首页|Taking into Account Opponent’s Arguments in Human-Agent Negotiations
Taking into Account Opponent’s Arguments in Human-Agent Negotiations
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NETL
NSTL
Assoc Computing Machinery
Autonomous negotiating agents, which can interact with other agents, aim to solve decision-making problemsinvolving participants with conflicting interests. Designing agents capable of negotiating with human partnersrequires considering some factors, such as emotional states and arguments. For this purpose, we introducean extended taxonomy of argument types capturing human speech acts during the negotiation. We proposean argument-based automated negotiating agent that can extract human arguments from a chat-basedenvironment using a hierarchical classifier. Consequently, the proposed agent can understand the receivedarguments and adapt its strategy accordingly while negotiating with its human counterparts. We initiallyconducted human-agent negotiation experiments to construct a negotiation corpus to train our classifier.According to the experimental results, it is seen that the proposed hierarchical classifier successfully extractedthe arguments from the given text. Moreover, we conducted a second experiment where we tested theperformance of the designed negotiation strategy considering the human opponent’s arguments and emotions.Our results showed that the proposed agent beats the human negotiator and gains higher utility than thebaseline agent.
NETL
NSTL
Assoc Computing Machinery
