|Títol||Towards an inductive algorithm for learning trust alignment|
|Publication Type||Conference Paper|
|Year of Publication||2009|
|Authors||Koster A, Sabater-Mir J., Schorlemmer M|
|Conference Name||Student Session - European Agent Systems Summer School|
|Conference Location||Torino, Italy|
Knowing which agents to trust is an important problem in open multi-agent systems. A way to help resolve this problem is by allowing agents to relay information about trust to each other. We argue trust is a subjective phenomenon and therefore needs aligning. We present a mathematical framework for communicating about trust in terms of interactions. Based on this framework we present an algorithm based on clustering and inductive logic programming techniques to align agents' trust models.
- Quant a IIIA