Advice and trust in games of choice

Abstract

This work provides a game theoretic framework through which one can study the different trust and mitigation strategies a decision maker can employ when soliciting advice or input from a potentially self-interested third-party. The framework supports a single decision maker's interacting with an arbitrary number of either honest or malicious (and malicious in varying ways) advisors. We include some preliminary results on the analysis of this framework in some constrained instances and propose several avenues of future work.