Combining Cognitive with Computational Trust Reasoning

Eugen Staab, Thomas Engel, In: Revised Selected Post-Workshop Proceedings of the 11th International Workshop on Trust in Agent Societies, TRUST 2008, (at AAMAS 2008).

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Abstract:
We propose a concept that combines the cognitive with the computational approaches to experience-based trust reasoning. We emphasize that a cognitive component is vital for computationally modeling trust. At the same time, we recognize the predictive nature of trust. This suggests a combination of the different approaches. The idea is to introduce a cognitive component that produces factual positive and factual negative experiences. These experiences can then be used in a predictive component to estimate the future behavior of an agent. The components are combined in a modular way which allows the replacement of them independently. It further facilitates the integration of already existing trust update algorithms. In this work, we analyze the chain of trust processing for the concept step by step. This results in a concise survey on challenges for experience-based trust models.

Bibtex:
@inProceedings{staab08combiningExtended,
author = {Eugen Staab and Thomas Engel},
title = {Combining Cognitive with Computational Trust Reasoning},
booktitle = {Trust in Agent Societies},
year = {2008},
month = {December},
pages = {99–111},
publisher = {Springer Verlag},
editor = {Rino Falcone and Suzanne Barber and Jordi Sabater and Munindar Singh},
series = {{LNCS (LNAI)}},
volume = {5396},
isbn = {978-3-540-92802-7},
}

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