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GROUP COMPOSER – system for modeling agents’ team building for tasks

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
Multi-agent systems consist of many autonomous units, called agents, that can interact when trying to achieve their goals. The selection of interaction partners is called team formation. Three basic approaches can be considered to match multi-agent system resources to the problem at hand. To research the properties of di ff erent approaches, a software for modeling team formation in multi-agent systems has been created and is presented in this paper. Currently the software implements a centrally processed computerdriven group formation. University employee’s representation, with a few possible human characteristics, was used for verification. Tests performed on sample data confirm that chosen representation and algorithm are successful at finding groups which meet specific constraints.
Rocznik
Strony
97--109
Opis fizyczny
Bibliogr. 7 poz.
Twórcy
autor
  • Gdansk University of Technology, Faculty of Electrical and Control Engineering, Department of Theoretical Electrotechnics and Informatics, ul. G. Narutowicza 11/12, 80-233 Gdańsk
Bibliografia
  • [1] Michael, W., An Introduction to MultiAgent Systems - Second Edition, John Wiley and Sons, 2nd ed., 2009.
  • [2] Gaston, M. E. and des Jardins, M., Agent-organized networks for dynamic team formation, In: AAMAS ’05 Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, 2005, pp. 230– 237.
  • [3] Shoham, Y. and Leyton-Brown, K., Multiagent Systems: Algorithmic, GameTheoretic, and Logical Foundations, Cambridge University Press, 2009.
  • [4] Sandholm, T. and Lesser, V., Issues in automated negotiation and electronic commerce: extending the contract net protocol, In: Proceedings of First International Conference on Multi-agent Systems (ICMAS95), 1995, pp. 328–335.
  • [5] Dignum, F., Dunin-Keplicz, B., and Verbrugge, R., Agent theory for team formation by dialogue, In: Proceedings of the 7th International Workshop on Intelligent Agents VI. Agent Theories Architectures and Languages, 2000, pp. 150–166.
  • [6] Jones, E. G., Browning, B., Dias, M. B., Argall, B., Veloso, M., and Stentz, A., Dynamically Formed Heterogeneous Robot Teams Performing TightlyCoordinated Tasks, In: In Proc. Of International Conference on Robotics and Automation, 2000, pp. 570–575.
  • [7] Durfee, E., Lesser, V., and Corkill, D., Trends in Cooperative Distributed Problem Solving, IEEE Transactions on Knowledge and Data Engineering, Vol. KDE-1, No. 1, 1989, pp. 63–83.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c67d83c3-c06c-414a-b9e5-cb71eb9ee237
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