Adaptive Conceding Strategies for Negotiating Agents Based on Interval Type-2 Fuzzy Logic

In human-agent automated negotiations, one of crucial problems is how a negotiating agent updates conceding strategies in the light of the new information during the course of a negotiation. To this end, this paper proposes a novel model of a seller negotiating agent, which can be used in human-agent negotiations. More specifically, it can dynamically change its conceding strategies according to the remaining time and opponents' cooperative degree. We use type-2 fuzzy rules to determine such changes because the rules of this kind can well reflect uncertain information in human-computer negotiations. Finally, our agent is evaluated by both agent-agent and human-agent experiments.