---
title: "Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning"
authors:
  - "Sindhu V. Raghavan"
doi: "10.5591/978-1-57735-516-8/IJCAI11-492"
url: "https://ijcai.org/proceedings/2011/492"
pdf: "https://ijcai.org/proceedings/2011/0492.pdf"
venue: "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence"
year: 2011
pages: "2840-2840"
track: ""
keywords:
---

# Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning

Sindhu V. Raghavan

*Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence*, pages 2840-2840. DOI: [10.5591/978-1-57735-516-8/IJCAI11-492](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.