Inductive Generalization with Optimistic Assumption

T. Kanai and S. Kunifuji (Japan)


Induction, Abduction, Optimistic assumption


In this paper, we propose a robust method of inductive generalization which is used abductive reasoning to supplement missing facts. This method can generate inductive hypotheses even if the given background knowledge do not have many missing facts about the domain. In order to manage the lack of facts, the inductive reasoning procedure incorporates abduction which generates optimistic abductive hypothesis to complete the missing facts.

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