Title :
A model-based approach for organizing quantitative computations
Author :
Sticklen, Jon ; Kamel, Ahmed ; Bond, W.E.
Author_Institution :
AI/KBS Lab., Michigan State Univ., East lansing, MI, USA
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
Keywords :
artificial intelligence; automobiles; inference mechanisms; velocity control; artificial intelligence; automotive cruise control system; functional reasoning; inference mechanisms; model based reasoning; Application software; Bonding; Computational modeling; Laboratories; Mathematical model; Medical simulation; Organizing; Physics; Problem-solving; Vents;
Conference_Titel :
AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on
Conference_Location :
Cocoa Beach, FL
Print_ISBN :
0-8186-2162-1
DOI :
10.1109/AIHAS.1991.138473