Abstract
One large and quite interesting family of MAS applications is characterized (1) by their large scale in terms of number of agents and physical distribution, (2) by their very dynamic nature and (3) by their complex functional and non-functional requirements. This family includes a.o. manufacturing control, traffic control and web service coordination. BDI-based agent architectures have proven their usefulness in building MASs for complex systems - their explicit attention for coping with dynamic environments is one obvious explanation for this. For the family of applications mentioned above, the complexity of the software for the individual agents using traditional BDI-approaches, however, is overwhelming.
In this paper, we present an innovative approach to BDI agents which alleviates agent complexity through so-called “delegate MASs”, which use the environment and its resources to obtain BDI functionality. Delegate MASs consist of light-weight agents, which are issued either by resources for building and maintaining information on the environment, or by task agents in order to explore the options on behalf of the agents and to coordinate their intentions. We describe the approach, and validate it in a case study of manufacturing control. The evaluation in this case study shows the feasibility of the approach in coping with the large scale of the application and shows that the approach elegantly achieves flexibility in highly dynamic environments.
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
Bratman, M.E.: Intentions, Plans, and Practical Reason. Harvard, Cambridge, MA, USA (1987)
Braubach, L., Pokahr, A., Lamersdorf, W.: Jadex: A bdi agent system combining middleware and reasoning. In: Unland, M.K.R., Calisti, M. (eds.) Software Agent-Based Applications, Platforms and Development Kits, pp. 143–168. Birkhäuser-Verlag, Basel (2005)
Braubach, L., Pokahr, A., Lamersdorf, W., Moldt, D.: Goal representation for bdi agent systems. In: Bordini, R.H., Dastani, M. (eds.) Second International Workshop on Programming Multiagent Systems: Languages and Tools, July 2004, pp. 9–20 (2004)
Bussmann, S., Jennings, N.R., Wooldridge, M.: Multiagent systems for manufacturing control: A design methodology. Springer Series on Agent Technology, vol. XIV. Springer, Heidelberg (2004)
Csáji, B.C., Monostori, L., Kádár, B.: Reinforcement learning in a distributed market-based production control system (2004)
Dignum, F., Morley, D., Sonenberg, L., Cavedon, L.: Towards socially sophisticated bdi agents. In: ICMAS, pp. 111–118. IEEE Computer Society, Los Alamitos (2000)
Marcus, A., Vancza, T., Monostori, L.: A market approach to holonic manufacturing (1996)
Parsons, S., Pettersson, O., Saffiotti, A., Wooldridge, M.: Intention reconsideration in theory and practice. In: Horn, W. (ed.) Proceedings of the Fourteenth European Conference on Artificial Intelligence (ECAI-2000), John Wiley & Sons, Chichester (2000), citeseer.ist.psu.edu/article/parsons00intention.html
Parunak, H.V.D., Baker, A.D., Clark, S.J.: The aaria agent architecture: From manufacturing requirements to agent-based system design. Integrated Computer-Aided Engineering 8(1), 45–58 (2001)
Pěchouček, M., Říha, A., Vokřínek, J., Mařík, V., Pražma, V.: Explantech: applying multi-agent systems in production planning. International Journal of Production Research 40(15), 3681–3692 (2002)
Rao, A.S., Georgeff, M.P.: BDI-agents: from theory to practice. In: Proceedings of the First Intl. Conference on Multiagent Systems, San Francisco (1995)
Thangarajah, J., Padgham, L., Harland, J.: Representation and reasoning for goals in BDI agents. In: Oudshoorn, M.J. (ed.) Twenty-Fifth Australasian Computer Science Conference (ACSC2002), Melbourne, Australia. ACS (2002)
Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems: Prosa. Computers in Industry 37(3), 255–276 (1998)
Weyns, D., Parunak, H.V.D., Michel, F., Holvoet, T., Ferber, J.: Environments for multiagent systems state-of-the-art and research challenges. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 1–47. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Holvoet, T., Valckenaers, P. (2007). Exploiting the Environment for Coordinating Agent Intentions. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds) Environments for Multi-Agent Systems III. E4MAS 2006. Lecture Notes in Computer Science(), vol 4389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71103-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-71103-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71102-5
Online ISBN: 978-3-540-71103-2
eBook Packages: Computer ScienceComputer Science (R0)