An Integrated Account of Explanation and Question Answering

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dc.contributor.author Meadows, Benjamin en
dc.contributor.author Heald, R en
dc.contributor.author Langley, P en
dc.coverage.spatial California, United States en
dc.date.accessioned 2016-01-21T03:44:37Z en
dc.date.issued 2015-07-25 en
dc.identifier.citation Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015, pp. 1571 - 1576 en
dc.identifier.isbn 9780991196722 en
dc.identifier.uri http://hdl.handle.net/2292/28069 en
dc.description.abstract Many high-level cognitive tasks involve understanding – the mechanisms by which an agent attempts to construct accurate mental representations of its world. In this paper, we discuss two such processes: explanation and question answering. We propose four theoretical assumptions about representation and processing that arise in these tasks: both involve inference, this inference requires making default assumptions, it occurs in an incremental manner, and it produces structures that can be ex- pressed as directed graphs of conceptual ground literals. We analyze two models of explanation and question answering in terms of these commonalities and evaluate experimental claims about them using reading comprehension passages. In closing, we discuss our findings in light of related research. en
dc.description.uri http://cognitivesciencesociety.org/uploads/cogsci_program_2015_final.pdf en
dc.publisher Cognitive Science Society, University of California en
dc.relation.ispartof 37th The Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society en
dc.relation.ispartofseries Proceedings of the 37th Annual Meeting of the Cognitive Science Society en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title An Integrated Account of Explanation and Question Answering en
dc.type Conference Item en
pubs.begin-page 1571 en
dc.rights.holder Copyright: Cognitive Science Society, University of California en
pubs.author-url https://mindmodeling.org/cogsci2015/papers/0274/paper0274.pdf en
pubs.end-page 1576 en
pubs.finish-date 2015-07-25 en
pubs.start-date 2015-07-22 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 516591 en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
pubs.record-created-at-source-date 2016-01-12 en


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