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Rubio Bizcaino, Andrzej (author)This paper aims to define the broad concept of fairness and investigate how it can be measured, especially considering fairness in automated negotiations. The report relies on the work on fairness issues that have been derived from the research of C. Albin [1]. Firstly, the paper elaborates on different fairness metrics from the literature...bachelor thesis 2022
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Gaghi, Radu (author)This paper introduces a strategy for learning opponent parameters in automated negotiation and using them for future negotiation sessions. The goal is to maximize the agent’s utility while being consistent in its performance over various negotiation scenarios. While a number of reinforcement learning approaches in the field have used Q-learning,...bachelor thesis 2022
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Agrawal, Arpit (author)With the prospects of decentralized multi-agent systems becoming more prevalent in daily life, automated negotiation agents have made their place in these collaborative settings. They are an approach to promote communication between the agents in reaching solutions that are better for all involved.<br/><br/>Recent literature has shown great...bachelor thesis 2022
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Blagoev, Nikolay (author)As automated negotiating agents become more and more part of our daily life, additional care needs to be taken that the agents can negotiate fairly. Humans each have their own intrinsic view on fairness, which affects the negotiation processes and the degree to which the outcome is viewed as satisfactory. However, most current agents are built...bachelor thesis 2022
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Ouwerkerk, Nick (author)In this paper, the unintended consequences, also named edge cases in this paper, of integrating fairness into the automated negotiation process are researched. By finding these unintended consequences, we can deal with them accordingly or avoid them, as to not cause any problems with our fairness metric that might make our negotiation process...bachelor thesis 2022
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Cochavi, Zohar (author)The field of automated negotiation promises to improve negotiations, thus, a fair outcome and process should also be considered when building these systems. However, issues exist with computational approaches to fairness with which the field of computer science is mainly concerned. To this end, we propose a new approach to fairness based on that...bachelor thesis 2022
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Pocola, Octav (author)Automated negotiation agents can highly benefit from learning their opponent’s preferences. Multiple algorithms have been developed with the two main categories being: heuristic techniques and machine learning techniques. Historically, heuristic techniques have dominated the field, but with the recent development in the field of machine learning...bachelor thesis 2022
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Renting, B.M. (author), Hoos, Holger H. (author), Jonker, C.M. (author)Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenarios with linear additive and nonlinear utility functions. Over the years, it has become clear that there is no single best strategy for all negotiation settings, yet many fixed strategies are still being developed. We envision a shift in the...conference paper 2020
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Koca, Thimjo (author), Baarslag, Tim (author), Jonker, C.M. (author)This work presents BIDS (Bidding using Diversied Search), an algorithm that can be used by negotiating agents to search very large outcome spaces. BIDS provides a balance between being rapid, accurate, diverse, and scalable search, allowing agents to search spaces with as many as 10250 possible outcomes on very run-of-the-mill hardware. We<br/...conference paper 2022
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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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Tejedor-Romero, Marino (author), Murukannaiah, P.K. (author), Gimenez-Guzman, Jose Manuel (author), Marsa-Maestre, Ivan (author), Jonker, C.M. (author)Channel allocation in dense, decentralized Wi-Fi networks is a challenging due to the highly nonlinear solution space and the difficulty to estimate the opponent’s utility model. So far, only centralized or mediated approaches have succeeded in applying negotiation to this setting. We propose the first two fully-distributed negotiation...conference paper 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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Tejedor Romero, M. (author), Murukannaiah, P.K. (author), Gimenez-Guzman, Jose Manuel (author), Marsa Maestre, I. (author), Jonker, C.M. (author)Channel allocation in dense Wi-Fi networks is a complex problem due to its nonlinear and exponentially sized solution space. Negotiating over this domain is a challenge, since it is difficult to estimate opponent’s utility. Based on our previous work in mediated techniques, we propose the first two fully-distributed multi-agent negotiations...conference paper 2023
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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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Baarslag, T. (author)Negotiation is an important activity in human society, and is studied by various disciplines, ranging from economics and game theory, to electronic commerce, social psychology, and artificial intelligence. Traditionally, negotiation is a necessary, but also time-consuming and expensive activity. Therefore, in the last decades there has been a...doctoral thesis 2014
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Hindriks, K.V. (author), Jonker, C.M. (author), Tykhonov, D. (author)The “negotiation dance”, as Raiffa calls the dynamic pattern of the bidding, has an important influence on the outcome of the negotiation. The current practice of evaluating a negotiation strategy is to focus on fairness and quality aspects of the agreement. In this article we present the framework DANS (Dynamics Analysis of Negotiation...journal article 2011
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Lin, R. (author), Kraus, S. (author), Baarslag, T. (author), Tykhonov, D. (author), Hindriks, K. (author), Jonker, C.M. (author)The design of automated negotiators has been the focus of abundant research in recent years. However, due to difficulties involved in creating generalized agents that can negotiate in several domains and against human counterparts, many automated negotiators are domain specific and their behavior cannot be generalized for other domains. Some of...journal article 2012
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Baarslag, T. (author), Hendrikx, M.J.C. (author), Hindriks, K.V. (author), Jonker, C.M. (author)A negotiation between agents is typically an incomplete information game, where the agents initially do not know their opponent’s preferences or strategy. This poses a challenge, as efficient and effective negotiation requires the bidding agent to take the other’s wishes and future behavior into account when deciding on a proposal. Therefore, in...journal article 2015
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Sanchez-Anguix, Victor (author), Tunalı, Okan (author), Aydoğan, Reyhan (author), Julian, Vicente (author)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 by all parties involved in the negotiation. We argue that, while optimizing one’s utility function is essential, agents...journal article 2021
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Keskin, Mehmet Onur (author), Buzcu, Berk (author), Aydoğan, Reyhan (author)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 but also attitudes is a significant prerequisite for this kind of interaction. Studies on opponent modeling are...journal article 2023
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