A Language for Trust Modelling

作者:Muller Tim*; Zhang Jie; Liu Yang
来源:Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshops, 2016-05-09 to 2016-05-10.
DOI:10.1007/978-3-319-46840-2_1

摘要

The computational trust paradigm supposes that it is possible to quantify trust relations that occur within some software systems. The paradigm covers a variety of trust systems, such as trust management systems, reputation systems and trust-based security systems. Different trust systems have different assumptions, and various trust models have been developed on top of these assumptions Typically, trust models are incomparable, or even mutually unintelligible; as a result their evaluation may be circular or biased. We propose a unified language to express the trust models and trust systems. Within the language, all trust models are comparable, and the problem of circularity or bias is mitigated. Moreover, given a complete set of assumptions in the language, a unique trust model is defined.

  • 出版日期2016
  • 单位南阳理工学院

全文