Case-Based Reasoning: A Research Paradigm

Abstract

Expertise comprises experience. In solving a new problem, we relay on past episodes. We need to remember what plans succeed and what plans fail. We need to know how to modify an old plan to fit a new situation. Case-based reasoning is a general paradigm for reasoning from experience. Case-based reasoning assumes a memory model for representing, indexing and organizing past cases, and a process model for retrieving and modifying old cases, and assimilating new ones. Case-based reasoning provides a scientific cognitive model. The research issues for case-based reasoning include representation of episodic knowledge, memory organization, indexing, planning, case modification, and learning. In addition, computer implementations of case-based reasoning address many of the technological short-comings of standard rule-based expert systems. These engineering concerns include knowledge acquisition and robustness.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA202363

Entities

People

  • Stephen Slade

Organizations

  • Yale University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Biomedical
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Automata Theory
  • Cognition
  • Cognitive Science
  • Computer Languages
  • Computer Programs
  • Computer Vision
  • Computers
  • Expert Systems
  • Information Processing
  • Information Science
  • Information Systems
  • Language
  • Psychology

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Organizational Process Management (OPM).
  • Systems Analysis and Design