Participants in dialogical argumentation often make strategic choices of move, for example to maximize the probability that they will persuade the other opponents. Multiple dimensions of information about the other agents (e.g., the belief and likely emotional response that the other agents might have in the arguments) might be used to make this strategic choice. To support this, we present a framework with implementation for multi-criteria decision making for strategic argumentation. We provide methods to improve the computational viability of the framework, and analyze these methods theoretically and empirically. We finally present decision rules supported by the psychology literature and evidence using human experiments.
展开▼