Abstract

Model based reasoning (MBR) is currently receiving wide spread attention because it offers a way to circumvent the brittleness of reasoning systems built solely on associational knowledge. To date, most MBR approaches have focused on the use and manipulation of qualitative models. The authors report their experience in applying techniques of functional reasoning to the general problem of organizing quantitative calculations. As a testbed, they have solved a problem initially posed at the Model-Based Diagnosis workshop (Paris, July, 1989): representing an automotive cruise control system. The results show that the principles of the functional reasoning approach can provide leverage in device domains characterized by quantitative data. A discussion of the current state of research in model based reasoning is included

Meeting Name

Second Annual Conference on AI, Simulation and Planning in High Autonomy Systems, 1991

Department(s)

Computer Science

Keywords and Phrases

Artificial Intelligence; Automobiles; Automotive Cruise Control System; Functional Reasoning; Inference Mechanisms; Model Based Reasoning; Velocity Control

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1991 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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