Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques

T Baarslag, MJC Hendrikx, KV Hindriks… - Autonomous Agents and …, 2016 - Springer
A negotiation between agents is typically an incomplete information game, where the agents
initially do not know their opponent's preferences or strategy. This poses a challenge, as …

Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players

C March - Journal of Economic Psychology, 2021 - Elsevier
Artificial intelligence (AI) is starting to pervade the economic and social life. This renders
strategic interactions between humans and artificial agents more and more common. At the …

Alternating offers protocols for multilateral negotiation

R Aydoğan, D Festen, KV Hindriks… - Modern approaches to …, 2017 - Springer
This paper presents a general framework for multilateral turn-taking protocols and two fully
specified protocols namely Stacked Alternating Offers Protocol (SAOP) and Alternating …

Reward-based negotiating agent strategies

R Higa, K Fujita, T Takahashi, T Shimizu… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
This study proposed a novel reward-based negotiating agent strategy using an issue-based
represented deep policy network. We compared the negotiation strategies with …

Lifecycle model of a negotiation agent: A survey of automated negotiation techniques

U Kiruthika, TS Somasundaram, SKS Raja - Group Decision and …, 2020 - Springer
Negotiation is a complex process. The decision making involved in several stages of
negotiation makes its automation complex. In this paper we present a lifecycle model of a …

Negotiating with other minds: the role of recursive theory of mind in negotiation with incomplete information

H De Weerd, R Verbrugge, B Verheij - Autonomous Agents and Multi …, 2017 - Springer
Abstract Theory of mind refers to the ability to reason explicitly about unobservable mental
content of others, such as beliefs, goals, and intentions. People often use this ability to …

CaSiNo: A corpus of campsite negotiation dialogues for automatic negotiation systems

K Chawla, J Ramirez, R Clever, G Lucas, J May… - arXiv preprint arXiv …, 2021 - arxiv.org
Automated systems that negotiate with humans have broad applications in pedagogy and
conversational AI. To advance the development of practical negotiation systems, we present …

An autonomous negotiating agent framework with reinforcement learning based strategies and adaptive strategy switching mechanism

A Sengupta, Y Mohammad, S Nakadai - arXiv preprint arXiv:2102.03588, 2021 - arxiv.org
Despite abundant negotiation strategies in literature, the complexity of automated
negotiation forbids a single strategy from being dominant against all others in different …

[PDF][PDF] RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents.

J Bakker, A Hammond, D Bloembergen, T Baarslag - AAMAS, 2019 - ir.cwi.nl
Negotiation is a complex problem, in which the variety of settings and opponents that may
be encountered prohibits the use of a single predefined negotiation strategy. Hence the …

Social preferences toward humans and machines: a systematic experiment on the role of machine payoffs

A von Schenk, V Klockmann… - … on Psychological Science, 2023 - journals.sagepub.com
There is growing interest in the field of cooperative artificial intelligence (AI), that is, settings
in which humans and machines cooperate. By now, more than 160 studies from various …