Abstract
With burgeoning interest in the industry and among citizens about the potential of human-AI partnerships [10], academic researchers have been pushing the frontier of new modalities of peer-level and ad-hoc human-agent collaboration [5, 11]. We are particularly interested in research on agents representing human users in negotiating deals with other human and autonomous agents [9]. We present the design motivation and critical components of the conversational aspect of our agents entry into the Human-Agent League of the Automated Negotiation Agent Competition. We explore how language can be used to promote human’s likeability, even in the domain of a competitive negotiation.
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Notes
- 1.
This protocol is a variation of the Strict alteration protocol, in which agents take alternate turns and in each turn an agent selects one resource from the set of resources not yet allocated. Selected resource is removed from the negotiation set [2].
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Peasley, D., Xu, B., Abuhaimed, S., Sen, S. (2023). Design of Conversational Components to Facilitate Human-Agent Negotiation. In: Aydoğan, R., Criado, N., Lang, J., Sanchez-Anguix, V., Serramia, M. (eds) PRIMA 2022: Principles and Practice of Multi-Agent Systems. PRIMA 2022. Lecture Notes in Computer Science(), vol 13753. Springer, Cham. https://doi.org/10.1007/978-3-031-21203-1_38
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