Solver agent: Towards emotional and opponent-aware agent for human-robot negotiation
Type :
Conference paper
Publication Status :
Published
Access :
restrictedAccess
Abstract
Negotiation is one of the crucial processes for resolving conflicts between parties. In automated negotiation, agent designers mostly take opponent's offers and the remaining time into account while designing their strategies. While designing a negotiating agent interacting with a human directly, other information such as opponent's emotional changes during the negotiation can establish a better interaction and reach an admissible settlement for joint interests. Accordingly, this paper proposes a bidding strategy for humanoid robots, which incorporates their opponents' emotional states and awareness of the agent's changing behavior.
Source :
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Date :
2021
Volume :
3
Publisher :
International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
URI
http://hdl.handle.net/10679/8324https://www.ifaamas.org/Proceedings/aamas2021/forms/contents.htm
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