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Multiagent Recursive Cognitive Architecture

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Biologically Inspired Cognitive Architectures 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 196))

Abstract

The hypothesis of invariant of organizational structure of intelligent decision making process based on cognitive functions, the multiagent recursive cognitive architecture (MuRCA) is proposed. Its application for the creation of self-organizing emergent systems, capable of goal-setting and adaptive behavior based on the semantic models of reality is substantiated.

The paper is written with the support of Russian Foundation for Basic Research grants ## 12-01-00367-a, 12-07-00624-a, 12-07-00744-a.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Problems of Regional Management of Kabardino-Balkar Scientific Center of Russian Academy of Sciences, Kabardino-Balkar, Russia

    Zalimkhan V. Nagoev

Authors
  1. Zalimkhan V. Nagoev
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Corresponding author

Correspondence to Zalimkhan V. Nagoev .

Editor information

Editors and Affiliations

  1. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Antonio Chella

  2. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Roberto Pirrone

  3. Department of Chemical, Management,, Computer, Mechanical Engineering, Università di Palermo, Viale delle Scienze, Building 6 6, Palermo, 90128, Italy

    Rosario Sorbello

  4. , Department of Psychology, Reykjavik University, Menntavegur 1, Reykjavik, 101, Iceland

    Kamilla Rún Jóhannsdóttir

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Nagoev, Z.V. (2013). Multiagent Recursive Cognitive Architecture. In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K. (eds) Biologically Inspired Cognitive Architectures 2012. Advances in Intelligent Systems and Computing, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34274-5_43

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  • DOI: https://doi.org/10.1007/978-3-642-34274-5_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34273-8

  • Online ISBN: 978-3-642-34274-5

  • eBook Packages: EngineeringEngineering (R0)

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