An abductive reasoning approach to the belief-bias effect

Luís Moniz Pereira, Emmanuelle Anna Dietz, Steffen Hölldobler

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

8 Citations (Scopus)

Abstract

International Center for Computational Logic (ICCL), TU Dresden, D-01062 Dresden, Germany Abstract: The tendency to accept or reject arguments based on own beliefs or prior knowledge rather than on the reasoning process is called the belief-bias effect. A psychological syllogistic reasoning task shows this phenomenon, wherein participants were asked whether they accept or reject a given syllogism. We discuss one case which is commonly assumed to be believable but not logically valid. By introducing abnormalities, abduction and background knowledge, we model this case under the weak completion semantics. Our formalization reveals new questions about observations and their explanations which might include some relevant prior abductive contextual information concerning some sideeffect. Inspection points, introduced by Pereira and Pinto, allow us to express these definitions syntactically and intertwine them into an operational semantics.

Original languageEnglish
Title of host publication14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014
PublisherAAAI Press
Pages653-656
Number of pages4
ISBN (Electronic)978-157735657-8
Publication statusPublished - 1 Jan 2014
Event14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014 - Vienna, Austria
Duration: 20 Jul 201424 Jul 2014

Conference

Conference14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014
CountryAustria
CityVienna
Period20/07/1424/07/14

Keywords

  • Abductive reasoning
  • Belief-bias effect
  • Human reasoning
  • Inspection points
  • Side-effects

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  • Cite this

    Pereira, L. M., Dietz, E. A., & Hölldobler, S. (2014). An abductive reasoning approach to the belief-bias effect. In 14th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2014 (pp. 653-656). AAAI Press.