Influence of Norms on Decision Making in Trusted Desktop Grid Systems - Making Norms Explicit

Jan Kantert, Lukas Klejnowski, Yvonne Bernard, Christian Müller-Schloer

2014

Abstract

In a Trusted Desktop Grid agents cooperate to improve the speedup of their calculations. Since it is an open system, the behaviour of agents can not be foreseen. In previous work we have introduced a trust metric to cope with this information uncertainty. Agents rate each other and exclude undesired behaving agents. Previous implementations of agents used hardcoded logic for those ratings. In this paper, we propose an approach to convert implicit rules to explicit norms. This allows learning agents to understand the expected behavior and helps us to provide an improved reaction to attacks by changing norms.

References

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Paper Citation


in Harvard Style

Kantert J., Klejnowski L., Bernard Y. and Müller-Schloer C. (2014). Influence of Norms on Decision Making in Trusted Desktop Grid Systems - Making Norms Explicit . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-016-1, pages 278-283. DOI: 10.5220/0004918002780283


in Bibtex Style

@conference{icaart14,
author={Jan Kantert and Lukas Klejnowski and Yvonne Bernard and Christian Müller-Schloer},
title={Influence of Norms on Decision Making in Trusted Desktop Grid Systems - Making Norms Explicit},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2014},
pages={278-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004918002780283},
isbn={978-989-758-016-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Influence of Norms on Decision Making in Trusted Desktop Grid Systems - Making Norms Explicit
SN - 978-989-758-016-1
AU - Kantert J.
AU - Klejnowski L.
AU - Bernard Y.
AU - Müller-Schloer C.
PY - 2014
SP - 278
EP - 283
DO - 10.5220/0004918002780283