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Making Sense of a Sequence of Events: A Psychologically Supported AI Implementation

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Book cover Scalable Uncertainty Management (SUM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5785))

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Abstract

People try to make sense of the usually incomplete reports they receive about events that take place. For doing this, they make use of what they believe the normal course of thing should be. An agent\(\textquoteright\)s beliefs may be consonant or dissonant with what is reported. For making sense people usually ascribe different types of relations between events. A prototypical example is the ascription of causality between events. The paper proposes a systematic study of consonance and dissonance between beliefs and reports. The approach is shown to be consistent with findings in psychology. An implementation is presented with some illustrative examples.

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Author information

Authors and Affiliations

  1. IRIT, University of Toulouse, 31062, Toulouse Cedex 9, France

    Philippe Chassy & Henri Prade

Authors
  1. Philippe Chassy
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  2. Henri Prade
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Editor information

Editors and Affiliations

  1. Articial Intelligence Reseach Institute (IIIA), Spanish National Research Council (CSIC), Campus de la Universitat, 08193, Bellaterra, Spain

    Lluís Godo

  2. Department of Electronics, Computer Science and Systems, University of Calabria, Via P. Bucci, 41C, 87036, Rende (CS), Italy

    Andrea Pugliese

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© 2009 Springer-Verlag Berlin Heidelberg

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Chassy, P., Prade, H. (2009). Making Sense of a Sequence of Events: A Psychologically Supported AI Implementation. In: Godo, L., Pugliese, A. (eds) Scalable Uncertainty Management. SUM 2009. Lecture Notes in Computer Science(), vol 5785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04388-8_10

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  • DOI: https://doi.org/10.1007/978-3-642-04388-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04387-1

  • Online ISBN: 978-3-642-04388-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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