Bibliographie

Linking Micro and Macro Description of Scalable Social Systems using Reference Nets

Michael Köhler, Daniel Moldt, Heiko Rölke, and Rüdiger Valk.
Linking micro and macro description of scalable social systems using reference nets.
In Klaus Fischer, Michael Florian, and Thomas Malsch, editors, Socionics: Sociability of Complex Social Systems, volume 3413 of Lecture Notes in Artificial Intelligence, pages 51-67. Springer-Verlag, 2005.  [link]

Abrégé: Socionics attempts to release the architecture of multi-agent systems from the restrictive micro perspective viewpoint by the integration of the macro perspective in order to arrive at innovative agent systems. This paper shows how central research topics of sociology and computer science can be combined, in order to arrive at innovative agent systems. In the context of sociology the duality of micro and macro elements is relevant, while recursiveness of models appears in the perspective of computer science. These two elements are unified in our work to the socionic multi-agent architecture SONAR.
The formal model, on which the representation bases, is the recursive formalism of reference nets - an extension of Petri nets, that permits to understand nets again as tokens. With the help of these nets first of all a compact implementation of the multi-agent architecture MULAN is designed, secondly it serves as a description language for the sociological model, which is the fundament of SONAR. The main result here is to present an architecture based on MULAN and SONAR allowing to cover the micro as well as the macro perspective in agent-oriented modelling. Doing so, we introduce a scalable model based on agent systems.

BibTeX enregistrement

@InProceedings{Koehler+05,
   author =  {K{\"o}hler, Michael and Moldt, Daniel and R{\"o}lke, Heiko and Valk, R{\"u}diger},
   title =  {Linking Micro and Macro Description of Scalable Social Systems using Reference Nets},
   booktitle = {Socionics: Sociability of Complex Social Systems},
  year =  2005,
  editor =  {Fischer, Klaus and Florian, Michael and Malsch, Thomas},
  volume = {3413},
   pages  = {51--67},
  series = LNAI,
  publisher = Springer,
  url = {http://dx.doi.org/10.1007/11594116_4},
  abstract = {  Socionics attempts to release the architecture of multi-agent systems
  from the restrictive micro perspective viewpoint by the integration of
  the macro perspective in order to arrive at innovative agent systems.
  This paper shows how central research topics of sociology and computer
  science can be combined, in order to arrive at innovative agent systems.
  In the context of sociology the duality of micro and macro elements is
  relevant, while recursiveness of models appears in the perspective of
  computer science.  These two elements are unified in our work to the
  socionic multi-agent architecture SONAR.
  \par
  The formal model, on which the representation bases, is the recursive
  formalism of reference nets - an extension of Petri nets, that permits to
  understand nets again as tokens.  With the help of these nets first of
  all a compact implementation of the multi-agent architecture MULAN is
  designed, secondly it serves as a description language for the
  sociological model, which is the fundament of SONAR.
  The main result here is to present an architecture based on MULAN and
  SONAR allowing to cover the micro as well as the macro perspective in
  agent-oriented modelling. Doing so, we introduce a scalable model based
  on agent systems.}
}

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