A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
The use of design descriptions in automated diagnosis
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Planning with constraints
An approach to dependency directed backtracking using domain specific knowledge
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Building expert systems through the integration of mental models
IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
Utilizing multilevel models and reasoning for diagnosis of a complex electro-mechanical system
IEA/AIE '89 Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
A blackboard architecture for the decision support process
SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
Human interaction with intelligent systems: an overview and bibliography
ACM SIGART Bulletin
The Role of Artificial Intelligence in Understanding the Strategic Decision-Making Process
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Knowledge-Based Decision Support in Business: Issues and a Solution
IEEE Expert: Intelligent Systems and Their Applications
A Knowledge Representation for Constraint Satisfaction Problems
IEEE Transactions on Knowledge and Data Engineering
Polus: Growing Storage QoS Management Beyond a "4-Year Old Kid"
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
Polus: growing storage QoS management beyond a "four-year old kid"
FAST'04 Proceedings of the 3rd USENIX conference on File and storage technologies
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Flexible representations are required in order to understand and generate expert behavior. Although production rules with quantifiers can encode experiential knowledge, they often have assumptions implicit in them, making them brittle in problem scenarios where these assumptions do not hold. Qualitative models achieve flexibility by representing the domain entities and their interrelationships explicitly. However, in problem domains where assumptions underlying such models change periodically, it is necessary to be able to synthesize and maintain qualitative models in response to the changing assumptions. In this paper we argue for a representation that contains partial model components that are synthesized into qualitative models containing entities and relationships relevant to the domain. The model components can be replaced and rearranged in response to changes in the task environment. We have found this "model constructor" to be useful in synthesizing models that explain and generate expert behavior, and have explored its ability to support decision making in the problem domain of business resource planning, where reasoning is based on models that evolve in response to changing external conditions or internal policies.