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Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2840-2840.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-492

Abstract

In this proposal, we introduce Bayesian Abductive Logic Programs (BALP), a probabilistic logic that adapts Bayesian Logic Programs (BLPs) for abductive reasoning. Like BLPs, BALPs also combine first-order logic and Bayes nets. However, unlike BLPs, which use deduction to construct Bayes nets, BALPs employ logical abduction. As a result, BALPs are more suited for problems like plan/activity recognition that require abductive reasoning. In order to demonstrate the efficacy of BALPs, we apply it to two abductive reasoning tasks — plan recognition and natural language understanding.

Sindhu V. Raghavan. 2011. Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2840–2840. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-492
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