledge in the form of cases. The case memory organizes past experience in the form of MOPs (memory organization packets) and sub-MOPs. Each MOP consists of a context frame and a set of indices. The context frame contains information about the features (norms) common to all the events and sub-MOPs indexed under it.
Document ID
19890006191
Document Type
Conference Paper
Authors
Bharwani, S. (Martin Marietta Corp. Huntsville, AL, United States)
Walls, J. (Martin Marietta Corp. Huntsville, AL, United States)
Blevins, E. (Martin Marietta Corp. Huntsville, AL, United States)
Date Acquired
September 5, 2013
Publication Date
October 1, 1988
Publication Information
Publication: NASA, Marshall Space Flight Center, Fourth Conference on Artificial Intelligence for Space Applications
Subject Category
COMPUTER PROGRAMMING AND SOFTWARE
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.