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Agent-based modeling/simulation is an rising box that makes use of bottom-up and experimental research within the social sciences. chosen examine from that awarded on the 3rd overseas Workshop on Agent-Based methods in financial and Social complicated platforms 2004, held in may possibly 2004 in Kyoto, Japan, is integrated during this e-book. the purpose of the workshop was once to hire the bottom-up method of social and fiscal difficulties by way of modeling, simulation, and research utilizing a software program agent. This learn quarter is an rising interdisciplinary box one of the social sciences and computing device technology, attracting large consciousness since it introduces a simulation-based experimental method of difficulties which are changing into more and more advanced in an period of globalization and innovation in info expertise. The cutting-edge learn and findings provided during this e-book can be vital instruments for an individual fascinated about this swiftly turning out to be discipline.
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Extra resources for Agent-Based Simulation: From Modeling Methodologies to Real-World Applications: Post-Proceedings of the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004
Bonabeau, E. (2002) Agent-based modeling: methods and techniques for simulating human systems, Proc. Nat. Acad. Sei. , Moresi, L. 2001. Interactive inversion in geosciences. Geophysics 66, 1226-1234. , Marsili, M. -C. (1997) A prototype model of stock exchange. Europhys. Lett. 40, 479-484 Dawkins. R. 1987. The Blind Watchmaker. W. W. Norton, New York. Epstein J. , Axtell R. L. (1996) Growing artificial societies: social science from the bottom up (MIT Press, Cambridge, MA). D. (1999) Physicists attempt to scale the ivory towers of finance.
Rensnick et al. (2000) pointed out that using reputation information was one of the best ways to promote mutual trust between participants. Dellarocas (2000) discussed the robustness of reputation systems against unfair evaluations by maUcious participants. Kollock (1999) provided a classification of positive and negative aspects concerning reputation information. Based on this classification, we will develop a model to analyze reputation management systems operationally. By employing an operational model, we can identify the conditions in which the reputation management system works efficiently.
The profits of the seller and the buyer are found by consulting the prisoner's dilemma pay-off matrix. 8. A new participant enters the market every turn. 9. The new participant copies the strategy of the participant who has the highest current profit. Under these circumstances, if there is no system to promote cooperation, a participant who does not always cooperate could exploit a participant who always cooperates with everyone. To promote cooperation, one can embed a reputation information management system into the C2C online transaction.