Projects per year
Abstract
We introduce self-interested evolutionary market agents, which act on behalf of service providers in a large decentralised system, to adaptively price their resources over time. Our agents competitively co-evolve in the live market, driving it towards the Bertrand equilibrium, the non-cooperative Nash equilibrium, at which all sellers charge their reserve price and share the market equally. We demonstrate that this outcome results in even load-balancing between the service providers.
Our contribution in this paper is twofold; the use of on-line competitive co-evolution of self-interested service providers to drive a decentralised market towards equilibrium, and a demonstration that load-balancing behaviour emerges under the assumptions we describe.
Unlike previous studies on this topic, all our agents are entirely self-interested; no cooperation is assumed. This makes our problem a non-trivial and more realistic one.
Original language | English |
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Pages | 1071-1080 |
Number of pages | 10 |
DOIs | |
Publication status | Published - 1 Sept 2008 |
Event | Parallel Problem Solving from Nature – PPSN X: Proceedings of the 10th International Conference - Berlin, Heidelberg Duration: 1 Sept 2008 → … |
Conference
Conference | Parallel Problem Solving from Nature – PPSN X: Proceedings of the 10th International Conference |
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City | Berlin, Heidelberg |
Period | 1/09/08 → … |
Keywords
- market-based control
- load-balancing
- self-interested agents
- co-evolution
- decentralised systems
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Dive into the research topics of 'Evolutionary Market Agents for Resource Allocation in Decentralised Systems'. Together they form a unique fingerprint.Projects
- 1 Finished
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Market Based Control of Complex Computational Systems
Yao, X. (Principal Investigator)
Engineering & Physical Science Research Council
1/10/04 → 31/03/10
Project: Research Councils