An Architecture for Trust-Adaptive Agents

Author

Klejnowski, Lukas ; Bernard, Yvonne ; Hähner, Jörg ; Müller-Schloer, Christian

Author_Institution

Inst. of Syst. Eng., Leibniz Univ. Hannover, Hannover, Germany

fYear

2010

fDate

27-28 Sept. 2010

Firstpage

178

Lastpage

183

Abstract

This paper describes a generic architecture for agents that allows agents to adapt to dynamic environments by using a trust mechanism in conjunction with machine learning. Central parts of the architecture are an Observer/Controller loop and a trust aggregation mechanism. It is shown how this proposed architecture can be applied to agents that act on behalf of a user in a decentralised desktop grid computing system. Furthermore, first results of an evaluation in this scenario are discussed.

Keywords

grid computing; learning (artificial intelligence); multivariable systems; security of data; software agents; software architecture; decentralised desktop grid computing system; dynamic environments; generic agent architecture; machine learning; observer-controller loop; trust aggregation mechanism; trust-adaptive agents; Adaptation model; Communities; Computational modeling; Computer architecture; Engines; Observers; Production; Adaptation; Agent architecture; Cooperative systems; Desktop grid; Grid Computing; Multi-agent system; Organic Computing; Trust;

fLanguage

English

Publisher

ieee

Conference_Titel

Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on

Conference_Location

Budapest

Print_ISBN

978-1-4244-8684-7

Type

conf

DOI

10.1109/SASOW.2010.37

Filename

5729618