Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Journal of the ACM (JACM)
Altruism, selfishness, and spite in traffic routing
Proceedings of the 9th ACM conference on Electronic commerce
Asymmetric Interactions between Cooperators and Defectors for Controlling Self-repairing
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
A critical phenomenon in a self-repair network by mutual copying
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Computer Science Review
Spatial distribution of connection weight in self-repairing network
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
A strategy distribution of a self-repairing network in dynamic environments
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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Cooperation among agents is a crucial problem in autonomous distributed systems composed of selfish agents pursuing their own profits. An earlier study of a self-repairing network revealed that a systemic payoff made the selfish agents cooperate with other agents and was similar to kin selection. We study the relationship between the systemic payoff and kin selection more deeply. This paper considers the systemic payoff that involves a connection weight representing strength of relationship among the agents. We found that the performance of the self-repairing network changes by varying the connection weight. The connection weight appropriate to the environments would elicit the good performance of the self-repairing network. This paper proposes an adaptive control technique for the connection weight among the agents in the systemic payoff. The technique changes the connection weight dynamically. In simulations, the proposed technique showed the good performance in the dynamic environments.