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Scalability of evolving networks of trading agents

Wang, J., De Wilde, Philippe (2007) Scalability of evolving networks of trading agents. Intelligent Decision Technologies, 1 (4). pp. 197-204. ISSN 1872-4981. (doi:10.3233/IDT-2007-1403) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:93363)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.3233/IDT-2007-1403

Abstract

Scalability is a vital issue for multi-agent systems. In this paper, we present a trading model of a real-world scenario. It is modelled as networks of interacting agents that can evolve automatically over time, based on behaviors of agents and system configurations. In this model, the agents have resources, and receive a payoff for selling the resources. Agents are regarded as players in a game. We describe an artigicial multi-agent ecosystem where the Darwin's theory of natural selection were applied. as evolutionary dynamics on the population of agents. Through discrete event simulations, the scalability of this model under various system configurations is analyzed and scaling laws are derived.

Item Type: Article
DOI/Identification number: 10.3233/IDT-2007-1403
Uncontrolled keywords: Decision making, Ecosystem, Multi-agent systems, Scalability
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 20 Dec 2022 14:48 UTC
Last Modified: 09 Jan 2023 15:26 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93363 (The current URI for this page, for reference purposes)

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