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Understanding Restaurant Stories Using an ASP Theory of Intentions

Authors Daniela Inclezan, Qinglin Zhang, Marcello Balduccini, Ankush Israney

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Keywords
  • answer set programming
  • story understanding
  • theory of intentions

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Abstract

The paper describes an application of logic programming to story understanding. Substantial work in this direction has been done by Erik Mueller, who focused on texts about stereotypical activities (or scripts), in particular restaurant stories. His system performed well, but could not understand texts describing exceptional scenarios. We propose addressing this problem by using a theory of intentions developed by Blount, Gelfond, and Balduccini. We present a methodology in which we model scripts as activities and employ the concept of an intentional agent to reason about both normal and exceptional scenarios.

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Daniela Inclezan, Qinglin Zhang, Marcello Balduccini, and Ankush Israney. Understanding Restaurant Stories Using an ASP Theory of Intentions. In Technical Communications of the 33rd International Conference on Logic Programming (ICLP 2017). Open Access Series in Informatics (OASIcs), Volume 58, pp. 7:1-7:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/OASIcs.ICLP.2017.7

Author Details

Daniela Inclezan
Qinglin Zhang
Marcello Balduccini
Ankush Israney

References

  1. Marcello Balduccini and Michael Gelfond. Logic Programs with Consistency-Restoring Rules. In Proceedings of Commonsense-03, pages 9-18. AAAI Press, 2003. Google Scholar
  2. Justin Blount, Michael Gelfond, and Marcello Balduccini. A theory of intentions for intelligent agents. In Proceedings of LPNMR 2015, pages 134-142, 2015. Google Scholar
  3. Michael Gelfond and Vladimir Lifschitz. Classical Negation in Logic Programs and Disjunctive Databases. New Generation Computing, 9(3/4):365-386, 1991. Google Scholar
  4. Erik T. Mueller. Understanding script-based stories using commonsense reasoning. Cognitive Systems Research, 5(4):307-340, 2004. Google Scholar
  5. Erik T. Mueller. Modelling space and time in narratives about restaurants. Literary and Linguistic Computing, 22(1):67-84, 2007. Google Scholar
  6. Michaela Regneri, Alexander Koller, and Manfred Pinkal. Learning script knowledge with web experiments. In Proceedings of the ACL '10, pages 979-988, 2010. Google Scholar
  7. R. C. Schank and R. P. Abelson. Scripts, Plans, Goals, and Understanding: An Inquiry into Human Knowledge Structures. Lawrence Erlbaum, 1977. Google Scholar
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