Abstract
The most characteristic feature of many multiagent systems is that in order to achieve a common goal each of the autonomous agents depends on cooperation and communication with other agents. Due to the autonomy of agents, however, there may appear different kinds of conflicts among members of agents’ population. One of them refers to conflicts of states of agents’ knowledge on their common world. In this paper a tool for representing conflicts of agents’ knowledge and some methods for solving them by means of consensus theory are presented.
This work is supported by Grant No. W8 I17/341572 of Wroclaw University of Technology.
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
Barber, K. S., Liu, T. H., Goel, A., Martin, C. E., Conflict Representation and Classification in Domain Independent Conflict Management Framework. In: Proceedings of the third annual conference on Autonomous Agents, May 1-5, Seattle WA USA (1999) 346–347. 232
DaniClowicz, C., Nguyen, N. T.: Consensus-Based Partition in the Space of Ordered Partitions. Pattern Recognition 21 (1988) 269–273. 235
Ephrati, E., Rosenschein, J. S: Deriving Consensus in Multiagent Systems. Artificial Intelligence 87 (1998) 21–74. 232
Jennings, N. R. et. al.: Automated Negotiation: Prospects, Methods and Challenge. Journal of Group Decision and Negotiation 10 (2001) 199–215. 232
Katarzyniak, K., Nguyen, N. T.: Reconciling Inconsistent Profiles of Agents’ Knowledge States in Distributed Multiagent Systems Using Consensus Methods. System Science 26 (2001) 93–119. 237
Katarzyniak, K., Nguyen, N. T.: Using Consensus Methods to Determining Encapsulated Profiles of The World States Distributed in Multiagent Systems. In: Proceedings of 14th International Conference on System Engineering, Coventry UK (2000) 300–304. 231
Kersten, G. E., Szpakowicz, S.: Negotiation in Distributed Artificial Intelligence: Drawing from Human Experiences. In: Proceedings of the 27th Hawaii International Conference on System Sciences, Vol. IV, IEEE Computer Society Press (1994) 258–270. 232
Nawarecki, E.: Conflicts, Negotiation and Compromise in Decentralized Systems. Automatyka 1 (1997) 311–319. 232
Neigebauer, A.: Information Systems Aiding Decision Making in Conflict Systems. WAT Warsaw (1999). 232
Nguyen, N. T.: Conflict Profiles’ Susceptibility to Consensus in Consensus Systems. Bulletin of International Rough Sets Society 5(1/2) (2001) 217–224. 233
Nguyen, N. T.: Using Consensus Methods for Solving Conflicts of Data in Distributed Systems. In: Proceedings of 27th SOFSEM, Milovy 2000. Lecture Notes in Computer Science 1963 (2000) 409–417. 233
Nguyen, N. T.: Consensus Choice Methods and their Application to Solving Conflicts in Distributed Systems. Wroclaw Univ. of Technology Press (2002). 233
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Piotr Katarzyniak, R., Thanh Nguyen, N. (2002). Solving Conflicts of Agent Knowledge States in Multiagent Systems. In: Grosky, W.I., Plášil, F. (eds) SOFSEM 2002: Theory and Practice of Informatics. SOFSEM 2002. Lecture Notes in Computer Science, vol 2540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36137-5_17
Download citation
DOI: https://doi.org/10.1007/3-540-36137-5_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00145-4
Online ISBN: 978-3-540-36137-4
eBook Packages: Springer Book Archive