@conference {3631, title = {Towards an inductive algorithm for learning trust alignment}, booktitle = {Student Session - European Agent Systems Summer School}, volume = {47}, year = {2009}, month = {02/09/2009}, pages = {5-11}, publisher = {Universit{\"a}t Bayreuth}, organization = {Universit{\"a}t Bayreuth}, address = {Torino, Italy}, abstract = {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{\textquoteright} trust models.}, author = {Andrew Koster and J. Sabater-Mir and Marco Schorlemmer}, editor = {Tina Balke, Serena Villata, Daniel Villatoro} }