Browsing Faculty of Engineering by OzU Authors "Aydoğan, Reyhan"
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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 ... -
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 ... -
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 ... -
The challenge of negotiation in the game of diplomacy
de Jonge, D.; Baarslag, T.; Aydoğan, Reyhan; Jonker, C.; Fujita, K.; Ito, T. (Springer Nature, 2019)The game of Diplomacy has been used as a test case for complex automated negotiations for a long time, but to date very few successful negotiation algorithms have been implemented for this game. We have therefore decided ... -
Challenges and main results of the automated negotiating agents competition (ANAC) 2019
Aydoğan, Reyhan; Baarslag, T.; Fujita, K.; Mell, J.; Gratch, J.; de Jonge, D.; Mohammad, Y.; Nakadai, S.; Morinaga, S.; Osawa, H.; Aranha, C.; Jonker, C. M. (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. ... -
Collective voice of experts in multilateral negotiation
Güneş, Taha Doğan; Arditi, Emir; Aydoğan, Reyhan (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 ... -
Conflict resolution in decision making - Second international workshop, COREDEMA 2016, The Hague, The Netherlands, August 29-30, 2016, Revised Selected Papers
Aydoğan, Reyhan (Springer International Publishing, 2017) -
A decentralized token-based negotiation approach for multi-agent path finding
Eran, Cihan; Keskin, Mehmet Onur; Cantürk, Furkan; Aydoğan, Reyhan (Springer, 2021)This paper introduces a negotiation approach to solve the Multi-Agent Path Finding problem. The approach aims to achieve a good trade-off between the privacy of the agents and the effectiveness of solutions. Accordingly, ... -
Deep reinforcement learning for acceptance strategy in bilateral negotiations
Razeghi, Yousef; Yavuz, Ozan; Aydoğan, Reyhan (TÜBİTAK, 2020)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 ... -
Deniz: A robust bidding strategy for negotiation support systems
Jonker, C. M.; Aydoğan, Reyhan (Springer, 2021)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 ... -
Effect of awareness of other side’s gain on negotiation outcome, emotion, argument, and bidding behavior
Güngör, Onat; Çakan, Umut; Aydoğan, Reyhan; Öztürk, P. (Springer, 2021)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 ... -
EXPECTATION: Personalized explainable artificial intelligence for decentralized agents with heterogeneous knowledge
Calvaresi, D.; Ciatto, G.; Najjar, A.; Aydoğan, Reyhan; Van der Torre, L.; Omicini, A.; Schumacher, M. (Springer, 2021)Explainable AI (XAI) has emerged in recent years as a set of techniques and methodologies to interpret and explain machine learning (ML) predictors. To date, many initiatives have been proposed. Nevertheless, current ...
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