Título: | A METHOD AND A FRAMEWORK FOR EMPIRICAL PLANNING OF SELF-ORGANIZING SYSTEMS | ||||||||||||||||||||||||||||||||||||||||
Autor: |
BRUNO DE CASTRO BAHIA ALVARENGA SOARES |
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Colaborador(es): |
CARLOS JOSE PEREIRA DE LUCENA - Orientador |
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Catalogação: | 19/MAR/2010 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||||||||||||||||||||||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=15403&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=15403&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.15403 | ||||||||||||||||||||||||||||||||||||||||
Resumo: | |||||||||||||||||||||||||||||||||||||||||
Software architects have been recently adopting self-organizing strategies
to design dynamic and adaptive decentralized systems capable of executing
without interference from the user, from the administrator or from other
systems. This self-organization process usually results in unpredicted emergent
behaviors resulting from the interaction between the agents. Emergent
behaviors can be beneficial or harmful to the system execution and organization.
Because of this, multiagent systems will only be adopted into domains
that involve risk - like industries, hospitals, military equipments, etc. - if
one can guarantee that it will be able to fulfill its design goals. However, it
is not easy to guarantee this, since it is impossible to map all the possible
behaviors of a system modeled through agent interaction. Some approaches
have already been proposed, but their use is usually extremely complex. Therefore,
this work presents a new method for the experimental verification of
self-organizing multiagent systems, evolving the empiric verification technique
proposed by Kevrekidis and complementing it through an autonomic approach
linked to the simplicity of the verification through online planners. As a
result, a framework for designing, verifying and simulating multiagent systems
is presented.
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