A systemic payoff in a self-repairing network

A systemic payoff in a self-repairing network

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 was able to make the selfish agents cooperate with others. The systemic payoff is a payo...

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Veröffentlicht in:Artificial life and robotics 2012-02, Vol.16 (4), p.563-566
Hauptverfasser: Tokumitsu, Masahiro, Ishida, Yoshiteru
Format: Artikel
Sprache:eng
Schlagworte:
Artificial Intelligence
Autonomous
Computation by Abstract Devices
Computer networks
Computer Science
Control
Cooperation
Mechatronics
Multiagent systems
Networks
Original Article
Robotics
Simulation
Sums
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container_title Artificial life and robotics
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creator Tokumitsu, Masahiro
Ishida, Yoshiteru
description 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 was able to make the selfish agents cooperate with others. The systemic payoff is a payoff mechanism that sums up not only an agent’s own payoff, but also its neighborhood’s payoff. In the systemic payoff, the distance effect between the agents has not yet been studied. This article considers the systemic payoff that involves the distance effect among agents. We studied the effectiveness of the proposed mechanism for the network performance by multi-agent simulations.
doi_str_mv 10.1007/s10015-011-0991-z
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subjects Artificial Intelligence
Autonomous
Computation by Abstract Devices
Computer networks
Computer Science
Control
Cooperation
Mechatronics
Multiagent systems
Networks
Original Article
Robotics
Simulation
Sums
title A systemic payoff in a self-repairing network
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