Abstract
This work analyses the results of applying reinforcement learning techniques for chosing agent strategies that model the behaviour of companies within a market. Different kinds of patterns describing states of agent company and strategies describing its activities in given states were analysed. States may depend on company resources (capital, stock level) and activities of customers, suppliers and competing companies. Strategies may be more aggressive or more conservative where the level of profit margin and the range of stock level increases are concerned.
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References
Java Agent Development Platform (2008), http://jade.tilab.com
Moyaux, T., Chaib-draa, B., D’Amours, S.: Supply chain management and multiagent systems: An overview. In: Chaib-draa, B., Muller, J. (eds.) Multiagent Based Supply Chain Management. SCI, vol. 28. Springer, Heidelberg (2006)
Nawarecki, E., Koźlak, J.: Building multi-agent models applied to supply chain management. Control and Cybernetics 39(1), 149–176 (2010)
Pardoe, D., Stone, P.: Adapting in agent-based markets: a study from TAC SCM. In: AAMAS 2007 (2007)
Stockheim, T., Schwind, M., Koenig, W.: A reinforcement learning approach for supply chain management. In: 1st European Workshop on Multi-Agent Systems (2003)
TAC SCM Game Description (2008), http://www.sics.se/tac/
Watkins, C.J.C.H., Dayan, P.: Q-learning. Machine Learning 8(3), 279–292 (1992)
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© 2011 Springer-Verlag Berlin Heidelberg
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Chodura, D., Dominik, P., Koźlak, J. (2011). Market Strategy Choices Made by Company Using Reinforcement Learning. In: Corchado, J.M., Pérez, J.B., Hallenborg, K., Golinska, P., Corchuelo, R. (eds) Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19931-8_11
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DOI: https://doi.org/10.1007/978-3-642-19931-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19930-1
Online ISBN: 978-3-642-19931-8
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