An Adaptive Agent Model Estimating Human Trust in Information Sources

Autor:	Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
Přispěvatelé:	Baeza-Yates, R., Lang, J., Mitra, S., Parsons, S., Pasi, G.
Předmět:	Intelligent agent business.industry Computer science Order (business) Artificial intelligence computer.software_genre business Machine learning Adaptation (computer science) computer
Zdroj:	Vrije Universiteit Amsterdam Hoogendoorn, M, Jaffry, S W & Treur, J 2009, An Adaptive Agent Model Estimating Human Trust in Information Sources . in R Baeza-Yates, J Lang, S Mitra, S Parsons & G Pasi (eds), Proceedings of the 9th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'09 . IEEE Computer Society Press, pp. 458-465, the 9th IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 1/01/09 .
Popis:	For an information agent to support a human in a personalized way, having a model of the trust the human has in information sources may be essential. As humans differ a lot in their characteristics with respect to trust, a trust model crucially depends on specific personalized values for a number of parameters. This paper contributes an adaptive agent model for trust with parameters that are automatically tuned over time to a specific individual. To obtain the adaptation, four different techniques have been developed. In order to evaluate these techniques, simulations have been performed. The results of these were formally verified.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43fa76a96ad0be61e3d4f9348a8d52d6 https://research.vu.nl/en/publications/550d1ce6-1305-4b71-b1e3-3b6d0079e517 Zobrazit plný text záznamu