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A machine learning approach for mechanism selection in complex negotiations
(Springer Nature, 2018-04)
Automated negotiation mechanisms can be helpful in contexts where users want to reach mutually satisfactory agreements about issues of shared interest, especially for complex problems with many interdependent issues. A ...
The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
(IEEE, 2019)
We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the ...
Results of the first annual human-agent league of the automated negotiating agents competition
(The ACM Digital Library, 2018)
We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This ...
Nova: Value-based negotiation of norms
(ACM, 2021-08-01)
Specifying a normative multiagent system (nMAS) is challenging, because different agents often have conflicting requirements. Whereas existing approaches can resolve clear-cut conflicts, tradeoffs might occur in practice ...
Challenges and main results of the automated negotiating agents competition (ANAC) 2019
(Springer, 2020)
The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. ...
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