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Rationality in Context: An Analogical Perspective

  • Conference paper
Modeling and Using Context (CONTEXT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8175))

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Abstract

At times, human behavior seems erratic and irrational. Therefore, when modeling human decision-making, it seems reasonable to take the remarkable abilities of humans into account with respect to rational behavior, but also their apparent deviations from the normative standards of rationality shining up in certain rationality tasks. Based on well-known challenges for human rationality, together with results from psychological studies on decision-making and from previous work in the field of computational modeling of analogy-making, I argue that the analysis and modeling of rational belief and behavior should also consider context-related cognitive mechanisms like analogy-making and coherence maximization of the background theory. Subsequently, I conceptually outline a high-level algorithmic approach for a Heuristic Driven Theory Projection-based system for simulating context-dependent human-style rational behavior. Finally, I show and elaborate on the close connections, but also on the significant differences, of this approach to notions of “ecological rationality”.

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Author information

Authors and Affiliations

  1. Institute of Cognitive Science, University of Osnabrück, 49069, Osnabrück, Germany

    Tarek R. Besold

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  1. Tarek R. Besold
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Editor information

Editors and Affiliations

  1. University Pierre and Marie Curie (UPMC), Place Jussieu 4, 75005, Paris, France

    Patrick Brézillon

  2. University of Roskilde, 4000, Roskilde, Denmark

    Patrick Blackburn

  3. LISTIC - Polytech’Savoie, University of Savoie, P.O. Box 80439, 74944, Annecy-le-Vieux Cedex, France

    Richard Dapoigny

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Besold, T.R. (2013). Rationality in Context: An Analogical Perspective. In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds) Modeling and Using Context. CONTEXT 2013. Lecture Notes in Computer Science(), vol 8175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40972-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-40972-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40971-4

  • Online ISBN: 978-3-642-40972-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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