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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 ...
Using convolutional neural networks to automate aircraft maintenance visual inspection
(MDPI, 2020-12)
Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant ...
Artificial intelligence techniques for conflict resolution
(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, ...
Can social agents efficiently perform in automated negotiation?
(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 ...
Bargaining chips: Coordinating one-to-many concurrent composite negotiations
(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 ...
Formal modelling and verification of a multi-agent negotiation approach for airline operations control
(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 ...
Machine learning to predict junction temperature based on optical characteristics in solid-state lighting devices: A test on WLEDs
(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 ...
Actor-critic reinforcement learning for bidding in bilateral negotiation
(TÜBİTAK, 2022)
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ...
Symbolic knowledge extraction for explainable nutritional recommenders
(Elsevier, 2023-06)
Background and objective: This paper focuses on nutritional recommendation systems (RS), i.e. AI-powered automatic systems providing users with suggestions about what to eat to pursue their weight/body shape goals. A ...
The effect of appearance of virtual agents in human-agent negotiation
(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 ...
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