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Towards a Cognitive Architecture for the Formal Analysis of Human Behaviour and Learning

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Software Technologies: Applications and Foundations (STAF 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11176))

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Abstract

In this paper we propose a cognitive architecture for the modelling of automatic and deliberate human behaviour as it occurs and evolves in a living environment or in interaction with machine interfaces. Such a cognitive architecture supports the timed modelling of an environment featuring a spatial topology and consisting of an arbitrary number of systems, interfaces and human components. Alternative models of short-term memory can be considered and explored, and long-term memory evolves throughout the time by exploiting experiences and mimicking the creation of expectations as part of mental modelling.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Nazarbayev University, Astana, Kazakhstan

    Antonio Cerone

Authors
  1. Antonio Cerone
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Correspondence to Antonio Cerone .

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Editors and Affiliations

  1. Innopolis University, Innopolis, Russia

    Manuel Mazzara

  2. University of Toulouse, Toulouse Cedex 9, France

    Iulian Ober

  3. Grenoble Alpes University, Montbonnot, France

    Gwen Salaün

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Cerone, A. (2018). Towards a Cognitive Architecture for the Formal Analysis of Human Behaviour and Learning. In: Mazzara, M., Ober, I., Salaün, G. (eds) Software Technologies: Applications and Foundations. STAF 2018. Lecture Notes in Computer Science(), vol 11176. Springer, Cham. https://doi.org/10.1007/978-3-030-04771-9_17

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  • DOI: https://doi.org/10.1007/978-3-030-04771-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04770-2

  • Online ISBN: 978-3-030-04771-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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