Selecting frameworks for multi-agent systems development for the oil industry
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| Format: | Artículo científico |
| Language: | en |
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Universidad de las Ciencias Informáticas
2015
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| _version_ | 1876481732785471488 |
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| author | J. Antão B. Moura |
| author_facet | J. Antão B. Moura |
| contents | Selecting frameworks for multi-agent systems development for the oil industry J. Antão B. Moura Pryscilla Dóra Ana Cristina Oliveira Computación Multi MAS Benchmark Evaluation Methodology agent Systems Framework Throughout the years, the development of multi - agent systems (MAS) has evolved and many frameworks to support such development were proposed in the literature. Some frameworks did not advance; others have evolved according to the type of usage in either academy or industry. Given the large number of fr ameworks for developing multi - agent systems, it is important to evaluate these frameworks in order to select which one best suits the development project at hand. There seems to be scanty information and recommendations in the specialized bibliography on d evelopment frameworks for MAS to be used in support of supply chain management (SCM) by the petroleum industry in particular. We present in this work a methodology for comparing and choosing frameworks to be used for developing MAS for the oil industry. Th e methodology includes theoretical and practical aspects. Application of the methodology is carried out in a real case, supply chain management scenario offered by Petrobrás, the Brazilian petroleum company, in automating its planning for draining petroleu m products. 2015 artículo científico 1994-1536 https://www.redalyc.org/articulo.oa?id=378343681007 en http://www.redalyc.org/revista.oa?id=3783 Revista Cubana de Ciencias Informáticas application/pdf Universidad de las Ciencias Informáticas Revista Cubana de Ciencias Informáticas (Cuba) Num.1 Vol.9 |
| format | Artículo científico |
| id | redalyc_378343681007 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad de las Ciencias Informáticas |
| spellingShingle | Selecting frameworks for multi-agent systems development for the oil industry J. Antão B. Moura Computación Multi MAS Benchmark Evaluation Methodology agent Systems Framework Selecting frameworks for multi-agent systems development for the oil industry J. Antão B. Moura Pryscilla Dóra Ana Cristina Oliveira Computación Multi MAS Benchmark Evaluation Methodology agent Systems Framework Throughout the years, the development of multi - agent systems (MAS) has evolved and many frameworks to support such development were proposed in the literature. Some frameworks did not advance; others have evolved according to the type of usage in either academy or industry. Given the large number of fr ameworks for developing multi - agent systems, it is important to evaluate these frameworks in order to select which one best suits the development project at hand. There seems to be scanty information and recommendations in the specialized bibliography on d evelopment frameworks for MAS to be used in support of supply chain management (SCM) by the petroleum industry in particular. We present in this work a methodology for comparing and choosing frameworks to be used for developing MAS for the oil industry. Th e methodology includes theoretical and practical aspects. Application of the methodology is carried out in a real case, supply chain management scenario offered by Petrobrás, the Brazilian petroleum company, in automating its planning for draining petroleu m products. 2015 artículo científico 1994-1536 https://www.redalyc.org/articulo.oa?id=378343681007 en http://www.redalyc.org/revista.oa?id=3783 Revista Cubana de Ciencias Informáticas application/pdf Universidad de las Ciencias Informáticas Revista Cubana de Ciencias Informáticas (Cuba) Num.1 Vol.9 |
| title | Selecting frameworks for multi-agent systems development for the oil industry |
| topic | Computación Multi MAS Benchmark Evaluation Methodology agent Systems Framework |
| url | https://www.redalyc.org/articulo.oa?id=378343681007 |