Heterogeneous Agents Situated in Heterogeneous Spaces

This paper introduces the Multi-layered Multi-Agent Situated System model (MMASS), a model for Multi-Agent Systems (MAS) situated in an environment. The main feature of the MMASS model is to give an explicit definition of the spatial structure of the environment in which the system of situated agents are acting and interacting. Moreover, the presented model allows the representation of the heterogeneity that characterizes both agent types and interactions, and the spatial structures of the environment in which they are situated. The MMASS model allows the representaton of both open and closed systems: examples of its application (one for each class of systems) will be shown.

[1]  Stefania Bandini,et al.  Mechanisms to support situated agent systems , 2002, Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications.

[2]  Jacques Ferber,et al.  Using reactive multi-agent systems in simulation and problem solving , 1992 .

[3]  Michel Beaudouin-Lafon,et al.  Computer supported co-operative work , 1999 .

[4]  Michael Batty,et al.  Urban Systems as Cellular Automata , 1997 .

[5]  Steven Durlauf,et al.  Growing artificial societies , 1997, Complex.

[6]  G Engelen,et al.  Using cellular automata for integrated modelling of socio-environmental systems , 1995, Environmental monitoring and assessment.

[7]  Abigail Sellen,et al.  Reconsidering the Virtual Workplace: Flexible Support for Collaborative Activity , 1995, ECSCW.

[8]  S. Redner,et al.  Introduction To Percolation Theory , 2018 .

[9]  H. Van Dyke Parunak,et al.  The Process-Interface-Topology Model: Overlooked Issues in Modeling Social Systems , 2000 .

[10]  Paul Davidsson,et al.  Multi Agent Based Simulation: Beyond Social Simulation , 2000, MABS.

[11]  H. Van Dyke Parunak,et al.  Distinguishing Environmental and Agent Dynamics: A Case Study in Abstraction and Alternate Modeling Technologies , 2000, ESAW.

[12]  M. Sahini,et al.  Applications of Percolation Theory , 2023, Applied Mathematical Sciences.

[13]  Stefania Bandini,et al.  Integrating Awareness in Cooperative Applications through the Reaction-Diffusion Metaphor , 2002, Computer Supported Cooperative Work (CSCW).

[14]  Stephen Wolfram,et al.  Theory and Applications of Cellular Automata , 1986 .

[15]  Stefania Bandini,et al.  L*MASS: A Language for Situated Multi-agent Systems , 2001, AI*IA.

[16]  Stefania Bandini,et al.  Parallel simulation of reaction-diffusion phenomena in percolation processes : A model based on cellular automata , 2001, Future Gener. Comput. Syst..

[17]  D. de Cogan,et al.  Cellular Automata Modelling of Physical Systems, by Bastien Chopard & Michel Droz, Cambridge University Press (Aléa Saclay Collection), 336 pp., ISBN 0‐521‐46168‐5, hardback, £55 , 2000 .

[18]  Yaneer Bar-Yam,et al.  Dynamics Of Complex Systems , 2019 .

[19]  Stefania Bandini,et al.  Integrating Forms of Interaction in a Distributed Model , 2004, Fundam. Informaticae.

[20]  A. M. Turing,et al.  The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.

[21]  Marina Jirotka,et al.  Unpacking collaboration: the interactional organisation of trading in a city dealing room , 1993, Computer Supported Cooperative Work (CSCW).

[22]  Bastien Chopard,et al.  Cellular Automata Modeling of Physical Systems: Index , 1998 .

[23]  Gary A. Talbot.  Applications of Percolation Theory , 1995 .

[24]  Tom Rodden,et al.  Populating the application: a model of awareness for cooperative applications , 1996, CSCW '96.

[25]  J. Ferber,et al.  Influences and Reaction : a Model of Situated Multiagent Systems , 2001 .

[26]  Stefania Bandini,et al.  A Computational Model Based on the Reaction-Diffusion Machine to Simulate Transportation Phenomena: the Case of Coffee Percolation , 1998 .