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A machine learning approach for mechanism selection in complex negotiations
(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 ...
The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
(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 ...
Artificial intelligence tools for academic management: assigning students to academic supervisors
(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 ...
Deep reinforcement learning for acceptance strategy in bilateral negotiations
(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 ...
Algorithm selection and combining multiple learners for residential energy prediction
(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 ...
Results of the first annual human-agent league of the automated negotiating agents competition
(The ACM Digital Library, 2018)
We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This ...
A near Pareto optimal approach to student–supervisor allocation with two sided preferences and workload balance
(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 ...
The fifth automated negotiating agents competition (ANAC 2014)
(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 ...
Optimal negotiation decision functions in time-sensitive domains
(IEEE, 2015)
The last two decades have seen a growing interest in automated agents that are able to negotiate on behalf of human negotiators in a wide variety of negotiation domains. One key aspect of a successful negotiating agent is ...
Predicting shuttle arrival time in istanbul
(Springer Nature, 2020)
Nowadays, transportation companies look for smart solutions in order to improve quality of their services. Accordingly, an intercity bus company in Istanbul aims to improve their shuttle schedules. This paper proposes ...
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