Heuristic reasoning about uncertainty: an artificial intelligence approach
Heuristic reasoning about uncertainty: an artificial intelligence approach
Psychological characteristics of expert decision makers
Expert judgment and expert systems
Arguments, contradictions and practical reasoning
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
The sensitivity of belief networks to imprecise probabilities: an experimental investigation
Artificial Intelligence - Special volume on empirical methods
Safe and sound: artificial intelligence in hazardous applications
Safe and sound: artificial intelligence in hazardous applications
Applications of Uncertainty Formalisms
Applications of Uncertainty Formalisms
Acceptability of arguments as `logical uncertainty'
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Probability, logic and the cognitive foundations of rational belief
Journal of Applied Logic - Special issue on combining probability and logic
Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains
Artificial Intelligence in Medicine
Autonomous Agents and Multi-Agent Systems
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Medical decision making frequently requires the effective management and communication of uncertainty and risk. However a tension exists between classical probability theory, which is precise and rigorous but which people find non-intuitive and difficult to use, and qualitative approaches which are ad hoc but can be more versatile and easily comprehensible. In this paper we review a range of approaches to uncertainty management, then describe a logical approach, argumentation, which subsumes qualitative as well as quantitative representations and has a clear formal semantics. The approach is illustrated and evaluated in five decision support applications.