SELF-ORGANIZATION FOR MULTI-AGENT COOPERATIONby Mareike Redder

Supervisor Jerome Jouffroy, Co-Supervisor Robert BrehmApril 2017 – March 2020

Contact

Mareike Redder, M.Sc.

Mönkhofer Weg 239

23562 Lübeck

Phone: +49 451 300 5620

E-Mail: mareike.redder@fh-luebeck.de

Web: http://www.wie-zentrum.de, http://www.project-carpediem.eu

Today’s increasing complexity of modern automation systems requires an intelligent, dynamic coordination and a high-level

flexibility. Maintaining and increasing the flexibility of those systems in order to provide quality characteristics such as scalability,

expandability or modularity can be guaranteed due to distributed intelligent agent architectures. Autonomous decentralized agents

ensure a conceptual distribution of objectives, decision process, functionality and responsibilities in automation systems. Individual

agents represent entities that are able to communicate and act to surrounding variances. All agents occupy distinct capabilities and

functionalities to act independently and reasonable. Hence, they necessarily need to determine whether the own efficiency has a

high priority, or rather the global objective of the system should be achieved by cooperating with other selected agents within the

network. The coordination of the agent cooperation needs to be enhanced to ensure a proper behavior for environmental

uncertainties or topological dynamics.

Background

This project is carried out in collaboration between the

Lübeck University of Applied Sciences and the

University of Southern Denmark. The PhD project is

content-wise part of the Interreg 5A project

carpeDIEM.

Acknowledgement

Self-organization mechanisms and emergence in multi agent systems

Determination of agent based cooperation algorithms and dynamic

cooperation control within a multi agent systems

Social studies in various dilemmas and reciprocity

Principles of sufficient reasoning and distributed learning

Implementation of distributed intelligent agent architectures

Areas Of Investigation

The main objective of this elaboration will be the research and

development of suitable methods for self-organized cooperative

control techniques in distributed intelligent networks.

Various mathematical algorithms will be applied to analyze the

efficiency of a dynamic cooperation control within a multi agent

system. Moreover, feasibility studies will be done to validate and verify

the elaborated methods.

Objectives

[1] Leitao, Paulo, et al. "Smart Agents in Industrial Cyber–Physical Systems."Proceedings of the IEEE 104.5 (2016): 1086-1101.

[2] Melamed, Yitzhak Y. and Lin, Martin, "Principle of Sufficient Reason", The Stanford Encyclopedia of Philosophy (Spring 2017

Edition), Edward N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/spr2017/entries/sufficient-reason/>.

[3] Strogatz, Steven H. (2003): SYNC. How order emerges from chaos in the universe, nature, and daily life. First Hachette Books

trade edition. New York: Hachette Books.

[4] Axelrod, R. M. (1997). The complexity of cooperation: Agent-based models of competition and collaboration. Princeton

University Press.

[5] Serugendo, G. D. M., Gleizes, M. P., & Karageorgos, A. (2006). Self-organisation and emergence in MAS: An overview.

Informatica (Slovenia), 30(1), 45-54.

References

Cooperation algorithms and agreements that can

be applied in distinct cyber physical systems e.g.

energy or control systems

Implementation of cooperation algorithms on an

experimental simulation platform

Determination of cooperation strategies without

or with minimized communication effort

Expected Results