Searched for: subject%3A%22Negotiation%22
(1 - 19 of 19)
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Keskin, M. Onur (author), Cantürk, Furkan (author), Eran, Cihan (author), Aydoğan, Reyhan (author)
This paper introduces a negotiation framework to solve the Multi-Agent Path Finding (MAPF) Problem for self-interested agents in a decentralized fashion. The framework aims to achieve a good trade-off between the privacy of the agents and the effectiveness of solutions. Accordingly, a token-based bilateral negotiation protocol and two...
journal article 2024
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Keskin, Mehmet Onur (author), Buzcu, Berk (author), Aydoğan, Reyhan (author)
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 but also attitudes is a significant prerequisite for this kind of interaction. Studies on opponent modeling are...
journal article 2023
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Aydoğan, Reyhan (author), Jonker, C.M. (author)
This paper presents the negotiation support mechanisms provided by the Pocket Negotiator (PN) and an elaborate empirical evaluation of the economic decision support (EDS) mechanisms during the bidding phase of negotiations as provided by the PN. Some of these support mechanisms are offered actively, some passively. With passive support we...
conference paper 2023
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Aydoğan, Reyhan (author), Jonker, C.M. (author)
This paper introduces a dependency analysis and a categorization of conceptualized and existing economic decision support mechanisms for negotiation. The focus of our survey is on economic decision support mechanisms, although some behavioural support mechanisms were included, to recognize the important work in that area. We categorize...
conference paper 2023
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Yildirim, Ahmet Burak (author), Sunman, Nezih (author), Aydoğan, Reyhan (author)
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 effective agents that do not know their users’ complete preferences in addition to their opponent’s negotiation strategy...
conference paper 2023
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Yesevi, Gevher (author), Keskin, M.O. (author), Doğru, Anıl (author), Aydoğan, Reyhan (author)
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 agent so that it can decide its next move wisely. Accordingly, this paper addresses predicting the opponent’s coming...
conference paper 2023
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Arslan, Furkan (author), Aydoğan, Reyhan (author)
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is a conflict of interests. Instead of designing a hand-crafted decision-making module, this work proposes a novel bidding...
journal article 2022
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Bouarfa, Soufiane (author), Aydoğan, Reyhan (author), Sharpanskykh, Alexei (author)
This paper proposes and evaluates a new airline disruption management strategy using multi-agent system modelling, simulation, and verification. This new strategy is based on a multi-agent negotiation protocol and is compared with three airline strategies based on established industry practices. The application concerns Airline Operations...
journal article 2021
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Aydoğan, Reyhan (author), Baarslag, T. (author), Gerding, Enrico (author)
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, social science, psychology, mathematics, biology and, more recently, in artificial intelligence. Computer science...
contribution to periodical 2021
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Sanchez-Anguix, Victor (author), Tunalı, Okan (author), Aydoğan, Reyhan (author), Julian, Vicente (author)
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 by all parties involved in the negotiation. We argue that, while optimizing one’s utility function is essential, agents...
journal article 2021
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Güngör, Onat (author), Çakan, Umut (author), Aydoğan, Reyhan (author), Özturk, Pinar (author)
Designing agents aiming to negotiate with human counterparts requires additional factors. In this work, we analyze the main elements of human negotiations in a structured human experiment. Particularly, we focus on studying the effect of negotiators being aware of the other side’s gain on the bidding behavior and the negotiation outcome. We...
conference paper 2021
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Aydoğan, Reyhan (author), Kafali, Özgür (author), Arslan, Furkan (author), Jonker, C.M. (author), Singh, Munindar P. (author)
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 among alternative nMAS specifications with no apparent resolution. To produce an nMAS specification that is acceptable to...
journal article 2021
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Berk Yavuz, Celal Ozan (author), Süslü, Çağil (author), Aydoğan, Reyhan (author)
In a supply chain environment, supply chain entities need to make joint decisions on the transaction of goods under the issues quantity, delivery time and unit price in order to procure/sell goods at right quantities and time while minimizing the transaction costs. This paper presents our negotiating agent designed for Supply Chain Management...
conference paper 2020
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Razeghi, Yousef (author), Yavuz, Ozan (author), Aydoğan, Reyhan (author)
This paper introduces an acceptance strategy based on reinforcement learning for automated bilateral negotiation, where negotiating agents bargain on multiple issues in a variety of negotiation scenarios. Several acceptance strategies based on predefined rules have been introduced in the automated negotiation literature. Those rules mostly...
journal article 2020
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Sanchez-Anguix, Victor (author), Aydoğan, Reyhan (author), Baarslag, T. (author), Jonker, C.M. (author)
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, individuals may trust some members more than others; thus, they may be willing to cooperate and share more information...
journal article 2019
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Mell, Johnathan (author), Gratch, Jonathan (author), Aydoğan, Reyhan (author), Baarslag, Tim (author), Jonker, C.M. (author)
We present the results of the 2<sup>nd</sup> 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 likeability-success tradeoff in negotiations. By examining a series of repeated negotiations, actions may affect...
conference paper 2019
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Aydoğan, Reyhan (author), Fujita, Katsuhide (author), Baarslag, T. (author), Jonker, C.M. (author), Ito, Takayuki (author)
This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper...
conference paper 2019
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Mell, Johnathan (author), Gratch, Jonathan (author), Baarslag, T. (author), Aydoğan, Reyhan (author), Jonker, C.M. (author)
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 has succeeded in pushing the envelope in agent design, and creating a corpus of useful human-agent interaction data. Our...
conference paper 2018
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Aydoğan, Reyhan (author), Marsa Maestre, I. (author), Klein, Mark (author), Jonker, C.M. (author)
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 variety of automated negotiation mechanisms have been proposed in the literature. The effectiveness of those mechanisms, however...
journal article 2018
Searched for: subject%3A%22Negotiation%22
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