What controls network reciprocity in the Prisoner's Dilemma game? - Atsuo Yamauchi; Jun Tanimoto; Aya Hagishima (Biosyst., 2010)

An analysis of network reciprocity in Prisoner's Dilemma games using Full Factorial Designs of Experiment. - Atsuo Yamauchi; Jun Tanimoto; Aya Hagishima (Biosyst., 2011)

Traffic flow simulation dovetailed with evolutionary game theory. - Jun Tanimoto; Shinji Kukida; Aya Hagishima; Naoki Ikegaya (SIMULTECH, 2014)

Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters. - Betty Lala; Srikant Manas Kala; Anmol Rastogi; Kunal Dahiya; Hirozumi Yamaguchi; Aya Hagishima (SMARTCOMP, 2022)

Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters. - Betty Lala; Srikant Manas Kala; Anmol Rastogi; Kunal Dahiya; Aya Hagishima (SMC, 2022)

Multi-task Learning for Concurrent Prediction of Thermal Comfort, Sensation, and Preference. - Betty Lala; Hamada Rizk; Srikant Manas Kala; Aya Hagishima (CoRR, 2022)

Evaluating Demand Response Potential of Air Conditioners in Residential Sector: A Data-Driven Approach Estimating Room Temperature. - Tetsushi Ono; Aya Hagishima; Jun Tanimoto (ISGT Asia, 2023)