Accession Number:

ADA279897

Title:

Case-Based Reasoning in Mixed Paradigm Settings and with Learning

Descriptive Note:

Final rept. 15 Sep 1990-28 Feb 1994

Corporate Author:

MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER AND INFORMATION SCIENCE

Personal Author(s):

• Rissland, Edwina L.

Report Date:

1994-04-30

Pagination or Media Count:

14.0

Abstract:

In this project we investigated 1 CBR in mixed paradigm settings, in particular in a blackboard-based system, called FRANK, that generated various types of explanations and arguments where supporting tasks, such as case-and rule-based reasoning, were dynamically configured to reflect the users intended purposes for the report 2 pure CBR, particularly issues concerning the use of multiple indices and types of case representations, in a system called BankXX. that used classic heuristic best-first search to retrieve information needed for case-based argument and 3 the application of machine learning techniques to core issues in CBR, such as the problems of learning indices and prototype cased and estimating concept theory drift.

Descriptors:

• *HEURISTIC METHODS
• *TAXONOMY
• REASONING
• THEORY
• PROTOTYPES
• LEARNING
• DRIFT
• INFORMATION RETRIEVAL

Subject Categories:

• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE