Browsing by Author "Aydoğan, Reyhan"
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The 13th international automated negotiating agent competition challenges and results
Aydoğan, Reyhan; Baarslag, T.; Fujita, K.; Hoos, H. H.; Jonker, C. M.; Mohammad, Y.; Renting, B. M. (Springer, 2023)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. ... -
An actor-critic reinforcement learning approach for bilateral negotiation
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 ... -
Actor-critic reinforcement learning for bidding in bilateral negotiation
Arslan, Furkan; Aydoğan, Reyhan (TÜBİTAK, 2022)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 ... -
Adapting bilateral networks to monocular depth estimation for real-time inference
Monocular Depth Estimation (MDE) is a fundamental computer vision application area for many industry-related advances. Due to its deployment needs, the inference time of the depth estimation algorithm also plays a crucial ... -
Agent based negotiation for incentive driven privacy preserving information sharing
Razeghi, Yousef (2019-08-20)While customizing their services, companies usually use their users’ data. According to the new regularization, it is required to get the permission of their users to be able to store and share their users’ private data. ... -
AhBuNe agent: Winner of the eleventh international automated negotiating agent competition (ANAC 2020)
Yıldırım, Ahmet Burak; Sunman, Nezih; Aydoğan, Reyhan (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 ... -
Algorithm selection and combining multiple learners for residential energy prediction
Güngör, Onat; Akşanlı, B.; Aydoğan, Reyhan (Elsevier, 2019-10)Balancing supply and demand management in energy grids requires knowing energy consumption in advance. Therefore, forecasting residential energy consumption accurately plays a key role for future energy systems. For this ... -
Alternating offers protocols for multilateral negotiation
Aydoğan, Reyhan; Festen, D.; Hindriks, K. V.; Jonker, C. M. (Springer International Publishing, 2017)This paper presents a general framework for multilateral turn-taking protocols and two fully specified protocols namely Stacked Alternating Offers Protocol (SAOP) and Alternating Multiple Offers Protocol (AMOP). In SAOP, ... -
ANAC 2017: Repeated multilateral negotiation league
Aydoğan, Reyhan; Fujita, K.; Baarslag, T.; Jonker, C. M.; Ito, T. (Springer, 2021)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 ... -
ANAC 2018: Repeated multilateral negotiation league
Aydoğan, Reyhan; Fujita, K.; Baarslag, T.; Jonker, C. M.; Ito, T. (Springer, 2020)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 ... -
Artificial intelligence techniques for conflict resolution
Aydoğan, Reyhan; Baarslag, T.; Gerding, E. (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, ... -
Artificial intelligence tools for academic management: assigning students to academic supervisors
Sanchez-Anguix, V.; Chalumuri, R.; Alberola, J. M.; Aydoğan, Reyhan (International Academy of Technology, Education and Development (IATED), 2020)In the last few years, there has been a broad range of research focusing on how learning should take place both in the classroom and outside the classroom. Even though academic dissertations are a vital step in the academic ... -
Associative and frequentist opponent modeling approaches in automated bilateral negotiations
This thesis mainly focuses on the problem of learning opponent's preferences during the negotiation in bilateral automated negotiation in which agents negotiate with each other to reach an agreement. Accordingly, it addresses ... -
Automated negotiating agents competition (ANAC)
Jonker, C. M.; Aydoğan, Reyhan; Baarslag, T.; Fujita, K.; Ito, T.; Hindiks, K. (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 ... -
Bargaining chips: Coordinating one-to-many concurrent composite negotiations
Baarslag, T.; Elfrink, T.; Nassiri Mofakham, F.; Koça, T.; Kaisers, M.; Aydoğan, Reyhan (ACM, 2021)This study presents Bargaining Chips: a framework for one-to-many concurrent composite negotiations, where multiple deals can be reached and combined. Our framework is designed to mirror the salient aspects of real-life ... -
Bidding support by the pocket negotiator improves negotiation outcomes
Aydoğan, Reyhan; Jonker, C. M. (Springer, 2023)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 ... -
Black-box test case selection by relating code changes with previously fixed defects
Software continuously changes to address new requirements and to fix defects. Regression testing is performed to ensure that the applied changes do not adversely affect existing functionality. The increasing number of test ... -
Bottom-up approaches to achieve Pareto optimal agreements in group decision making
Sanchez-Anguix, V.; Aydoğan, Reyhan; Baarslag, T.; Jonker, C. (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, ... -
Campaign participation prediction with deep learning
Ayvaz, Demet; Aydoğan, Reyhan; Akçura, Munir Tolga; Şensoy, Murat (Elsevier, 2021-08)Increasingly, on-demand nature of customer interactions put pressure on companies to build real-time campaign management systems. Instead of having managers to decide on the campaign rules, such as, when, how and whom to ... -
Can social agents efficiently perform in automated negotiation?
Sanchez-Anguix, V.; Tunalı, O.; Aydoğan, Reyhan; Julian, V. (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 ...
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