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
Os efeitos em larga escala de agentes que interagem localmente são chamados de propriedades emergentes do sistema. As propriedades emergentes são muitas vezes surpreendentes porque pode ser difícil prever todas as consequências, mesmo de formas simples de interação. Neste artigo abordamos as seguintes questões: como é que os agentes heterogéneos geram coordenação emergente e como é que gerem e auto-organizam ordens macroscópicas de baixo para cima, sem qualquer autoridade central? Estas questões dependerão crucialmente da forma como interagem e adaptam o seu comportamento. Os agentes evoluem miopicamente seu comportamento com base nas regras de limiar, que são obtidas como funções do comportamento coletivo e suas utilidades idiossincráticas. Obtemos a dinâmica micro-macro que relaciona o comportamento agregado com o comportamento individual subjacente. Mostramos que o comportamento racional dos agentes combinado com o comportamento de outros produz um comportamento macro estável e, às vezes, um comportamento cíclico imprevisto. Consideramos também os papéis dos conformistas e dos não-conformistas na gestão do comportamento macro emergente. Como exemplo específico, abordamos uma abordagem emergente e evolutiva para projetar roteamentos de rede eficientes.
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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},}
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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 -