Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning

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.

Cite

Text

Raghavan. "Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-492

Markdown

[Raghavan. "Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/raghavan2011ijcai-bayesian/) doi:10.5591/978-1-57735-516-8/IJCAI11-492

BibTeX

@inproceedings{raghavan2011ijcai-bayesian,
  title     = {{Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning}},
  author    = {Raghavan, Sindhu V.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {2840-2841},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-492},
  url       = {https://mlanthology.org/ijcai/2011/raghavan2011ijcai-bayesian/}
}