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An Agent Cognitive Model for Visual Attention and Response to Novelty

  • Conference paper
Agent and Multi-Agent Systems: Technologies and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 296))

Abstract

Cognitive virtual agents are useful in human behavior simulation. We present a biologically inspired cognitive model for visual attention that takes into account the occurrence of novel stimulus, and it deals with the habituation to novelty. Our approach relies on the identification of cerebral areas involved in attention, semantic memory and non-associative learning; the processes related to each of them and the hypothetical information generated in each step. The model described in this paper is capable to be integrated in a cognitive architecture to interact with other cognitive functions.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Cinvestav Unidad Guadalajara, Zapopan, Mexico

    Cynthia Ávila-Contreras, Ory Medina, Karina Jaime & Félix Ramos

Authors
  1. Cynthia Ávila-Contreras
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  2. Ory Medina
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  3. Karina Jaime
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  4. Félix Ramos
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Corresponding author

Correspondence to Cynthia Ávila-Contreras .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Eng. and Comp. Department of Telecommunications, University of Zagreb, Zagreb, Croatia

    Gordan Jezic

  2. Faculty of Electrical Eng.and Com. Department of Telecommunications, University of Zagreb, Zagreb, Croatia

    Mario Kusek

  3. Faculty of Electrical Eng. and Comp. Department of Telecommunications, University of Zagreb, Zagreb, Croatia

    Ignac Lovrek

  4. KES International, City, United Kingdom

    Robert J. Howlett

  5. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Adelaide, South Australia, Australia

    Lakhmi C. Jain

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© 2014 Springer International Publishing Switzerland

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Ávila-Contreras, C., Medina, O., Jaime, K., Ramos, F. (2014). An Agent Cognitive Model for Visual Attention and Response to Novelty. In: Jezic, G., Kusek, M., Lovrek, I., J. Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technologies and Applications. Advances in Intelligent Systems and Computing, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-319-07650-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-07650-8_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07649-2

  • Online ISBN: 978-3-319-07650-8

  • eBook Packages: EngineeringEngineering (R0)

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