Artificial Intelligence
From statistical knowledge bases to degrees of belief
Artificial Intelligence
Elements of a theory of computer simulation I: sequential CA over random graphs
Applied Mathematics and Computation
Representing Epistemic Uncertainty by Means of Dialectical Argumentation
Annals of Mathematics and Artificial Intelligence
Risk Agoras: Dialectical Argumentation for Scientific Reasoning
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Argument-based applications to knowledge engineering
The Knowledge Engineering Review
A Manifesto for Agent Technology: Towards Next Generation Computing
Autonomous Agents and Multi-Agent Systems
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We propose a formal treatment of scenarios in the context of a dialectical argumentation formalism for qualitative reasoning about uncertain propositions. Our formalism extends prior work in which arguments for and against uncertain propositions were presented and compared in interaction spaces called Agoras. We now define the notion of a scenario in this framework and use it to define a set of qualitative uncertainty labels for propositions across a collection of scenarios. This work is intended to lead to a formal theory of scenarios and scenario analysis.