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Agents and Events: the Objective of Action, Finite Event Duration, and Fuzzy Logic
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Abstract
In a traditional discrete event and queuing simulation the user defines the system resources and the possible events that the model entities (clients, moving items) will execute. In the proposed approach the entities are replaced with agents which actions are not pre-defined and rather result from the agent objectives. The resulting events are also equipped with sub-objectives to reach. The goal of this paper is to propose an event simulation paradigm, different from the traditional crisp discrete event simulation. This is a methodological and conceptual approach, rather than a practical implementation. The proposed approach is to equip the events interactions with finit duration and fuzzy logic. It is pointed out that the problem of handling of simultaneous events does not exist in such models. It is also shown that the classic crisp discrete event model is not necessarily the limit case of any sequence of semi-discrete models with event duration interval approaching zero.
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References
Barros F.J. (1996), The Dynamic Structure Discrete event System Specification Formalism, Transaction of the Society for Computer Simulation, vol. 13, no.1, pp 35-46.
http://dx.doi.org/10.1109/wsc.1995.478858
Chow A.C.-H (1996), Parallel DEVS: A parallel, hierarchical, modular modeling formalism and its distributed simulator, Transaction of the Society for Computer Simulation, vol. 13, no.2, pp 55-67., 1996.
http://dx.doi.org/10.1109/wsc.1994.717419
Du X., Ying H., Lin F. (2009), Theory of Extended Fuzzy Discrete-Event Systems for Handling Ranges of Knowledge Uncertainties and Subjectivity, IEEE Transactions on Fuzzy Sysyems, vol. 17, no2, 316-328.
http://dx.doi.org/10.1109/tfuzz.2008.2011279
Lin F. Ying H. (2001) , Fuzzy discrete event systems and their observability, IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th , vol.3, no., pp.1271-1276 vol.3, doi: 10.1109/NAFIPS.2001.943730
http://dx.doi.org/10.1109/nafips.2001.943730
Lin F. Ying H. (2002), Modeling and control of fuzzy discrete event systems, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on , vol.32, no.4, pp.408,415, doi: 10.1109/TSMCB.2002.1018761
http://dx.doi.org/10.1109/tsmcb.2002.1018761
Novák, V., Perfilieva, I. and Močkoř, J. (1999), Mathematical principles of fuzzy logic, a book, Dodrecht: Kluwer Academic. ISBN 0-7923-8595-0.
http://dx.doi.org/10.1007/978-1-4615-5217-8
Perrone G., Zinno A. (2001), Fuzzy discrete event simulation: A new tool for rapid analysis of production systems under vague information, Journal of Intelligent Manufacturing, Volume 12, Issue 3, pp 309-326
Raczynski S. (1998), On the metric structure in the space of dynamic system models", Transactions of the Society for Computer Simulation International, Vol.15 co.2, pp.70-75.
Raczynski S (2012), Semi-discrete events and models in categorical language", International Journal of Simulation Modelling, Vienna, Austria, vol 11, no 2, pp. 77-88.
http://dx.doi.org/10.2507/ijsimm11(2)3.203
Railsback S.F., Lytinen S.L., Jackson S.K., (2006), Agent-based Simulation Platforms: Review and Development Recommendations, SIMULATION, September 2006 82: 609-623, doi: 10.1177/0037549706073695.
http://dx.doi.org/10.1177/0037549706073695
Saadawi H., Wainer G.A. (2010), Rational Time-Advance DEVS (RTA-DEVS), Proceedings of 2010 Spring Simulation Conference (SpringSim10), DEVS Symposium, Society for Computer Simulation (SCS), pp. 199-206.
http://dx.doi.org/10.1145/1878537.1878686
Zadeh, L.A. (1965). Fuzzy sets, Information and Control 8 (3): 338–353.
http://dx.doi.org/10.1016/s0019-9958(65)90241-x
Zeigler B.P. (1987), Hierarchical, modular discrete-event modelling in an object-oriented environment, SIMULATION 1987 49(5): 219-230.
http://dx.doi.org/10.1177/003754978704900506
Zhang H., Li H. (2004),. Tam C.M, Fuzzy discrete-event simulation for modeling uncertain activity duration, Engineering, Construction and Architectural Management, Vol. 11 Iss: 6, pp.426 – 437.
http://dx.doi.org/10.1108/09699980410570184
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