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
Sistemas compostos por múltiplos agentes móveis interativos fornecem um paradigma alternativo de computação em rede que integra acesso remoto a dados, troca de mensagens e migração; que até agora foram em grande parte considerados de forma independente. Superficialmente, o projeto de sistemas distribuídos poderia ser auxiliado por uma especificação completa dos diferentes padrões de interação; no entanto, o número de projetos possíveis em qualquer sistema de grande escala sofre uma explosão combinatória. Como consequência, este artigo concentra-se nas interações básicas entre agentes, ou paradigmas, que podem ser usados como blocos de construção; permitindo que características e desempenho maiores do sistema sejam compreendidos em termos de sua combinação. Este artigo define três paradigmas básicos de agentes e apresenta modelos de desempenho associados. Os paradigmas são avaliados quantitativamente em termos de tráfego de rede, tempo total de processamento e tamanho de memória utilizada, no contexto de um sistema de BD distribuído desenvolvido utilizando o Bee-gent Agent Framework. A comparação dos resultados e modelos ilustra o trade-off de desempenho para cada paradigma, que não está representado nos modelos, e alguns problemas de implementação de estruturas de agentes. O artigo termina com um estudo de caso de como selecionar um paradigma apropriado.
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Takahiro KAWAMURA, Sam JOSEPH, Akihiko OHSUGA, Shinichi HONIDEN, "Designing Multi-Agent Systems Based on Pairwise Agent Interactions" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 8, pp. 968-980, August 2001, doi: .
Abstract: Systems comprised of multiple interacting mobile agents provide an alternate network computing paradigm that integrates remote data access, message exchange and migration; which up until now have largely been considered independently. On the surface distributed systems design could be helped by a complete specification of the different interaction patterns, however the number of possible designs in any large scale system undergoes a combinatorial explosion. As a consequence this paper focuses on basic one-to-one agent interactions, or paradigms, which can be used as building blocks; allowing larger system characteristics and performance to be understood in terms of their combination. This paper defines three basic agent paradigms and presents associated performance models. The paradigms are evaluated quantitatively in terms of network traffic, overall processing time and size of memory used, in the context of a distributed DB system developed using the Bee-gent Agent Framework. Comparison of the results and models illustrates the performance trade-off for each paradigm, which are not represented in the models, and some implementation issues of agent frameworks. The paper ends with a case study of how to select an appropriate paradigm.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_8_968/_p
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@ARTICLE{e84-d_8_968,
author={Takahiro KAWAMURA, Sam JOSEPH, Akihiko OHSUGA, Shinichi HONIDEN, },
journal={IEICE TRANSACTIONS on Information},
title={Designing Multi-Agent Systems Based on Pairwise Agent Interactions},
year={2001},
volume={E84-D},
number={8},
pages={968-980},
abstract={Systems comprised of multiple interacting mobile agents provide an alternate network computing paradigm that integrates remote data access, message exchange and migration; which up until now have largely been considered independently. On the surface distributed systems design could be helped by a complete specification of the different interaction patterns, however the number of possible designs in any large scale system undergoes a combinatorial explosion. As a consequence this paper focuses on basic one-to-one agent interactions, or paradigms, which can be used as building blocks; allowing larger system characteristics and performance to be understood in terms of their combination. This paper defines three basic agent paradigms and presents associated performance models. The paradigms are evaluated quantitatively in terms of network traffic, overall processing time and size of memory used, in the context of a distributed DB system developed using the Bee-gent Agent Framework. Comparison of the results and models illustrates the performance trade-off for each paradigm, which are not represented in the models, and some implementation issues of agent frameworks. The paper ends with a case study of how to select an appropriate paradigm.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Designing Multi-Agent Systems Based on Pairwise Agent Interactions
T2 - IEICE TRANSACTIONS on Information
SP - 968
EP - 980
AU - Takahiro KAWAMURA
AU - Sam JOSEPH
AU - Akihiko OHSUGA
AU - Shinichi HONIDEN
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2001
AB - Systems comprised of multiple interacting mobile agents provide an alternate network computing paradigm that integrates remote data access, message exchange and migration; which up until now have largely been considered independently. On the surface distributed systems design could be helped by a complete specification of the different interaction patterns, however the number of possible designs in any large scale system undergoes a combinatorial explosion. As a consequence this paper focuses on basic one-to-one agent interactions, or paradigms, which can be used as building blocks; allowing larger system characteristics and performance to be understood in terms of their combination. This paper defines three basic agent paradigms and presents associated performance models. The paradigms are evaluated quantitatively in terms of network traffic, overall processing time and size of memory used, in the context of a distributed DB system developed using the Bee-gent Agent Framework. Comparison of the results and models illustrates the performance trade-off for each paradigm, which are not represented in the models, and some implementation issues of agent frameworks. The paper ends with a case study of how to select an appropriate paradigm.
ER -