Dual nature of mass multi-agent systems

• Autorzy: Dobrowolski G. , Kisiel-Dorohinicki M. , Nawarecki E.
• Języki publikacji: EN

Abstrakty

EN

Dual nature of mass multi-agent systems (mMAS) emerging as an internal discord of two spheres - micro (virtual) consisting of agents and their internal phenomena, and macro arising at the interface to the real world $stems the necessity of a new approach to analysis, design and utilisation of such systems. Based on the concept of VR decomposition, the problem of management of such systems is discussed. As a sub-type that makes mMAS closer to the application sphere, an evolutionary multi-agent system (EMAS) is proposed. EMAS combines features of mMAS with advantages of an evolutionary model of computation. As an illustration of this consideration two particular EMAS are presented, which allow us to obtain promising results in the fields of multiobjective optimisation and time-series prediction, and thus justify the approach.

Słowa kluczowe

EN

mass multiple agent systems; VR decomposition; virtual reality; multiobjective optimisation; time series prediction; micro-macro link; formal model; evolutionary multiple agent system

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2001
• Tom: Vol. 27, nr 3
• Strony: 77--95
• Opis fizyczny: Bibliogr. 16 poz.

Twórcy

autor

Dobrowolski G.

• Department of Computer Science, UnWersity of Mining and Metallurgy, Kraków, Poland

autor

Kisiel-Dorohinicki M.

• Department of Computer Science, UnWersity of Mining and Metallurgy, Kraków, Poland

autor

Nawarecki E.

• Department of Computer Science, UnWersity of Mining and Metallurgy, Kraków, Poland

Bibliografia

• [1] Bonissone P., Soft computing: the convergence of emerging reasoning technologies, Soft Computing, 1(1), 1997,6-18.
• [2] Cetnarowicz E., Nawarecki E., Cetnarowicz K., Agent oriented technology of decentralized systems based on the M-Agent architecture, Proc. of the MCPL'97, IFAC/IFIP Conference, 1997.
• [3] Cetnarowicz K., Dobrowolski G., Kisiel-Dotohnicki M, Nawarecki E., Multitude of agents versus functionality of the system, [in:] Z. Bubnicki and A. Grzech (eds.), Proc. of 13th Int. Conf. On Systems Science, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, Poland, 1998.
• [4] Cetnarowicz K., Kisiel-Dorohinicki M., Nawarecki E., The application of evolution process in multi-agent world (MAW) to the prediction system, [in:] Tokoro [15].
• [5] Denzinger J., Fuchs M., Experiments in learning prototypical situations for variants of the pursuit game, [in:] Tokoro [15].
• [6] Dobrowolski G., Kisiel-Dorohinicki M., Nawarecki E., Evolutionary multi-agent system in multi objective optimisation, [in:] M. Hamza (ed.), Proc. of the IASTED Int. Symp. Applied Informatics, IASTED/ACTA Press, 2001.
• [7] Dobrowolski G., Kisiel-Dorohinicki M., Nawarecki E., Some approach to design and realisation of mass multi-agent systems, [in:] R. Schaefer and S. Sędziwy (eds.), Advances in Multi-Agent Systems, Jagiellonian University, 2001.
• [8] Ferber J., Multi-Agent Systems. An Introduction to Distributed Artificial Intelligence, Addison-Wesley, 1999.
• [9] Ferber J., Labbani O., Muller J.-P., Bourjault A., Formalising emergent collective behaviours: Preliminary report, Proc. of Int. Workshop on Distributed Artificial Intelligence and Multi-Agent Systems (DAIMAS'97), St. Petersburg, Russia, 1997.
• [10] Gordin M., Sen S., Puppala N., Evolving cooperative groups: Preliminary results, Working Papers of the AAAI-97 Workshop on Multiagent Leaming, AAAI, 1997.
• [11] Haynes T., Sen S., Crossover operators for evolving A team, [in:] J. R. Koza, K. Deb, M. Dorigo, D. B. Fogel, M. Garzon, H. Iba and R. L. Riolo (eds.), Genetic Programming 1997: Proceedings of the Second Annual Conference, Morgan Kaufmann Publishers, 1997.
• [12]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.
• [13] KASABOV N. K., Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering, The MIT Press, 1996.
• [14] Liu J., Qin H., Adaptation and learning in animated creatures, [in:] W. L. Johnson and B. Hayes-Roth (eds.), Proc. of the lst Int. Conf. on Autonomous Agents (Agents'97), ACM Press, 1997.
• [15] Tokoro M., Proc. of the 2nd Int. Conf. on Multi-Agent Systems (ICMAS'96), AAAI Press, 1996.
• [16] Verhagen H. J. E., Smit R. A., Modelling social agents in a multiagent world, Position Papers of the 7th European Workshop on Modelling Autonomous Agents in a Multi-Agent World (MAAMAW'96), Technical Report 96-1, Vrije Universiteit Brussel, Artificial Intelligence Laboratory, 1996.