Multi-Agent Decision Taking System

The paper presents the process of taking global decisions on the basis of the knowledge of local decision systems involving the mutually complementary observations of objects which can be mutually contradictory. The authors suggest the organization of local decision systems into a multi-agent system with a hierarchical structure. The structure of multi-agent systems and the theoretical aspects of the organization of the system are presented. A density-based algorithm has been used in the process of taking global decisions. Furthermore the paper presents the results of experiments conducted using realistic data.

[1]  Dominik Ślęzak,et al.  Neural Network Architecture for Synthesis of the Probabilistic Rule Based Classifiers , 2003, RSKD.

[2]  S. Tsumoto,et al.  Rough set methods and applications: new developments in knowledge discovery in information systems , 2000 .

[3]  A. Wakulicz-Deja,et al.  Hierarchiczny system wieloagentowy , 2007 .

[4]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[5]  Katia P. Sycara,et al.  Coordination of Multiple Intelligent Software Agents , 1996, Int. J. Cooperative Inf. Syst..

[6]  Subhash C. Bagui,et al.  Combining Pattern Classifiers: Methods and Algorithms , 2005, Technometrics.

[7]  Marco Dorigo,et al.  Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..

[8]  Daniel T. Larose,et al.  Data mining methods and models , 2006 .

[9]  Luca Maria Gambardella,et al.  Ant Algorithms for Discrete Optimization , 1999, Artificial Life.

[10]  Zdzislaw Pawlak,et al.  An Inquiry into Anatomy of Conflicts , 1998, Inf. Sci..

[11]  Ludmila I. Kuncheva,et al.  Combining Pattern Classifiers: Methods and Algorithms , 2004 .

[12]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[13]  James F. Peters,et al.  Rough Set Approach to Pattern Extraction from Classifiers , 2003, RSKD.

[14]  Zdzislaw Pawlak,et al.  On Conflicts , 1984, Int. J. Man Mach. Stud..

[15]  Philip D. Straffin,et al.  Game theory and strategy , 1993 .

[16]  M. Przybyła-Kasperek,et al.  Podejmowanie decyzji globalnej z zastosowaniem hierarchicznego systemu wieloagentowego oraz algorytmu mrówkowego , 2009 .

[17]  Lech Polkowski,et al.  A Rough Set Approach to Estimating the Game Value and the Shapley Value from Data , 2002, Fundam. Informaticae.

[18]  Po-Hsian Huang,et al.  An application of quantitative techniques to conflict resolution in a multi-agent system , 2003, Comput. Electr. Eng..

[19]  Andrzej Skowron,et al.  On some conflict models and conflict resolution , 2002 .

[20]  Z. Pawlak.  Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .