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