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In this paper, Action Language formalism has been used to reason about narratives in a multi agent framework. The actions have been given a semantic frame representation. Hypothetical situations have been dealt using different states for world knowledge and agents’ knowledge. A notion of plan recognition has been proposed to answer causal queries. Finally, an algorithm has been proposed for automatically translating a given narrative into the representation and causal query entailment has been shown.

ENTAILMENT OF CAUSAL QUERIES IN NARRATIVES USING ACTION LANGUAGE