Agent Oriented Engineering and Methodologies with Application to Production, Economical and Social Systems

Multi-agent systems paradigm and technologies are known for couple of years. They are applied in real word in many applications, where characteristic features of multi-agent systems (MAS) are useful and can help to handle, e.g. control and coordination problems. Possibilities to use MAS in many different applications are huge. This chapter features some possible alternatives, where and how MAS can be applied and a problem of agents' coalitions creation. The application field of this approach may be a variety and very wide. It is applicable in resolving planning problems in manufacturing (Sandholm, 1999), (Odubyi, 1997). Another applicable field is in creating of virtual and network enterprises (Horvath, 2006) and in marketing for enterprises, where to maximize own profit each manager (considered as one agent) can try to cooperate with another ones (Cantamessa, 2001), (Wellman, 1993). Coalition in this case may have another effect to eliminate execution of agents not belonging to the same coalition. Another problem belongs to the coalition creation for large scale multi-agent systems that adress problem of shceduling and planing in huge manufacturing systems and network enterprises. MAS can be used for modelling and managing social systems and virtual societies, as it is described in this chapter. One of new approaches to the MAS research is inspired by similarity between artificial immune systems and multi-agent systems. A multi-agent control system inspired by immune systems is described by the end of the chapter.

[1]  Mohamed Bakhouya,et al.  A Propitient Multi-agent System for Spontaneous Service Emergence in Pervasive Computing environments , 2007, IEEE International Conference on Pervasive Services.

[2]  Michael Wooldridge,et al.  Production Sequencing as Negotiation , 1996, PAAM.

[3]  Alan S. Perelson,et al.  The immune system, adaptation, and machine learning , 1986 .

[4]  Paul Valckenaers,et al.  Applications and environments for multi-agent systems , 2007, Autonomous Agents and Multi-Agent Systems.

[5]  Alan S. Perelson,et al.  Self-nonself discrimination in a computer , 1994, Proceedings of 1994 IEEE Computer Society Symposium on Research in Security and Privacy.

[6]  Sarit Kraus,et al.  Feasible Formation of Coalitions Among Autonomous Agents in Nonsuperadditive Environments , 1999, Comput. Intell..

[7]  Ferat Sahin,et al.  AISIMAM – An Artificial immune system based intelligent multi agent model and its application to a mine detection problem , 2002 .

[8]  Ivana Budinská,et al.  AGENTS COALITION IN COORDINATION PROCESS , 2002 .

[9]  M. B E R N A S C H I 1 A N D F C A S T I G L I O N E Selection of escape mutants from immune recognition during HIV infection , 2002 .

[10]  J Timmis,et al.  An artificial immune system for data analysis. , 2000, Bio Systems.

[11]  Fumio Mizoguchi,et al.  Design of security system based on immune system , 2001, Proceedings Tenth IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises. WET ICE 2001.

[12]  László Monostori,et al.  From plant and logistics control to multi-enterprise collaboration , 2006, Annu. Rev. Control..

[13]  P. Matzinger Tolerance, danger, and the extended family. , 1994, Annual review of immunology.

[14]  Leandro Nunes de Castro,et al.  The Clonal Selection Algorithm with Engineering Applications 1 , 2000 .

[15]  F Castiglione,et al.  Selection of escape mutants from immune recognition during HIV infection , 2002, Immunology and cell biology.

[16]  Ralph Bergmann,et al.  Experience Management: Foundations, Development Methodology, and Internet-Based Applications , 2002 .

[17]  Fumio Mizoguchi,et al.  A multiagent robot language for communication and concurrency control , 1998, Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160).

[18]  Michael P. Wellman A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems , 1993, J. Artif. Intell. Res..

[19]  T. Fukuda,et al.  Immune Networks Using Genetic Algorithm for Adaptive Production Scheduling , 1993 .

[20]  Tuomas Sandholm,et al.  Distributed rational decision making , 1999 .

[21]  Mohamed Bakhouya,et al.  Adaptive Approach for the Regulation of a Mobile Agent Population in a Distributed Network , 2006, 2006 Fifth International Symposium on Parallel and Distributed Computing.

[22]  I.J. Rudas,et al.  Virtual Space for Intelligent Engineering in Mechatronics , 2006, 2006 IEEE International Conference on Mechatronics.

[23]  Ivana Budinska,et al.  Optimal Creation of Agent Coalitions for Manufacturing and Control , 2003, Comput. Artif. Intell..

[24]  Chris Gokey,et al.  SAIRE—a scalable agent-based information retrieval engine , 1997, AGENTS '97.

[25]  Agostino Villa,et al.  Negotiation Models and Production Planning for Virtual Enterprises , 2001 .

[26]  Leandro Nunes de Castro,et al.  Artificial Immune Systems: A Novel Approach to Pattern Recognition , 2002 .

[27]  Chonho Lee,et al.  Biologically-Inspired Design of Autonomous and Adaptive Grid Services , 2006, International Conference on Autonomic and Autonomous Systems (ICAS'06).

[28]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[29]  MakingTuomas W. Sandholm Distributed Rational Decision Making 5.1 Introduction , 1999 .

[30]  Michael Wooldridge,et al.  An Introduction to MultiAgent Systems John Wiley & Sons , 2002 .