Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
The micro-macro link in DAI and sociology
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Emerging cooperation in a public goods game with competition
Proceedings of the 2008 ACM symposium on Applied computing
Simulating the effects of sanctioning for the emergence of cooperation in a public goods game
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
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We consider a simple model for a society of economic agents, where each can invest a discrete quantity. Interactions among agents happen in a neighborhood and depend on the motivation level (insider information, economy prospects, etc.). The profit of the group fluctuates stochastically and is used to update individual motivations. We analyze the behavior, as a function of time, of the global persistence, given the initial quantity of money invested. Our simulations show that this quantity -- a measure of the probability that the amount of money of the entire group remains at least equal to the initial amount -- has a power law updating behavior. We have also performed simulations with heterogeneous agents, including deceiver and conservative agents. We show that, although there is no regular pattern regarding the average wealth, robust power laws for persistence exist, indicating that this can be used to model the emerging collective behavior. Besides, the updating of motivation and the presence of conservatives and deceivers is remarkable and has an influence on the persistence.