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We propose a generic model for situation representation in agent trust models. As we argue that general trust models are inappropriate in complex environments and their use for advanced decision-making is limited due to the lack of detail, we introduce a generic framework for context representation in trust model. Presented method is independent of the(More)
We present a universal mechanism that can be combined with existing trust models to extend their capabilities towards efficient modelling of the situational (context-dependent) trust. The mechanism describes the similarity between the situations using their distance in a metric space and defines a set of reference contexts in this space to which it(More)
Acknowledgments This work would not be possible without the collaboration of my colleagues from the Agent Technology Center, the whole Department of Cybernetics, and other collaborating institutions. Specifically, I would like to acknowledge the help of my supervisors, Vladimir Marik and Michal Pechoucek. My thanks also go to my direct collaborators,(More)
The majority of existing trust models is based on three underlying assumptions: (i) proven identity of agents, (ii) repetitive interactions and (iii) similar trusting situations. In our work, we address these assumptions by introduction of simple classification techniques in our mechanism that extends existing trust models, rather than by introduction of a(More)
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