Abstract:
In automated and unsupervised multi-agent environments, where
agents act on behalf of their stakeholders, the measurement and computation of
trust is a key building block upon which all business interaction scenarios rely.
In environments, where the individual and independent calculation of trustworthiness
values for future negotiation partners is desired, flexible algorithms and
models imitating human reasoning are crucial. This paper introduces a trust
evaluation model that imitates human reasoning by using fuzzy logic concepts.
Furthermore, post-interaction processes such as business interaction reviews
and credibility adjustment are used to continuously build and refine an information
repository for future trust evaluation processes. Fuzzy logic offers a
mathematical approach encompassing uncertainty and tolerance of imprecise
data, and combined with our highly customizable model, it allows to meet the
security needs of different stakeholders.
