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Automated negotiating agents competition (ANAC)
(AAAI press, 2017)
The annual International Automated Negotiating Agents Competition (ANAC) is used by the automated negotiation research community to benchmark and evaluate its work and to challenge itself. The benchmark problems and ...
Rethinking frequency opponent modeling in automated negotiation
(Springer International Publishing, 2017)
Frequency opponent modeling is one of the most widely used opponent modeling techniques in automated negotiation, due to its simplicity and its good performance. In fact, it outperforms even more complex mechanisms like ...
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 ...
Collective voice of experts in multilateral negotiation
(Springer International Publishing, 2017)
Inspired from the ideas such as “algorithm portfolio”, “mixture of experts”, and “genetic algorithm”, this paper presents two novel negotiation strategies, which combine multiple negotiation experts to decide what to bid ...
Bottom-up approaches to achieve Pareto optimal agreements in group decision making
(Springer Nature, 2019-11)
In this article, we introduce a new paradigm to achieve Pareto optimality in group decision-making processes: bottom-up approaches to Pareto optimality. It is based on the idea that, while resolving a conflict in a group, ...
Artificial intelligence techniques for conflict resolution
(Springer, 2021-08)
Conflict resolution is essential to obtain cooperation in many scenarios such as politics and business, as well as our day to day life. The importance of conflict resolution has driven research in many fields like anthropology, ...
Can social agents efficiently perform in automated negotiation?
(MDPI, 2021-07)
In the last few years, we witnessed a growing body of literature about automated negotiation. Mainly, negotiating agents are either purely self-driven by maximizing their utility function or by assuming a cooperative stance ...
Time series predictive models for opponent behavior modeling in bilateral negotiations
(Springer, 2023)
In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the ...
AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)
(Springer, 2023)
The International Automated Negotiating Agent Competition introduces a new challenge each year to facilitate the research on agent-based negotiation and provide a test benchmark. ANAC 2020 addressed the problem of designing ...
Conflict-based negotiation strategy for human-agent negotiation
(Springer, 2023-12)
Day by day, human-agent negotiation becomes more and more vital to reach a socially beneficial agreement when stakeholders need to make a joint decision together. Developing agents who understand not only human preferences ...
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