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

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.

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