Searched for: author%3A%22Aydo%C4%9Fan%2C+Reyhan%22
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Magnini, Matteo (author), Ciatto, Giovanni (author), Cantürk, Furkan (author), Aydoğan, Reyhan (author), Omicini, Andrea (author)
Background and objective:This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A trade-off among (potentially) conflictual requirements must be taken into account when designing these kinds of systems, there...
journal article 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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Buzcu, Berk (author), Varadhajaran, Vanitha (author), Tchappi, Igor (author), Najjar, Amro (author), Calvaresi, Davide (author), Aydoğan, Reyhan (author)
People’s awareness about the importance of healthy lifestyles is rising. This opens new possibilities for personalized intelligent health and coaching applications. In particular, there is a need for more than simple recommendations and mechanistic interactions. Recent studies have identified nutrition virtual coaching systems (NVC) as a...
conference paper 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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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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Aydoğan, Reyhan (author), Baarslag, T. (author), Fujita, Katsuhide (author), Hoos, Holger H. (author), Jonker, C.M. (author), Mohammad, Yasser (author), Renting, B.M. (author)
An international competition for negotiating agents has been organized for years to facilitate research in agent-based negotiation and to encourage the design of negotiating agents that can operate in various scenarios. The 13th International Automated Negotiating Agents Competition (ANAC 2022) was held in conjunction with IJCAI2022. In...
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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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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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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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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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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Jonker, C.M. (author), Aydoğan, Reyhan (author)
This paper presents the Deniz agent that has been specifically designed to support human negotiators in their bidding. The design of Deniz is done with the criteria of robustness and the availability of small data, due to a small number of negotiation rounds in mind. Deniz’s bidding strategy is based on an existing optimal concession strategy...
conference paper 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), Fujita, Katsuhide (author), Baarslag, T. (author), Jonker, C.M. (author), Ito, Takayuki (author)
The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human negotiators do, agents are supposed to learn from their previous negotiations and improve their negotiation skills over...
conference paper 2021
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Doğru, Anil (author), Bouarfa, Soufiane (author), Arizar, Ridwan (author), Aydoğan, Reyhan (author)
Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant impact on aircraft operations. Though supporting aircraft maintenance engineers detect and classify a wide range of...
journal article 2020
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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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Bouarfa, Soufiane (author), Doğru, Anıl (author), Arizar, Ridwan (author), Aydoğan, Reyhan (author), Serafico, Joselito (author)
Deep learning can be used to automate aircraft maintenance visual inspection. This can help increase the accuracy of damage detection, reduce aircraft downtime, and help prevent inspection accidents. The objective of this paper is to demonstrate the potential of this method in supporting aircraft engineers to automatically detect aircraft...
conference paper 2020
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Aydoğan, Reyhan (author), Baarslag, T. (author), Fujita, Katsuhide (author), Mell, Johnathan (author), Gratch, Jonathan (author), de Jonge, Dave (author), Mohammad, Yasser (author), Nakadai, Shinji (author), Morinaga, Satoshi (author), Osawa, Hirotaka (author), Aranha, Claus (author), Jonker, C.M. (author)
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. To facilitate the research on agent-based negotiation, the organizers introduce new research challenges every year. ANAC...
conference paper 2020
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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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