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
Recommended Citation
J. Sticklen et al., "A Model-Based Approach for Organizing Quantitative Computations," Proceedings of the Second Annual Conference on AI, Simulation and Planning in High Autonomy Systems, 1991, Institute of Electrical and Electronics Engineers (IEEE), Jan 1991.
The definitive version is available at https://doi.org/10.1109/AIHAS.1991.138473
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.
Publication Date
01 Jan 1991
