The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Les effets à grande échelle des agents interagissant localement sont appelés propriétés émergentes du système. Les propriétés émergentes sont souvent surprenantes car il peut être difficile d’anticiper toutes les conséquences de formes d’interaction, même simples. Dans cet article, nous abordons les questions suivantes : comment des agents hétérogènes génèrent-ils une coordination émergente, et comment gèrent-ils et auto-organisent-ils des ordres macroscopiques de bas en haut sans aucune autorité centrale ? Ces questions dépendront essentiellement de la manière dont ils interagissent et adaptent leur comportement. Les agents font évoluer leur comportement de manière myope en fonction des règles de seuil, qui sont obtenues en fonction du comportement collectif et de leurs utilités idiosyncratiques. Nous obtenons la dynamique micro-macro qui relie le comportement global au comportement individuel sous-jacent. Nous montrons que le comportement rationnel des agents combiné à celui des autres produit un comportement macroéconomique stable, et parfois un comportement cyclique imprévu. Nous considérons également les rôles des conformistes et des non-conformistes dans la gestion des comportements macro émergents. À titre d'exemple spécifique, nous abordons une approche émergente et évolutive pour concevoir des routages de réseau efficaces.
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Saori IWANAGA, Akira NAMATAME, "Asymmetric Coordination of Heterogeneous Agents" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 8, pp. 937-944, August 2001, doi: .
Abstract: Large-scale effects of locally interacting agents are called emergent properties of the system. Emergent properties are often surprising because they can be hard to anticipate the full consequences of even simple forms of interaction. In this paper we address the following questions: how do heterogeneous agents generate emergent coordination, and how do they manage and self-organize macroscopic orders from bottom up without any central authority? These questions will depend crucially on how they interact and adapt their behavior. Agents myopically evolve their behavior based on the threshold rules, which are obtained as the functions of the collective behavior and their idiosyncratic utilities. We obtain the micro-macro dynamics that relate the aggregate behavior with the underlying individual behavior. We show agents' rational behavior combined with the behavior of others produce stable macro behavior, and sometimes unanticipated cyclic behavior. We also consider the roles of conformists and nonconformists to manage emergent macro behavior. As a specific example, we address an emergent and evolutionary approach for designing the efficient network routings.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_8_937/_p
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@ARTICLE{e84-d_8_937,
author={Saori IWANAGA, Akira NAMATAME, },
journal={IEICE TRANSACTIONS on Information},
title={Asymmetric Coordination of Heterogeneous Agents},
year={2001},
volume={E84-D},
number={8},
pages={937-944},
abstract={Large-scale effects of locally interacting agents are called emergent properties of the system. Emergent properties are often surprising because they can be hard to anticipate the full consequences of even simple forms of interaction. In this paper we address the following questions: how do heterogeneous agents generate emergent coordination, and how do they manage and self-organize macroscopic orders from bottom up without any central authority? These questions will depend crucially on how they interact and adapt their behavior. Agents myopically evolve their behavior based on the threshold rules, which are obtained as the functions of the collective behavior and their idiosyncratic utilities. We obtain the micro-macro dynamics that relate the aggregate behavior with the underlying individual behavior. We show agents' rational behavior combined with the behavior of others produce stable macro behavior, and sometimes unanticipated cyclic behavior. We also consider the roles of conformists and nonconformists to manage emergent macro behavior. As a specific example, we address an emergent and evolutionary approach for designing the efficient network routings.},
keywords={},
doi={},
ISSN={},
month={August},}
Copier
TY - JOUR
TI - Asymmetric Coordination of Heterogeneous Agents
T2 - IEICE TRANSACTIONS on Information
SP - 937
EP - 944
AU - Saori IWANAGA
AU - Akira NAMATAME
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2001
AB - Large-scale effects of locally interacting agents are called emergent properties of the system. Emergent properties are often surprising because they can be hard to anticipate the full consequences of even simple forms of interaction. In this paper we address the following questions: how do heterogeneous agents generate emergent coordination, and how do they manage and self-organize macroscopic orders from bottom up without any central authority? These questions will depend crucially on how they interact and adapt their behavior. Agents myopically evolve their behavior based on the threshold rules, which are obtained as the functions of the collective behavior and their idiosyncratic utilities. We obtain the micro-macro dynamics that relate the aggregate behavior with the underlying individual behavior. We show agents' rational behavior combined with the behavior of others produce stable macro behavior, and sometimes unanticipated cyclic behavior. We also consider the roles of conformists and nonconformists to manage emergent macro behavior. As a specific example, we address an emergent and evolutionary approach for designing the efficient network routings.
ER -