ABSTRACT
The paper introduces the Multilayered Multi--Agent Situated System (MMASS). The MMASS allows tha description of situated agents that is, agents sensitive to the spatial relationships that determine constraints and abilities for actions as well as privileged cooperation relationships. 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 acts and interacts. Agent environment, possibly multilayered, can reproduce a physical space. It is nevertheless possible to define a `virtual space' that agents can roam and where they interact. Interactions take place when two or more agents are brought into dynamic spatial relationship through a set of reciprocal actions, and have an influence on the future behavior of the agents. There are several application domains that require the representation of the space in order to take advantage in the multi--agent approach. Typical examples of these domains are the Multi--Agent Based Simulation (MABS) and the Computer Supported Cooperative Work (CSCW). Two specific problems of these domains will be used in the paper to illustrate the MMASS model.
- S. Bandini, F. DePaoli, S. Manzoni, and C. Simone. Mechanisms to support situated agent systems. Proceedings of 7th IEEE Symposium on Computers and Communications (ISCC2002), to appear.]] Google ScholarDigital Library
- S. Bandini, S. Manzoni, G. Pavesi, and C. Simone. Location of extra--urban shopping centres: A multi--agent based approach. In G. Concilio and V. Monno, editors, Proceedings 2nd National Conference on Information Technology and Spatial Planning: Democracy and Technologies, Bari, 2001.]]Google Scholar
- S. Bandini, S. Manzoni, G. Pavesi, and C. Simone. L*MASS: A language for situated multi--agent systems. In F. Esposito, editor, AI*IA 2001: Advances in Artificial Intelligence, volume 2175 of LNCS, pages 249--254, 2001.]] Google ScholarDigital Library
- S. Bandini and C. Simone. Integrating forms of interaction in a distributed coordination model. Fundamenta Informaticae, in press.]] Google ScholarDigital Library
- M. Beaudouin-Lafon. Computer Supported Cooperative Work. John Wiley &Sons, New York, 1999.]]Google Scholar
- D. Connah. The design of interacting agents for use in interfaces. Human--Machine Communication for Educational Systems Design, Computer and Systems Sciences, 1994.]]Google Scholar
- H. Couclelis. From cellular automata to urban models, new principles for model development and implementation. Urban systems as Cellular Automata, 24(2), 1997.]]Google Scholar
- G. Engelen, R. White, I. Uljii, and P. Drazan. Using cellular automata for integrated modelling of socio--environmental systems. Environmental Monitoring and Assessment, 34:203--214, 1995.]]Google ScholarCross Ref
- J. M. Epstein and R. Axtell. Growing Artificial Societies. Mit Press, Boston, 1996.]] Google ScholarDigital Library
- J. Ferber. Multi--Agents Systems. Addison--Wesley, Harlow (UK), 1999.]]Google Scholar
- J. Ferber and J. Muller. Influences and reaction: A model of situated multiagent systems. In Proceedings of ICMAS96, 1996.]]Google Scholar
- C. Greenhalg and S. Benford. Massive: a collaborative ve for tele--conferencing. ACM TOCHI, 2(3):239--261, 1995.]] Google ScholarDigital Library
- C. Health, L. Jirotka, P. Luff, and J. Hindmarsh. Unpacking collaboration: Interactional organization of trading in a city dealing room. In Proceedings 3rd European Conference on CSCW, pages 155--170, Milano, 1993.]] Google ScholarDigital Library
- C. Heath, p. Luff, and S. A. Reconsidering the virtual workplace: Flexible support for collaborative activity. In Proceedings of the 4th European Conference on CSCW, pages 83--99, 1995.]] Google ScholarDigital Library
- S. Moss and P. Davidsson, editors. Multi--Agent-Based Simulation, Second International Workshop, MABS 2000, volume 1979 of LNCS. Springer, 2001.]] Google ScholarDigital Library
- T. Rodden. Populating the application: A model of awareness for cooperative applications. In Proceedings of CSCW96, pages 87--96, New York, 1996. ACM Press.]] Google ScholarDigital Library
- C. Simone and S. Bandini. Integrating awareness in cooperative applications through the reaction--diffusion metaphor. CSCW, The international Journal of Collaborative Computing, to appear.]] Google ScholarDigital Library
- S. Wolfram. Theory and Applications of Cellular Automata. World Press, Singapore, 1986.]]Google Scholar
Index Terms
- Dealing with space in multi--agent systems: a model for situated MAS
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