Jumping to explanations versus jumping to conclusions
Artificial Intelligence
Rationality Postulates for Induction
Proceedings of the Sixth Conference on Theoretical Aspects of Rationality and Knowledge
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Fuzzy and Bipolar Mathematical Morphology, Applications in Spatial Reasoning
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Lattices of fuzzy sets and bipolar fuzzy sets, and mathematical morphology
Information Sciences: an International Journal
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Using mathematical morphology on formulas introduced recently by Bloch and Lang (Proceedings of IPMU'2000) we define two new explanatory relations. Their logical behavior is analyzed. The results show that these natural ways for defining preferred explanations are robust because these relations satisfy almost all postulates of explanatory reasoning introduced by Pino-PÉrez and Uzcátegui (Artifical Intelligence, 111:131-169, 1999). Actually, the first explanatory relation is Explanatory-Rational. The second one is not even Explanatory-Cumulative but it satisfies new weak postulates.