Model driven development and simulations with the INGENIAS agent framework

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Title: Model driven development and simulations with the INGENIAS agent framework
Authors: Gómez-Sanz, Jorge J. jjgomez@fdi.ucm.es, Fernández, Carlos R.1 carlosro@fdi.ucm.es, Arroyo, Javier1 javier.arroyo@fdi.ucm.es
Source: Simulation Modelling Practice & Theory. Nov2010, Vol. 18 Issue 10, p1468-1482. 15p.
Subjects: Multiagent systems, MAS (Computer system), Computer simulation, Sesame, Intelligent agents, Simulation methods & models
Abstract: Abstract: The development of MAS can be facilitated with the introduction of simulations into the development process. The integration of simulations has been addressed by some agent oriented methodologies, generally defining mappings from the original Multi-Agent specification to concrete simulators like Repast or Sesame. This paper contributes with a deeper integration where the methodology becomes a generator of ad hoc simulators for the MAS under development. This is possible with the aid of Model Driven Engineering principles which derives executable Multi-Agent Systems automatically from a Multi-Agent System specification. [ABSTRACT FROM AUTHOR]
Copyright of Simulation Modelling Practice & Theory is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 52876758
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  Data: Model driven development and simulations with the INGENIAS agent framework
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  Data: <searchLink fieldCode="AR" term="%22Gómez-Sanz%2C+Jorge+J%2E%22">Gómez-Sanz, Jorge J.</searchLink><i> jjgomez@fdi.ucm.es</i><br /><searchLink fieldCode="AR" term="%22Fernández%2C+Carlos+R%2E%22">Fernández, Carlos R.</searchLink><relatesTo>1</relatesTo><i> carlosro@fdi.ucm.es</i><br /><searchLink fieldCode="AR" term="%22Arroyo%2C+Javier%22">Arroyo, Javier</searchLink><relatesTo>1</relatesTo><i> javier.arroyo@fdi.ucm.es</i>
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  Data: <searchLink fieldCode="JN" term="%22Simulation+Modelling+Practice+%26+Theory%22">Simulation Modelling Practice & Theory</searchLink>. Nov2010, Vol. 18 Issue 10, p1468-1482. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22MAS+%28Computer+system%29%22">MAS (Computer system)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Sesame%22">Sesame</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+agents%22">Intelligent agents</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink>
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  Data: Abstract: The development of MAS can be facilitated with the introduction of simulations into the development process. The integration of simulations has been addressed by some agent oriented methodologies, generally defining mappings from the original Multi-Agent specification to concrete simulators like Repast or Sesame. This paper contributes with a deeper integration where the methodology becomes a generator of ad hoc simulators for the MAS under development. This is possible with the aid of Model Driven Engineering principles which derives executable Multi-Agent Systems automatically from a Multi-Agent System specification. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Simulation Modelling Practice & Theory is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.simpat.2010.05.012
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        Text: English
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        Type: general
      – SubjectFull: MAS (Computer system)
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Sesame
        Type: general
      – SubjectFull: Intelligent agents
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      – SubjectFull: Simulation methods & models
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      – TitleFull: Model driven development and simulations with the INGENIAS agent framework
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              Text: Nov2010
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              Y: 2010
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