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A values‐driven self‐organization mechanism for automating multiagent coordination.

Authors :
Jiao, Wenpin
Sun, Yanchun
Source :
Computational Intelligence; May2018, Vol. 34 Issue 2, p635-678, 44p
Publication Year :
2018

Abstract

Abstract: In distributed and open environments, MASs (multiagent systems) generally have no mechanisms for prior coordination and self‐organization has been believed to be the necessary selection to achieve the coordination of agents. This paper first presents a values‐driven model for self‐organization in which the expected emergent properties of a system are specified as the social values while the social values are realized via implicitly inducing members to regulate their individual values and adjust their behaviors to fit the expectations of the system. Based on the values‐driven self‐organization, this paper proposes an automated coordination mechanism for decentralized MASs. In this mechanism, by indirectly changing the difficulties in acquiring resources (which may be delegated to some special agents since MASs generally do not have substantial bodies), MASs can lead agents to regulate their values to be consistent with the social values of MASs so that the coordination of MASs can spontaneously emerge from the local behaviors of agents. Finally, this paper implements a simulation traffic system using the coordination mechanism based on values‐driven self‐organization to validate the emergence of coordination among multiple agents. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08247935
Volume :
34
Issue :
2
Database :
Complementary Index
Journal :
Computational Intelligence
Publication Type :
Academic Journal
Accession number :
129573362
Full Text :
https://doi.org/10.1111/coin.12168