A novel strategy for complex human-agent negotiation

The problem of human-agent negotiation is still not well understood, mainly because human players are not fully rational from game theory’s perspective and thus the interaction in such context is hard to model using traditional ways. This paper proposes a novel strategy for complex human-agent negotiation – that is – multiple issues, unknown opponent preferences as well as real-time constraints. This novel strategy is able to model opponent behaviour during negotiation session and make reasonable decisions to establish agreements with human players. We analyze the results of extensive experiments, and show that it is able to outperform human counterparts, in both high and low conflictive negotiation scenarios.