KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
An adaptive control technique for a connection weight of agents in a self-repairing network
IWSOS'11 Proceedings of the 5th international conference on Self-organizing systems
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
Immunity-based systems revisited: toward systems science for robust and adaptive engineering
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Adaptive strategies: toward a design of adaptive systems for dynamic environments
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A systemic payoff in a self-repairing network
Artificial Life and Robotics
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In an information network composed of selfish agents pursuing their own profits, undesirable phenomena such as spam mail occur if the profit sharing and other game structures permit such equilibriums. This note focuses on applying the spatial Prisoner's Dilemma to control a network of selfish agents by allowing each agent to cooperate or to defect. Cooperation and defection respectively correspond to repair (using the self resource) and not repair (thus saving the resource) in a self-repair network. Without modifying the payoff, the network will be absorbed into the state where all the agents become defectors and abnormal. Similarly to kin selection, agents favor survival of neighbors in organizing these two actions to prevent the network from being absorbed if payoffs are measured by summing all the neighboring agents. Even with this modification, the action organization exhibits spatial and temporal adaptability to the environment.