By Scott Heckbert, Wiktor Adamowicz, Peter Boxall, Daniel Hanneman (auth.), Gennaro Di Tosto, H. Van Dyke Parunak (eds.)

This quantity encompasses a number of the papers offered on the tenth overseas Workshop on Multi-Agent-Based Simulation (MABS 2009), a workshop co-located with the eighth overseas convention on independent brokers and Multiagent platforms (AAMAS 2009), which used to be hung on may perhaps 10-15, 2009 in Budapest, Hungary.

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Inheritance: agents may be provided with characteristics inherited by their parents (wealth, preferences, density tolerances). It might be presumed that such inheritance would produce convergent heterogeneity in the simulated results but mobility, mixing and the ability of agents to live anywhere in the city could be a counter-acting homogenizing force. By investigating this balance perhaps we may see how a metropolitan character emerges. For example, the real-life preference for Melbournians to live in detached housing has generated a spread out city.

Furthermore, the parameter of population size will be regarded as the proxy variable for traders’ cognitive ability. ” [1]. A series of simulations will be reported, and the results will be compared with what we have known about cognitive capacity from psychological studies. The remainder of this paper is organized as follows: Research questions will be elaborated in Section 2. Section 3 depicts the experimental design, including the market mechanism, trading strategies, and experiment settings.

Can genetic algorithms explain experimental anomalies? An application to common property resources. Computational Economics 24, 257–275 (2004) 10.

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