Towards a guide for engineering the collective behaviour of a MAS

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Title: Towards a guide for engineering the collective behaviour of a MAS
Authors: Bonjean, Noélie Noelie.Bonjean@irit.fr, Bernon, Carole1 Carole.Bernon@irit.fr, Glize, Pierre1 Pierre.Glize@irit.fr
Source: Simulation Modelling Practice & Theory. Nov2010, Vol. 18 Issue 10, p1506-1514. 9p.
Subjects: Multiagent systems, MAS (Computer system), Feasibility studies, Computer simulation, Computer networks, Cancer cells
Abstract: Abstract: The objective of the work undertaken here is to endow an agent-oriented methodology with a semi-automatic tool for helping designers when drawing up the agents composing an adaptive multi-agent system (AMAS). This tool acts as a guide for enabling designers to influence the emergent global behaviour of an AMAS by acting on the local behaviour of its cooperative agents. The preliminary approach proposed in this article can be seen as a feasibility study aiming at developing a textual guide by considering the principles of the AMAS theory. Simulation of the behaviour of healthy and cancerous cells is used as a base for this study. [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.)
Database: Engineering Source
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DbLabel: Engineering Source
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  Data: Towards a guide for engineering the collective behaviour of a MAS
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  Data: <searchLink fieldCode="AR" term="%22Bonjean%2C+Noélie%22">Bonjean, Noélie</searchLink><i> Noelie.Bonjean@irit.fr</i><br /><searchLink fieldCode="AR" term="%22Bernon%2C+Carole%22">Bernon, Carole</searchLink><relatesTo>1</relatesTo><i> Carole.Bernon@irit.fr</i><br /><searchLink fieldCode="AR" term="%22Glize%2C+Pierre%22">Glize, Pierre</searchLink><relatesTo>1</relatesTo><i> Pierre.Glize@irit.fr</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, p1506-1514. 9p.
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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="%22Feasibility+studies%22">Feasibility studies</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+networks%22">Computer networks</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+cells%22">Cancer cells</searchLink>
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  Data: Abstract: The objective of the work undertaken here is to endow an agent-oriented methodology with a semi-automatic tool for helping designers when drawing up the agents composing an adaptive multi-agent system (AMAS). This tool acts as a guide for enabling designers to influence the emergent global behaviour of an AMAS by acting on the local behaviour of its cooperative agents. The preliminary approach proposed in this article can be seen as a feasibility study aiming at developing a textual guide by considering the principles of the AMAS theory. Simulation of the behaviour of healthy and cancerous cells is used as a base for this study. [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.2010.05.001
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        Text: English
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        PageCount: 9
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    Subjects:
      – SubjectFull: Multiagent systems
        Type: general
      – SubjectFull: MAS (Computer system)
        Type: general
      – SubjectFull: Feasibility studies
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      – SubjectFull: Computer simulation
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      – SubjectFull: Computer networks
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      – SubjectFull: Cancer cells
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      – TitleFull: Towards a guide for engineering the collective behaviour of a MAS
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              Text: Nov2010
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