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<mods:namePart>Poza, David J.</mods:namePart>
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<mods:namePart>Santos Martín, José Ignacio</mods:namePart>
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<mods:namePart>Galán Ordax, José Manuel</mods:namePart>
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<mods:namePart>López Paredes, Adolfo</mods:namePart>
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<mods:abstract>The effect of spatial structure has been proved very relevant in repeated games. In this work we propose an agent based&#xd;
model where a fixed finite population of tagged agents play iteratively the Nash demand game in a regular lattice. The&#xd;
model extends the multiagent bargaining model by Axtell, Epstein and Young [1] modifying the assumption of global&#xd;
interaction. Each agent is endowed with a memory and plays the best reply against the opponent’s most frequent demand.&#xd;
We focus our analysis on the transient dynamics of the system, studying by computer simulation the set of states in which&#xd;
the system spends a considerable fraction of the time. The results show that all the possible persistent regimes in the global&#xd;
interaction model can also be observed in this spatial version. We also find that the mesoscopic properties of the interaction&#xd;
networks that the spatial distribution induces in the model have a significant impact on the diffusion of strategies, and can&#xd;
lead to new persistent regimes different from those found in previous research. In particular, community structure in the&#xd;
intratype interaction networks may cause that communities reach different persistent regimes as a consequence of the&#xd;
hindering diffusion effect of fluctuating agents at their borders.</mods:abstract>
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<mods:titleInfo>
<mods:title>Mesoscopic effects in an agent-based bargaining model in regular lattices</mods:title>
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