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Intelligent Systems in Technical and Medical Diagnostics pp 379–389Cite as

Cognitive Memory for Intelligent Systems of Decision-Making, Based on Human Psychology

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 230))

Abstract

A model of memory, which allows to expand the functionality of autonomous decision-making systems for robotic and human-system-interface purposes, is discussed. The model provides functions and features which make the prospective robotic and interfacing systems more human-like as well as more efficient in solving interactive issues.

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Authors and Affiliations

  1. Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Narutowicza 11/12, Gdańsk, Poland

    Zdzisław Kowalczuk & Michał Czubenko

Authors
  1. Zdzisław Kowalczuk
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  2. Michał Czubenko
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Corresponding author

Correspondence to Zdzisław Kowalczuk .

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Editors and Affiliations

  1. , Institute of Control and, University of Zielona Gora, ul. Podgorna 50, Zielona Gora, 65-246, Poland

    Jozef Korbicz

  2. , Institute of Control and, University of Zielona Gora, ul. Podgorna 50, Zielona Gora, 65-246, Poland

    Marek Kowal

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Kowalczuk, Z., Czubenko, M. (2014). Cognitive Memory for Intelligent Systems of Decision-Making, Based on Human Psychology. In: Korbicz, J., Kowal, M. (eds) Intelligent Systems in Technical and Medical Diagnostics. Advances in Intelligent Systems and Computing, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39881-0_32

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  • DOI: https://doi.org/10.1007/978-3-642-39881-0_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39880-3

  • Online ISBN: 978-3-642-39881-0

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