Abstract
Competitive distributed systems pose a challenge to trust modeling due to the dynamic nature of these systems (e.g. electronic auctions) and the unreliability of self-interested agents. We propose a trust model which does not assume a concrete cognitive model for other agents that an agent may interact with, but uses the discrepancy between the information provided by other agents and its own experience in order to anticipate their actions. By anticipating the behavior of other agents, an agent is able to adapt more effectively to changes in the environment for its own benefit.
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Gómez, M., Carbó, J., Benac-Earle, C. (2007). An Anticipatory Trust Model for Open Distributed Systems. In: Butz, M.V., Sigaud, O., Pezzulo, G., Baldassarre, G. (eds) Anticipatory Behavior in Adaptive Learning Systems. ABiALS 2006. Lecture Notes in Computer Science(), vol 4520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74262-3_17
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DOI: https://doi.org/10.1007/978-3-540-74262-3_17
Publisher Name: Springer, Berlin, Heidelberg
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