By Hideyuki Nakashima (auth.), Dickson Lukose, Zhongzhi Shi (eds.)

This booklet constitutes the completely refereed post-conference lawsuits of the eighth Pacific Rim overseas Workshop on Multi-Agents, PRIMA 2005, held in Kuala Lumpur, Malaysia, in September 2005.

The 29 revised complete papers and a couple of keynote papers provided have been rigorously reviewed and chosen from various submissions. The papers handle many present themes in multi-agent examine and improvement, starting from theoretical and methodological matters to varied functions in several fields.

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Extra resources for Multi-Agent Systems for Society: 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, Kuala Lumpur, Malaysia, September 26-28, 2005, Revised Selected Papers

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3. Average gain(p = 0, 1) Next, the Time-Space occupation of strategies is studied. Time-Space occupation (TSO) is defined as Eqn. (10). T SOi = 1 Tmax Tmax SOi (t) (10) t where Tmax is the maximum number of generations. In Fig. 4, TSO is on the vertical axis and the rank of strategy , ordered by TSO, is on the horizontal axis. The dominant strategy is located at the left side in the figure. However, dominant strategy here doesn’t mean the common “dominant strategy” in the game theory, but which TSO is highest in the simulation.

Intelligent agents [1] are computational software systems that have access to multiple, heterogeneous and geographically distributed information sources. Software agents have already proved their worth over the Web. Search engines, e-mail filtering agents, shop bots [2], and web crawlers are some widely used web agents that help in getting rid of the information explosion over the Web. An Intelligent Agent comprises of a set of independent software tools that are linked with other applications and database software running within a computing environment.

9). SOi (t) = Ni (t) n (9) where Ni (t) is the number of agents which have the gene of strategy i on the network at the generation t. It is observed that the cooperative strategies, such as Pavlov strategy in this example, tend to survive. This tendency can be also seen in other cases. Average gains in case of p = 0, 1 are shown in Fig. 3. The average gain falls from the initial value once, then rises and saturates at a point in both cases. At the minimum point, non-cooperative strategies are dominant in the generation.

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