Proceedings of the Annual Meeting of the Cognitive Science Society

We start with the distinction of outcome- and belief-based Bayesian models of the sequential update of agents beliefs andsubjective reliability of sources (trust). We then focus on discussing the influential Bayesian model of belief-based trustupdate by Eric Olsson, which models dichotomic events and explicitly represents anti-reliability. After sketching somedisastrous recent results for this perhaps most promising model of belief update, we show new simulation results for thetemporal dynamics of learning belief with and without trust update and with and without communication. The resultsseem to shed at least a somewhat more positive light on the communicating-and-trust-updating agents. This may be a lightat the end of the tunnel of belief-based models of trust updating, but the interpretation of the clear findings is much lessclear.