Researchers from social sciences and economics consider trust a requirement for successful
cooperation between people. It helps to judge the risk in situations in which a person has the
choice to rely on another one. In the future technical systems will face similar situations.
Assume for example self-organised robots which reload some goods at a large logistics centre
together. For this they will need a mechanism like trust. This book gives the reader tools to
understand trust and to introduce a trust mechnism into own applications. The tools include
generic requirements for own trust mechanisms and the Enfident Model a conceptual
implementation-independent model of trust. These theoretical tools are complemented with
state-of-the-art algorithms from statistical relational learning. Finally as an example all
this is applied to cooperating cognitive vehicles. As trust is a social phenomenon this
evaluation features a virtual society of vehicles which cooperate in a vehicular network. It
shows that the postulated requirements and the Enfident Model lead to intuitive and consistent
results.
