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Stochastic Dynamics of Evolutionary Multi-Agent Systems

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Warianty tytułu
Konferencja
Evolutionary Computation and Global Optimization 2009 / National Conference (12 ; 1-3.06.2009 ; Zawoja, Poland)
Języki publikacji
EN
Abstrakty
EN
The refined model for the biologically inspired agent-based computation system EMAS conformed to BDI standard is presented. The considerations are based on the model of the system dynamics as the stationary Markov chain already presented. In the course of paper space of the system states is modified in order assure state coherency and set of actions is simplified. Such a model allows for better understanding the behavior of the proposed complex systems as well as their limitations.
Rocznik
Tom
Strony
27--34
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
autor
Bibliografia
  • 1. Centarowicz, K., Cieciwa, R., Nawarecki, E., Rojek, G.: Unfavorable behavior detection in real world systems using the multiagent system. In: Intelligent Information Processing and Web Mining. (2005)
  • 2. Mitsumoto, N., Fukuda, T., Arai, F.: The immune mechanism, adaptation, learning for the multi agent system. Emerging Technologies and Factory Automation 6-10 (1994)
  • 3. H., H.N., Mizoguchi, F.: Design of security system based on immune system. Tenth IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (2001)
  • 4. Dasgupta, D.: Artificial Immune Systems and Their Applications. Springer-Verlag (1998)
  • 5. Cetnarowicz, K., Kisiel-Dorohinicki, M., Nawarecki, E.: The application of evolution process in multi-agent world (MAW) to the prediction system. In Tokoro, M., ed.: Proc. of the 2nd Int. Conf. on Multi-Agent Systems (ICMAS'96), AAAI Press (1996)
  • 6. Byrski, A., Kisiel-Dorohinicki, M., Nawarecki, E.: Agent-based evolution of neural network architecture. In Hamza, M., ed.: Proc. of the IASTED Int. Symp.: Applied Informatics, IASTED/ACTA Press (2002)
  • 7. Byrski, A., Kisiel-Dorohinicki, M.: Immunological selection mechanism in agent-based evolutionary computation. In Klopotek, M.A., Wierzchon, S.T., Trojanowski, K., eds.: Intelligent Information Processing and Web Mining : proceedings of the international IIS: IIPWM'05 conference : Gdansk, Poland. Advances in Soft Computing, Springer Verlag (2005) 411-415
  • 8. Byrski, A., Kisiel-Dorohinicki, M.: Agent-based evolutionary and immunological optimization. In: Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27-30, 2007, Proceedings, Springer (2007)
  • 9. Kisiel-Dorohinicki, M.: Agent-oriented model of simulated evolution. In Grosky, W.I., Plasil, F., eds.: SofSem 2002: Theory and Practice of Informatics. Volume 2540 of LNCS., Springer-Verlag (2002)
  • 10. Back, T., Hammel, U., Schwefel, H.P.: Evolutionary computation: Comments on the history and current state. IEEE Trans. on Evolutionary Computation 1(1) (1997)
  • 11. Jennings, N.R., Sycara, K., Wooldridge, M.: A roadmap of agent research and development. Journal of Autonomous Agents and Multi-Agent Systems 1(1) (1998) 7-38
  • 12. Jennings, N.R., Wooldridge, M.J.: Software agents. IEE Review (1996) 17-20
  • 13. Cantú-Paz, E.: A summary of research on parallel genetic algorithms. IlliGAL Report No. 95007. University of Illinois (1995)
  • 14. Byrski, A., Schaefer, R.: Immunological mechanism for asynchronous evolutionary computation boosting. In: ICMAM 2008 : European workshop on Intelligent Computational Methods and Applied Mathematics : an international forum for researches, teachers and students : Cracow, Poland. (2008)
  • 15. Byrski, A., Schaefer, R.: Formal model for agent-based asynchronous evolutionary computation. In: IEEE Congress of Evolutionary Computation, Trondheim, Norway (submitted to), IEEE (2009)
  • 16. Vose, M.: The Simple Genetic Algorithm: Foundations and Theory. MIT Press, Cambridge, MA, USA (1998)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA9-0038-0003
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