Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
Design for acquisition: principles of knowledge-system design to facilitate knowledge acquisition
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems. Part 2
Acquiring strategic knowledge from experts
International Journal of Man-Machine Studies
The acquisition of strategic knowledge
The acquisition of strategic knowledge
Critical decisions under uncertainty: representation and structure
Readings in uncertain reasoning
AI planning: systems and techniques
AI Magazine
Formulation of tradeoffs in planning under uncertainty
Formulation of tradeoffs in planning under uncertainty
Case-based learning of strategic knowledge
EWSL-91 Proceedings of the European working session on learning on Machine learning
Problems of decision rule elicitation in a classification task
Decision Support Systems
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
IEEE Expert: Intelligent Systems and Their Applications
A Method for Putting Strategic Common Sense into Expert Systems
IEEE Transactions on Knowledge and Data Engineering
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This paper proposes a model for making the most opportune choice among a number of alternatives in situations involving trade-offs and uncertainty. Alternative actions are evaluated on the basis of strategic attributes, such as cost and effectiveness, and the choice is dynamically determined. The issue is addressed by proposing a set of rules (trade-off rules) representing strategic knowledge specifically oriented to solve trade-off problems. Trade-off rules are encoded in conditional sentences such as: "if P then Ci is preferred to Cj," where P specifies a condition that must be satisfied by the strategic attributes associated with two candidate alternatives, and Ci and Cj are general selection criteria such as "Select alternative with the minimum (or maximum) value of a specific attribute ATTR." In the first part of the paper, a deep analysis of various trade-off problems and various interdependencies among choices is presented. The second part proposes a general paradigm for strategic reasoning under trade-offs. The paradigm is evaluated using a diagnostic application in the medical domain. Finally, the proposal is discussed in the context of related work.