Epistemic entrenchment and possibilistic logic
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The uncertain reasoner's companion: a mathematical perspective
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On the logic of iterated belief revision
Artificial Intelligence
Nonmonotonic reasoning, conditional objects and possibility theory
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Belief functions and default reasoning
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Conditionals in nonmonotonic reasoning and belief revision: considering conditionals as agents
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Handling Conditionals Adequately in Uncertain Reasoning
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Conditionals (if-then-rules, default rules) are most important objects in knowledge representation and commonsense reasoning. Due to their non-classical nature, however, they are not easily dealt with. In this paper, we present a new approach to represent conditionals inductively in a possibilistic framework. The algebraic theory which underlies this approach proves to guarantee a most appropriate handling of conditional information. Moreover, this novel conditional theory is a very fundamental one, in that it can also be applied to guide possibilistic belief revision and gives rise to a new methodology to learn rules from data.