A swarm based approach to adapt the structural dimension of agents' organizations

Detalhes bibliográficos
Autor(a) principal: Ferreira Jr,Paulo R.
Data de Publicação: 2005
Outros Autores: Oliveira,Denise de, Bazzan,Ana L. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Computer Society
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002005000200005
Resumo: One of the well studied issues in multi-agent systems is the standard action-selection problem where a goal task can be performed in different ways, by different agents. Also the sequence of these actions can influence the goal achievement or its quality. This class of problems has been tackled under different approaches. At the high-level coordination one, the specification of the organizational issues is crucial. However, in dynamic environments, agents must be able to adapt to the changing organizational goals, available resources, their relationships to the presence of another agents, and so on. This problem is a key one in multi-agent systems and relates to models of learning and adaptation, such as those observed among social insects. The present paper tackles the process of generating, adapting, and changing multi-agent organization dynamically at system runtime, using a swarm inspired approach. This approach is used here mainly for task allocation with low need of pre-planning and specification, and no need of explicit coordination. The results of our approach and another quantitative one are compared here and it is shown that in dynamic domains, the agents adapt to changes in the organization, just as social insects do.
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spelling A swarm based approach to adapt the structural dimension of agents' organizationsMultiagent organizationAdaptation and learning in multiagent systemsSwarm intelligenceSelf-organizationOne of the well studied issues in multi-agent systems is the standard action-selection problem where a goal task can be performed in different ways, by different agents. Also the sequence of these actions can influence the goal achievement or its quality. This class of problems has been tackled under different approaches. At the high-level coordination one, the specification of the organizational issues is crucial. However, in dynamic environments, agents must be able to adapt to the changing organizational goals, available resources, their relationships to the presence of another agents, and so on. This problem is a key one in multi-agent systems and relates to models of learning and adaptation, such as those observed among social insects. The present paper tackles the process of generating, adapting, and changing multi-agent organization dynamically at system runtime, using a swarm inspired approach. This approach is used here mainly for task allocation with low need of pre-planning and specification, and no need of explicit coordination. The results of our approach and another quantitative one are compared here and it is shown that in dynamic domains, the agents adapt to changes in the organization, just as social insects do.Sociedade Brasileira de Computação2005-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002005000200005Journal of the Brazilian Computer Society v.11 n.1 2005reponame:Journal of the Brazilian Computer Societyinstname:Sociedade Brasileira de Computação (SBC)instacron:UFRGS10.1590/S0104-65002005000200005info:eu-repo/semantics/openAccessFerreira Jr,Paulo R.Oliveira,Denise deBazzan,Ana L. C.eng2010-12-01T00:00:00Zoai:scielo:S0104-65002005000200005Revistahttps://journal-bcs.springeropen.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpjbcs@icmc.sc.usp.br1678-48040104-6500opendoar:2010-12-01T00:00Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)false
dc.title.none.fl_str_mv A swarm based approach to adapt the structural dimension of agents' organizations
title A swarm based approach to adapt the structural dimension of agents' organizations
spellingShingle A swarm based approach to adapt the structural dimension of agents' organizations
Ferreira Jr,Paulo R.
Multiagent organization
Adaptation and learning in multiagent systems
Swarm intelligence
Self-organization
title_short A swarm based approach to adapt the structural dimension of agents' organizations
title_full A swarm based approach to adapt the structural dimension of agents' organizations
title_fullStr A swarm based approach to adapt the structural dimension of agents' organizations
title_full_unstemmed A swarm based approach to adapt the structural dimension of agents' organizations
title_sort A swarm based approach to adapt the structural dimension of agents' organizations
author Ferreira Jr,Paulo R.
author_facet Ferreira Jr,Paulo R.
Oliveira,Denise de
Bazzan,Ana L. C.
author_role author
author2 Oliveira,Denise de
Bazzan,Ana L. C.
author2_role author
author
dc.contributor.author.fl_str_mv Ferreira Jr,Paulo R.
Oliveira,Denise de
Bazzan,Ana L. C.
dc.subject.por.fl_str_mv Multiagent organization
Adaptation and learning in multiagent systems
Swarm intelligence
Self-organization
topic Multiagent organization
Adaptation and learning in multiagent systems
Swarm intelligence
Self-organization
description One of the well studied issues in multi-agent systems is the standard action-selection problem where a goal task can be performed in different ways, by different agents. Also the sequence of these actions can influence the goal achievement or its quality. This class of problems has been tackled under different approaches. At the high-level coordination one, the specification of the organizational issues is crucial. However, in dynamic environments, agents must be able to adapt to the changing organizational goals, available resources, their relationships to the presence of another agents, and so on. This problem is a key one in multi-agent systems and relates to models of learning and adaptation, such as those observed among social insects. The present paper tackles the process of generating, adapting, and changing multi-agent organization dynamically at system runtime, using a swarm inspired approach. This approach is used here mainly for task allocation with low need of pre-planning and specification, and no need of explicit coordination. The results of our approach and another quantitative one are compared here and it is shown that in dynamic domains, the agents adapt to changes in the organization, just as social insects do.
publishDate 2005
dc.date.none.fl_str_mv 2005-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002005000200005
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-65002005000200005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Computação
publisher.none.fl_str_mv Sociedade Brasileira de Computação
dc.source.none.fl_str_mv Journal of the Brazilian Computer Society v.11 n.1 2005
reponame:Journal of the Brazilian Computer Society
instname:Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
instname_str Sociedade Brasileira de Computação (SBC)
instacron_str UFRGS
institution UFRGS
reponame_str Journal of the Brazilian Computer Society
collection Journal of the Brazilian Computer Society
repository.name.fl_str_mv Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)
repository.mail.fl_str_mv jbcs@icmc.sc.usp.br
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