Inductively generated trust alignments based on shared interactions

In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, the agents do not necessarily use similar trust models, leading to semantic differences between trust evaluations in the different agents. We show how to form a trust alignment by considering the interactions agents share. We describe a method, using inductive learning algorithms, to accomplish this alignment.