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Context-Sensitivity of Human Memory: Episode Connectivity and Its Influence on Memory Reconstruction

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Book cover Modeling and Using Context (CONTEXT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4635))

Abstract

This paper is testing a DUAL-based model of memory. The model assumes decentralized representation of episodes as a coalition of agents and analogical transfer processes as the basis for memory reconstruction of our past. It is a model of active reconstruction thereby allowing memory insertions and blending of episodes. The experiment explores the role of the degree of internal connectivity of the coalition representing the episode on the outcome of the reconstruction process. It demonstrates that the more the links between the elements of the episode are, the higher the number of details we recall, and the lesser the intruded elements and the context influence.

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Authors and Affiliations

  1. Central and East European Center for Cognitive Science, Department of Cognitive Science and Psychology, New Bulgarian University, 21 Montevideo Street, Sofia 1618, Bulgaria

    Boicho Kokinov, Georgi Petkov & Nadezhda Petrova

Authors
  1. Boicho Kokinov
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  2. Georgi Petkov
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  3. Nadezhda Petrova
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Editor information

Boicho Kokinov Daniel C. Richardson Thomas R. Roth-Berghofer Laure Vieu

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© 2007 Springer-Verlag Berlin Heidelberg

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Kokinov, B., Petkov, G., Petrova, N. (2007). Context-Sensitivity of Human Memory: Episode Connectivity and Its Influence on Memory Reconstruction. In: Kokinov, B., Richardson, D.C., Roth-Berghofer, T.R., Vieu, L. (eds) Modeling and Using Context. CONTEXT 2007. Lecture Notes in Computer Science(), vol 4635. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74255-5_24

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  • DOI: https://doi.org/10.1007/978-3-540-74255-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74254-8

  • Online ISBN: 978-3-540-74255-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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