Agent behaviour in double auction electronic market for communication resources

Authors:
Krunoslav Trzec;Ignac Lovrek;Branko Mikac
Affiliations:
Ericsson Nikola Tesla, R&D Centre, Zagreb, Croatia;Faculty of Electrical Engineering and Computing, Department of Telecommunications, University of Zagreb, Zagreb, Croatia;Faculty of Electrical Engineering and Computing, Department of Telecommunications, University of Zagreb, Zagreb, Croatia
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

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Abstract

The paper deals with behaviour of trading agents with the lowest level of bounded rationality on an electronic market where the double auction is applied as a trading mechanism. Two types of double auction have been considered: the clearing house and the continuous double auction. The agent behaviour is modelled using business strategies based on adaptive learning algorithms and imitation which is governed by replicator dynamics from evolutionary game theory. A case study describing optical bandwidth trading on the double auction electronic market is analyzed.