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Authors: Jan Kantert 1 ; Sarah Edenhofer 2 ; Sven Tomforde 2 ; Jörg Hähner 3 and Christian Müller-Schloer 1

Affiliations: 1 Leibniz Universität Hannover, Germany ; 2 Augsburg University, Germany ; 3 Universität Augsburg, Germany

ISBN: 978-989-758-073-4

ISSN: 2184-433X

Keyword(s): Adaptive Control Loop, Multi-Agent-Systems, Trust, Norms, Desktop-Grid System.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Autonomous Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Self Organizing Systems ; Software Engineering ; Symbolic Systems

Abstract: The Trusted Desktop Grid (TDG) is a self-organised, agent-based organisation, where agents perform computational tasks for others to increase their performance. In order to establish a fair distribution and provide counter-measures against egoistic or malicious elements, technical trust is used. A fully self-organised approach can run into disturbed states such as a trust breakdown of the system that lead to unsatisfying system performance although the majority of participants is still behaving well. We previously introduced an additional system-wide control loop to detect and alleviate disturbed situations. Therefore, we describe an Observer/Controller loop at system level that monitors the system status and intervenes if necessary. This paper focuses on the controller part which instantiates norms as reaction to observed suspicious situations. We demonstrate the benefit of our approach within a Repast-based simulation of the TDG. Therein, the impact of disturbances on the s ystem performance is decreased significantly and the time to recover is shortened. (More)

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Paper citation in several formats:
Kantert, J.; Edenhofer, S.; Tomforde, S.; Hähner, J. and Müller-Schloer, C. (2015). Defending Autonomous Agents Against Attacks in Multi-Agent Systems Using Norms.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-073-4, ISSN 2184-433X, pages 149-156. DOI: 10.5220/0005202101490156

@conference{icaart15,
author={Jan Kantert. and Sarah Edenhofer. and Sven Tomforde. and Jörg Hähner. and Christian Müller{-}Schloer.},
title={Defending Autonomous Agents Against Attacks in Multi-Agent Systems Using Norms},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={149-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005202101490156},
isbn={978-989-758-073-4},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Defending Autonomous Agents Against Attacks in Multi-Agent Systems Using Norms
SN - 978-989-758-073-4
AU - Kantert, J.
AU - Edenhofer, S.
AU - Tomforde, S.
AU - Hähner, J.
AU - Müller-Schloer, C.
PY - 2015
SP - 149
EP - 156
DO - 10.5220/0005202101490156

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