Toward the Utilization of Artificial Intelligence in Life Sciences: A Voluntary Medical Data Provisioning Model. - Masanori Fujita; Ayato Kitadai; Koichi Sumikura; Nariaki Nishino (IEEE Big Data, 2022)

Toward a Novel Methodology in Economic Experiments: Simulation of the Ultimatum Game with Large Language Models. - Ayato Kitadai; Yudai Tsurusaki; Yusuke Fukasawa; Nariaki Nishino (IEEE Big Data, 2023)

Evaluating the alleviation of traffic congestion through Bus Rapid Transit using Multi-Agent Simulation. - Zeyu Zhou; Mizuki Kobayashi; Uta Sato; Kazuma Akashi; Ayato Kitadai; Soma Sugihara; Yusuke Fukasawa; Masanori Fujuta; Nariaki Nishino (IEEE Big Data, 2023)

Weighted Reward Allocation Mechanism for Data Collection Quality. - Ayato Kitadai; Sinndy Dayana Rico Lugo; Sangjic Lee; Masanori Fujita; Nariaki Nishino (GDN, 2023)

Examining the Feasibility of Large Language Models as Survey Respondents. - Ayato Kitadai; Kazuhito Ogawa; Nariaki Nishino (IEEE Big Data, 2024)

Accounting for Traffic Congestion: Heterogeneous Target Arrival Times, Uncertainty, and Monetary Incentives. - Yu Takenoya; Ayato Kitadai; Nariaki Nishino (IEEE Big Data, 2024)

Real Traffic Analysis Around Large-Scale Shopping Mall Using Game Theory. - Mizuki Kobayashi; Ayato Kitadai; Uta Sato; Masanori Fujita; Nariaki Nishino (APMS (3), 2024)

Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments? - Ayato Kitadai; Sinndy Dayana Rico Lugo; Yudai Tsurusaki; Yusuke Fukasawa; Nariaki Nishino (CoRR, 2024)