Browsing by OzU Authors "Aydoğan, Reyhan"
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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 ... -
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 ... -
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 ... -
A general-purpose protocol for multi-agent based explanations
Ciatto, G.; Magnini, M.; Buzcu, Berk; Aydoğan, Reyhan; Omicini, A. (Springer, 2023)Building on prior works on explanation negotiation protocols, this paper proposes a general-purpose protocol for multi-agent systems where recommender agents may need to provide explanations for their recommendations. The ... -
An introduction to the pocket negotiator: a general purpose negotiation support system
Jonker, C. M.; Aydoğan, Reyhan; Baarslag, T.; Broekens, j.; Detweiler, C. A.; Hindriks, K. V.; Huldtgren, A.; Pasman, W. (Springer International Publishing, 2017)The Pocket Negotiator (PN) is a negotiation support system developed at TU Delft as a tool for supporting people in bilateral negotiations over multi-issue negotiation problems in arbitrary domains. Users are supported in ... -
Let’s negotiate with jennifer! towards a speech-based human-robot negotiation
Aydoğan, Reyhan; Keskin, Onur; Çakan, Onur (Springer, 2021)Social robots are becoming prevalent in our society, and most of the time, they need to interact with humans in order to accomplish their tasks. Negotiation is one of the inevitable processes they need to be involved to ... -
The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
Mell, J.; Gratch, J.; Aydoğan, Reyhan; Baarslag, T.; Jonker, C. M. (IEEE, 2019)We present the results of the 2nd 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 ... -
A machine learning approach for mechanism selection in complex negotiations
Aydoğan, Reyhan; Marsa-Maestre, I.; Klein, M.; Jonker, C. M. (Springer Nature, 2018-04)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 ... -
Machine learning to predict junction temperature based on optical characteristics in solid-state lighting devices: A test on WLEDs
Azarifar, Mohammad; Ocaksönmez, Kerem; Cengiz, Ceren; Aydoğan, Reyhan; Arık, Mehmet (MDPI, 2022-08)While junction temperature control is an indispensable part of having reliable solid-state lighting, there is no direct method to measure its quantity. Among various methods, temperature-sensitive optical parameter-based ... -
Metrics for evaluating explainable recommender systems
Hulstijn, J.; Tchappi, I.; Najjar, A.; Aydoğan, Reyhan (Springer, 2023)Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, ... -
Misclassification risk and uncertainty quantification in deep classifiers
Şensoy, Murat; Saleki, Maryam; Julier, S.; Aydoğan, Reyhan; Reid, J. (IEEE, 2021)In this paper, we propose risk-calibrated evidential deep classifiers to reduce the costs associated with classification errors. We use two main approaches. The first is to develop methods to quantify the uncertainty of a ... -
A near Pareto optimal approach to student–supervisor allocation with two sided preferences and workload balance
Sanchez-Anguix, V.; Chalumuri, R.; Aydoğan, Reyhan; Julian, V. (Elsevier, 2019-03)The problem of allocating students to supervisors for the development of a personal project or a dissertation is a crucial activity in the higher education environment, as it enables students to get feedback on their work ... -
Negotiation for incentive driven privacy-preserving information sharing
Aydoğan, Reyhan; Øzturk, P.; Razeghi, Yousef (Springer International Publishing, 2017)This paper describes an agent-based, incentive-driven, and privacy-preserving information sharing framework. Main contribution of the paper is to give the data provider agent an active role in the information sharing process ...
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