Browsing by Author "Aydoğan, Reyhan"
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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. ... -
Clothing image retrieval with triplet capsule networks
Kınlı, Osman Furkan (2019-08-19)Clothing image retrieval has become more important after some major developments in Computer Science and the emergence of e-commerce. Recent studies generally attack this problem by using Convolutional Neural Networks ... -
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) -
Conflict-based negotiation strategy for human-agent negotiation
Keskin, Mehmet Onur; Buzcu, Berk; Aydoğan, Reyhan (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 ... -
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 ... -
The effect of appearance of virtual agents in human-agent negotiation
Türkgeldi, Berkay; Özden, Cana Su; Aydoğan, Reyhan (MDPI, 2022-09)Artificial Intelligence (AI) changed our world in various ways. People start to interact with a variety of intelligent systems frequently. As the interaction between human and AI systems increases day by day, the factors ... -
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 ... -
Effect of embodiment in human-agent negotiations
With the current advancement in artificial intelligence, intelligent systems interacting with humans are becoming more prevalent in our lives. One of the challenges is building socially intelligent agents who can effectively ... -
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 ... -
Explanation-based negotiation protocol for nutrition virtual coaching
Buzcu, Berk; Varadhajaran, V.; Tchappi, I.; Najjar, A.; Calvaresi, D.; Aydoğan, Reyhan (ACM, 2023)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 ... -
Explorations on inverse reinforcement learning for the analysis of motor control and cognitive decision making mechanisms of the brain
Reinforcement Learning is a framework for generating optimal policies given a task and a reward/punishment structure. Likewise, Inverse Reinforcement Learning, as the name suggests, is used for recovering the reasoning ... -
Feature extraction for enhancing data-driven urban building energy models
Bolluk, Muhammed Said; Seyis, Senem; Aydoğan, Reyhan (European Council on Computing in Construction (EC3), 2023)Building energy demand assessment plays a crucial role in designing energy-efficient building stocks. However, most studies adopting a data-driven approach feel the deficiency of datasets with building-specific information ... -
The fifth automated negotiating agents competition (ANAC 2014)
Fujita, K.; Aydoğan, Reyhan; Baarslag, T.; Ito, T.; Jonker, C. (Springer Science+Business Media, 2016)In May 2014, we organized the Fifth International Automated Negotiating Agents Competition (ANAC 2014) in conjunction with AAMAS 2014. ANAC is an international competition that challenges researchers to develop a successful ... -
Formal modelling and verification of a multi-agent negotiation approach for airline operations control
Bouarfa, S.; Aydoğan, Reyhan; Sharpanskykh, A. (Springer, 2021-02-12)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 ... -
Fully autonomous trustworthy unmanned aerial vehicle teamwork: A research guideline using level 2 blockchain
Buzcu, Berk; Özgün, Mehmet Mert; Gürcan, Ö.; Aydoğan, Reyhan (IEEE, 2023-02)The vast range of possible fully autonomous multiunmanned aerial vehicle (multi-UAV) operations is creating a new and expanding market where technological advances are happening at a breakneck pace. The integration of UAVs ... -
Fusion of subjective opinions through behavior estimation
Aycı, Gönül (2016-01)Information is significantly important in almost all decision-making process. A decision- maker agent collects information from diverse sources. Thus, it should correctly fuse opinions, which are shared from different ...
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