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Conditional Reasoning and Relevance
Abstract
The paper concerns conditional reasoning and, in particular, the case, where the antecedent of a conditional is true butits consequent is unknown. We pursue the idea to apply abduction in order to find an explanation for the consequent.If such an explanation can be abduced then new conditionals can be generated which are known to be true. This leadsto two problems, viz. that a consequent should not abduce itself and that the antecedent should be strongly relevant tothe consequent of a conditional. Both problems are solved within the Weak Completion Semantics, a new, computational,multi-valued, and non-monotonic logic paradigm which has already been successfully applied to different human reasoningproblems including the suppression and the selection task. The notion of strong relevance developed in the paper is withrespect to the models of a logic program representing the background knowledge of a human reasoning episode and, thus,deviates from the mostly proof theoretic definitions of relevancy in relevance theory.
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