Abstract
In a Multi-Agent Based Simulation (MABS) special attention must go to the analysis, modeling and implementation of the environment. Environments for simulation of real world problems may be complex. Seeing the environment as a monolithic structure only reduces our capacity to handle large scale, real-world environments. In order to support this type of environments, we propose the use of an holonic perspective to represent the environment and the agents. In our approach, agents and environment are represented by holons. The environment defines a holarchy. Each agent belong to a specific holon in this holarchy following its needs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adam, E., Mandiau, R., Kolski, C.: Une Méthode de modelisation et de conception d’organizations Multi-Agents holoniques, ch. 2, pp. 41–75. Hermes (2002)
Bonakdarian, E., Cremer, J., Kearney, J., Willemsen, P.: Generation of ambient traffic for real-time driving simulation. In: 1998 Image Conference, pp. 123–133 (August 1998)
Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems: Prosa (1998)
Bürckert, H.-J., Fischer, K., Vierke, G.: Transportation scheduling with holonic mas - the teletruck approach. In: Proceedings of the Third International Conference on Practical Applications of Intelligent Agents and Multiagents (1998)
Cetin, N., Burri, A., Nagel, K.: A large-scale agent-based traffic microsimulation based on queue model. In: Chevroulet, T., Sevestre, A. (eds.) Swiss Transport Research Conference 2003 - STRC 2003 (2003)
Donikian, S.: How introduce life in virtual environments: a urban environment modeling system for driving simulation. Technical report, Institut de Recherche en Informatique de Toulouse (October 1996)
Farenc, N., Boulic, R., Thalmann, D.: An informed environment dedicated to the simulation of virtual humans in urban context. In: Proc. Eurographics 1999, Milano, Italy (1999)
Ferber, J., Müller, J.-P.: Influences and reaction: a model of situated multiagent systems. In: ICMAS 1996 (December 1996)
Gerber, C., Siekmann, J.H., Vierke, G.: Holonic multi-agent systems. Technical Report DFKI-RR-99-03, Deutsches Forschungszentrum für Künztliche Inteligenz - GmbH, Postfach 20 80, 67608 Kaiserslautern, FRG (May 1999)
Gruer, P., Hilaire, V., Koukam, A., Rovarini, P.: Heterogeneous formal specification based on object-z and statecharts: semantics and verification. Journal of Systems and Software 70(1-2), 95–105 (2004)
Gutknecht, O., Ferber, J.: The MADKIT agent platform architecture. In: Agents Workshop on Infrastructure for Multi-Agent Systems, pp. 48–55 (2000)
Heidemann, D.: A queuing theory approach to speed-flow-density relationships. In: Proceedings of the 13th International Symposium on Transportation and Traffic Theory, Lyon, France, pp. 103–118 (July 1996)
Helbing, D.: Theoretical foundation of macroscopicnext term traffic models. Physica A: Statistical and Theoretical Physics 219, 375–390 (1995)
Hilaire, V., Koukam, A., Gruer, P., Müller, J.-P.: Formal specification and prototyping of multi-agent systems. In: Omicini, A., Tolksdorf, R., Zambonelli, F. (eds.) ESAW 2000. LNCS, vol. 1972, p. 114. Springer, Heidelberg (2000)
Koestler, A.: The Ghost in the Machine. Hutchinson (1967)
Kotsialos, A., Papageorgiou, M., Diakaki, C., Pavlis, Y., Middelham, F.: Traffic flow modeling of large-scale motorway networks using the macroscopic modeling tool metanet. IEEE Transactions on Intelligent Transportation Systems 3(4), 282–292 (2002)
Kozuka, H., Matsui, Y., Kanoh, H.: Traffic flow simulation using cellular automata under non-equilibrium environment. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2001), pp. 1341–1345 (October 2001)
Lighthill, M.J., Whitham, G.B.: On kinematic waves. ii. a theory of traffic flow on long crowded roads. Proc. Roy. Soc. London. Ser. A. 229, 317–345 (1955)
Michel, F.: Formalisme, méthodologie et outils pour la modélisation et la simulation de systèmes multi-agents. PhD thesis, Université de Montpellier II (2004)
Michel, F., Gouaich, A., Ferber, J.: Weak interaction and strong interaction in agent based simulations. In: The 4th Workshop on Multi-Agent Based Simulation MABS 2003 at AAMAS 2003, Melbourne, Australia (July 2003) (to appear, LNCS volume)
Nagel, K.: Particle hopping models and traffic flow theory. Physical Review E 53(5), 4655–4672 (1996)
Nagel, K.: Traffic at the edge of chaos. In: Artificial Life IV, pp. 222–235 (1994)
Odell, J., Van Dyke Parunak, H., Fleischer, M., Breuckner, S.: Modeling agents and their environment. In: Giunchiglia, F., Odell, J.J., Weiss, G. (eds.) AOSE 2002. LNCS, vol. 2585, pp. 16–31. Springer, Heidelberg (2003)
Paruchuri, P., Pullalarevu, A.R., Karlapalem, K.: Multi agent simulation of unorganized traffic. In: International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy. ACM, New York (2002)
Pun-Cheng, L.S.C.: A new face-entity concept for modeling urban morphology. Journal of Urban and Regional Information Systems Association 12(3) (2000)
Raney, B., Nagel, K.: An agent-based microsimulation model of swiss travel: First results. In: Chevroulet, T., Sevestre, A. (eds.) Swiss Transport Research Conference 2003 - STRC 2003 (March 2003)
Rascle, M.: An improved macroscopic model of traffic flow: Derivation and links with the lighthill-whitham model. Mathematical and Computer Modelling 35, 581–590 (2002)
Resnick, M.: Turtles, Termites and Traffic Jams. Explorations in massively parallel microworlds. MIT Press, Cambridge (1997)
Rickert, M., Nagel, K., Schreckenberg, M., Latour, A.: Two lane traffic simulations using cellular automata. Physica A (1996)
Rodriguez, S., Hilaire, V., Koukam, A.: Towards a methodological framework for holonic multi-agent systems. In: Omicini, A., Petta, P., Pitt, J. (eds.) ESAW 2003. LNCS, vol. 3071. Springer, Heidelberg (2004)
Rodriguez, S., Hilaire, V., Koukam, A.: Fomal specification of holonic multi-agent system framework. In: Intelligent Agents in Computing Systems - The Agent Days in Atlanta. LNCS. Springer, Heidelberg (to appear, 2005)
Silva, P.C.M.: Buses in miroscopic traffic simulation models. Technical report, University of London, Centre for Transport Studies (May 1997)
Simon, H.A.: The Science of Artificial, 3rd edn. MIT Press, Cambridge (1996)
Project Smarttest. Smartest. final report. Technical report, Smartest Project (2000)
Teramoto, E., Baba, M., Mori, H., Asano, Y., Morita, H.: Netstream: traffic simulator for evaluating traffic information systems. In: IEEE Conference on Intelligent Transportation System, Boston, MA, USA, pp. 484–489 (1997)
Weyns, D., Van Dyke Parunak, H., Michel, F., Holvoet, T., Ferber, J.: Environments for multiagent systems: State-of-the-art and research challenges. Technical report, The First International Workshop on Environments for Multiagent Systems (2004)
Wittig, T.: ARCHON: An Architecture for Multi-Agent Systems. Ellis Horwood (1992)
Van Woensel, T., Vandaele, N.: Queuing models for uninterrupted traffic flows. In: Proceedings of the 13th Mini-EURO Conference. Handling Uncertainty in the Analysis of Traffic and Transportation Systems, Bari, Italy (June 2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rodriguez, S., Hilaire, V., Koukam, A. (2006). Holonic Modeling of Environments for Situated Multi-agent Systems. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds) Environments for Multi-Agent Systems II. E4MAS 2005. Lecture Notes in Computer Science(), vol 3830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11678809_2
Download citation
DOI: https://doi.org/10.1007/11678809_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32614-4
Online ISBN: 978-3-540-32615-1
eBook Packages: Computer ScienceComputer Science (R0)