Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
AI2024-1
Concurrent Negotiation Strategies for Supply Chains Aiming at Aggregate Optimization While Avoiding the Risks of Negotiation Breakdown
Ryoga Miyajima, Katsuhide Fujita (TUAT)
pp. 1 - 5
AI2024-2
Improving Accuracy-Fairness in Federated Learning with Non-IID Data
Koudai Sakaida, Keiichiro Oishi, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei (UEC)
pp. 6 - 11
AI2024-3
Enhancement of Cooperation Using Latent Strategies in Multi-Agent Deep Reinforcement Learning
Osuke Sashida, Gentoku Nakasone, Toshiharu Sugawara (Waseda Univ.)
pp. 12 - 17
AI2024-4
Theoretical Study on How Tipping and Platform Fees Affect User Strategies in Live Streaming Services
Shintaro Ueki (Waseda Univ.), Fujio Toriumi (Tokyo Univ.), Toshiharu Sugawara (Waseda Univ.)
pp. 18 - 23
AI2024-5
Analyzing the Effectiveness of Smartphone Lanes Using Multi-Agent Simulation
Nishino Kazuaki, Inoue Go, Ono Maika, Rei Junyu, Sato Rie, Hayashi Hisashi (AIIT)
pp. 24 - 29
AI2024-6
Fake news detection using source tweets and user features in social media
Atsumi Honda, Katsuhide Fujita (TUAT)
pp. 30 - 35
AI2024-7
Development of a Fish Catch Prediction Model Using Machine Learning
Tomohiro Tanaka, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei (UEC)
pp. 36 - 41
AI2024-8
Application of Automated Negotiation Techniques to the Vehicle Routing Problem with Time Windows (VRPTW)
Atsunaga Sadahiro, Katsuhide Fujita (TUAT)
pp. 42 - 47
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.