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Adaptation to Market Development Through Price Setting Strategies in Agent-Based Artificial Economic Model

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

The paper is focused on the incorporation of costs in relation to the selection of the price setting strategies which, in general, represent crucial part of economic agents’ decision making. Study and research of efficient decision making related to the price setting are important especially in agent-based economic systems which are intended application area for obtained results. This paper provides detailed description of various cost types used in traditional economic analysis and an effort has been made to identify constant (i.e. stable) and/or dynamic factors, typically related to the volume of production) in the cost calculation. Simulation part supports provided discussion about these design questions of artificial economic models in several scenarios.

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Acknowledgements

The Financial support of the Specific Research Project “Autonomous Socio-Economics Systems” of FIM UHK is gratefully acknowledged.

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Authors and Affiliations

  1. University of Hradec Kralove, Hradec Kralove, Czech Republic

    Petr Tucnik, Petr Blecha & Jaroslav Kovarnik

Authors
  1. Petr Tucnik
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  2. Petr Blecha
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  3. Jaroslav Kovarnik
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Corresponding author

Correspondence to Petr Tucnik .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management , Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Tucnik, P., Blecha, P., Kovarnik, J. (2017). Adaptation to Market Development Through Price Setting Strategies in Agent-Based Artificial Economic Model. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_53

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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