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Author Aha, David W. ♦ Breslow, Leonard A. ♦ Maney, Tucker
Source CiteSeerX
Content type Text
Publisher AAAI Press
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Model-based Reasoning ♦ Machine Learning ♦ Integrated Reasoning Framework ♦ Case Retrieval Task ♦ Generative Planning Module ♦ Behavioral Limitation ♦ Overall System ♦ Conversational Case-based Reasoning ♦ Conver-sational Case-based Reasoning Development Tool ♦ Inferencing Behavior
Description Conversational case-based reasoning (CCBR) has been successfully used to assist in case retrieval tasks. However, behavioral limitations of CCBR motivate the search for integrations with other reasoning approaches. This paper briefly de-scribes our group’s ongoing efforts towards en-hancing the inferencing behaviors of a conver-sational case-based reasoning development tool named NACoDAE. In particular, we focus on integrating NACoDAE with machine learning, model-based reasoning, and generative planning modules. This paper defines CCBR, briefly sum-marizes the integrations, and explains how they enhance the overall system.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1998-01-01
Publisher Institution In D.W. Aha & J.J. Daniels (Eds.), AAAP98 Workshop on Case-Based Reasoning Integrations (Technical Report WS-97-04). Menlo