Abstract
In this work we propose an agent based model where a fixed finite population of tagged agents play iteratively the Nash demand game in a regular lattice. This work extends the multiagent bargaining model by [1] including the spatial dimension in the game. Each agent is endowed with memory and plays the best reply against the opponent’s most frequent demand. The results show that all the possible persistent regimes of the global interaction game can also be obtained with this spatial version. Our preliminary analysis also suggests that the topological distribution of the agents can generate new persistent regimes within groups of agents with the same tag.
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Axtell, R.L., Epstein, J.M., Young, H.P.: The Emergence of Classes in a Multi-Agent Bargaining Model. In: Durlauf, S.N., Young, H.P. (eds.) Social Dynamics. MIT Press, Washington (2004)
Galán, J.M., Izquierdo, L.R., Izquierdo, S.S., et al.: Errors and artefacts in agent-based modelling. Journal of Artificial Societies and Social Simulation 12, 1 (2009)
Izquierdo, L.R., Galán, J.M., Santos, J.I., del Olmo, R.: Modelado de sistemas complejos mediante simulación basada en agentes y mediante dinámica de sistemas. EMPIRIA Revista de Metodología de Ciencias Sociales 16, 85–112 (2008)
López-Paredes, A., Hernández, C.: Agent-based modelling in Natural Resource Management. Insisoc, Madrid (2008)
Walker, D.C., Hill, G., Smallwood, R.H., Southgate, J.: Agent-based computational modelling of wounded epithelial cell monolayers. IEEE Transactions on Nanobioscience 3, 153–163 (2004)
Araúzo-Araúzo, J.A., Galán-Ordax, J.M., Pajares-Gutiérrez, J., López-Paredes, A.: Gestión eficiente de carteras de proyectos. Propuesta de un sistema inteligente de soporte a la decisión para oficinas técnicas y empresas consultoras. DYNA Ingeniería e Industria 84, 761–772 (2009)
Coleman, J.S.: Foundations of social theory. Belknap Press of Harvard University Press, Cambridge (1994)
Galan, J.M., Izquierdo, L.R.: Appearances Can Be Deceiving: Lessons Learned Re-Implementing Axelrod’s ‘Evolutionary Approach to Norms’. Journal of Artificial Societies and Social Simulation 8, 2 (2005)
Poza, D., Villafáñez, F.A., Pajares, J.: Impact of Tag Recognition in Economic Decisions. In: Hernandez, C., Posada, M., López-Paredes, A. (eds.) Artificial Economics. The Generative Method in Economics. Springer, Heidelberg (2009)
Izquierdo, L.R., Izquierdo, S.S., Galán, J.M., Santos, J.I.: Techniques to understand computer simulations: Markov chain analysis. Journal of Artificial Societies and Social Simulation 12, 6 (2009)
Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America 99, 7821–7826 (2002)
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Poza, D., Galán, J.M., Santos, J.I., López-Paredes, A. (2010). An Agent Based Model of the Nash Demand Game in Regular Lattices. In: Ortiz, Á., Franco, R.D., Gasquet, P.G. (eds) Balanced Automation Systems for Future Manufacturing Networks. BASYS 2010. IFIP Advances in Information and Communication Technology, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14341-0_28
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DOI: https://doi.org/10.1007/978-3-642-14341-0_28
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