Knowledge representation and reasoning in answering science questions: a case study for food web questions

Arindam Mitra, Chiita Baral, Peter Clark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A group of researchers from the Allen Institute of Artificial Intelligence has proposed the Aristo challenge that requires answering science questions. The goal of the challenge is to aid in the development of machines that can understand natural language, use knowledge and reason. In this work, we take a subset of those questions, namely the questions from the chapters of food web. We model a consequence operator for the food webs that given a food web and a perturbation to some of the populations aims to compute possible effects on the other populations in the food web. We then use this operator to answers questions of the kind, ‘Explain why the population of rabbits might decrease if the population of mice decreased.’ or ‘Explain why the population of rabbits might change if the population of mice decreased.’ Unlike the previous works which deal with only direct predator-prey situations, here we aim to characterize the effect(s) even when the two populations in the question are indirectly related.

Original languageEnglish (US)
Title of host publicationPrinciples of Knowledge Representation and Reasoning
Subtitle of host publicationProceedings of the 16th International Conference, KR 2018
EditorsMichael Thielscher, Francesca Toni, Frank Wolter
PublisherAAAI press
Pages657-658
Number of pages2
ISBN (Electronic)9781577358039
StatePublished - 2018
Event16th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2018 - Tempe, United States
Duration: Oct 30 2018Nov 2 2018

Publication series

NamePrinciples of Knowledge Representation and Reasoning: Proceedings of the 16th International Conference, KR 2018

Conference

Conference16th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2018
CountryUnited States
CityTempe
Period10/30/1811/2/18

ASJC Scopus subject areas

  • Software
  • Logic

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  • Cite this

    Mitra, A., Baral, C., & Clark, P. (2018). Knowledge representation and reasoning in answering science questions: a case study for food web questions. In M. Thielscher, F. Toni, & F. Wolter (Eds.), Principles of Knowledge Representation and Reasoning: Proceedings of the 16th International Conference, KR 2018 (pp. 657-658). (Principles of Knowledge Representation and Reasoning: Proceedings of the 16th International Conference, KR 2018). AAAI press.