A Study on Research Performance in Japanese Universities: which is More Efficient - a Professor Who is Leading his Research Group or One Who is Working Alone? The Multi-Agent Simulation knows. - Jun Tanimoto; Haruyuki Fujii (Adv. Complex Syst., 2003)

A study on social diffusive impacts of a novel car-navigation-system sharing individual information in Urban traffic systems. - Hiroki Sagara; Jun Tanimoto (IEEE Congress on Evolutionary Computation, 2007)

Emergence of cooperation supported by communication in a one-shot 2×2 game. - Jun Tanimoto (IEEE Congress on Evolutionary Computation, 2007)

Differences in dynamics between discrete strategies and continuous strategies in a multi-player game with a linear payoff structure. - Jun Tanimoto (Biosyst., 2007)

A study of indirect reciprocity involving a reputation system or a simple tag system in a one-shot, multi-player game. - Jun Tanimoto (Biosyst., 2007)

Relationship between dilemma occurrence and the existence of a weakly dominant strategy in a two-player symmetric game. - Jun Tanimoto; Hiroki Sagara (Biosyst., 2007)

A study on emergence of alternating reciprocity in a 2 × 2 game with 2-length memory strategy. - Jun Tanimoto; Hiroki Sagara (Biosyst., 2007)

Co-evolution model of networks and strategy in a 2 × 2 game emerges cooperation. - Jun Tanimoto (IEEE Congress on Evolutionary Computation, 2008)

What initially brought about communications? - Jun Tanimoto (Biosyst., 2008)

The effect of assortative mixing on emerging cooperation in an evolutionary network game. - Jun Tanimoto (IEEE Congress on Evolutionary Computation, 2009)

A simple scaling of the effectiveness of supporting mutual cooperation in donor-recipient games by various reciprocity mechanisms. - Jun Tanimoto (Biosyst., 2009)

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

Reciprocity phase in various 2 × 2 games by agents equipped with two-memory length strategy encouraged by grouping for interaction and adaptation. - Motoya Wakiyama; Jun Tanimoto (Biosyst., 2011)

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

Network reciprocity on spatial prisoner's dilemma games by Continuous-binary strategy. - Noriyuki Kishimoto; Satoshi Kokubo; Jun Tanimoto (SCIS&ISIS, 2012)

How is the equilibrium of continuous strategy game different from that of discrete strategy game? - Weicai Zhong; Satoshi Kokubo; Jun Tanimoto (Biosyst., 2012)

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

Spatial reciprocity for discrete, continuous and mixed strategy setups. - Satoshi Kokubo; Zhen Wang 004; Jun Tanimoto (Appl. Math. Comput., 2015)

The impact of initial cooperation fraction on the evolutionary fate in a spatial prisoner's dilemma game. - Jun Tanimoto (Appl. Math. Comput., 2015)

How does resolution of strategy affect network reciprocity in spatial prisoner's dilemma games? - Jun Tanimoto (Appl. Math. Comput., 2017)

Coevolution of discrete, mixed, and continuous strategy systems boosts in the spatial prisoner's dilemma and chicken games. - Jun Tanimoto (Appl. Math. Comput., 2017)

Three-strategy and four-strategy model of vaccination game introducing an intermediate protecting measure. - Muntasir Alam; Kazuki Kuga; Jun Tanimoto (Appl. Math. Comput., 2019)

A stochastic Pairwise Fermi rule modified by utilizing the average in payoff differences of neighbors leads to increased network reciprocity in spatial prisoner's dilemma games. - Keisuke Nagashima; Jun Tanimoto (Appl. Math. Comput., 2019)

Vaccination strategies in a two-layer SIR/V-UA epidemic model with costly information and buzz effect. - K. M. Ariful Kabir; Jun Tanimoto (Commun. Nonlinear Sci. Numer. Simul., 2019)

Analysis of epidemic outbreaks in two-layer networks with different structures for information spreading and disease diffusion. - K. M. Ariful Kabir; Jun Tanimoto (Commun. Nonlinear Sci. Numer. Simul., 2019)

Evolutionary dynamics of a 3-strategy game: Cooperator, defector and costly cooperative loner strategic types. - Yoshiro Iwamura; Keisuke Nagashima; Jun Tanimoto (Appl. Math. Comput., 2020)

The role of pairwise nonlinear evolutionary dynamics in the rock-paper-scissors game with noise. - K. M. Ariful Kabir; Jun Tanimoto (Appl. Math. Comput., 2021)

The existence of fence-sitters relaxes the spatial prisoner's dilemma and enhances network reciprocity. - Kohei Miyaji; Jun Tanimoto (Appl. Math. Comput., 2021)

Proposal of an apposite strategy-updating rule for the vaccination game where hubs refer to hubs and lower-degree agents refer to lower-degree agents. - Masaki Tanaka; Jun Tanimoto (Biosyst., 2021)

Consideration of artificial compressibility for explicit computational fluid dynamics simulation. - K. Nagata; Naoki Ikegaya; Jun Tanimoto (J. Comput. Phys., 2021)

Investigating the trade-off between self-quarantine and forced quarantine provisions to control an epidemic: An evolutionary approach. - Md. Mamun-Ur-Rashid Khan; Md. Rajib Arefin; Jun Tanimoto (Appl. Math. Comput., 2022)

Stochasticity of disease spreading derived from the microscopic simulation approach for various physical contact networks. - Yuichi Tatsukawa; Md. Rajib Arefin; Shinobu Utsumi; Kazuki Kuga; Jun Tanimoto (Appl. Math. Comput., 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)

A Multi-layer Network Community Detection Method via Network Feature Augmentation and Contrastive Learning. - Min Teng; Chao Gao; Zhen Wang 004; Jun Tanimoto (PRICAI (1), 2024)

Customizing Spatial-Temporal Graph Mamba Networks for Pandemic Forecasting. - Haowei Xu; Chao Gao; Xianghua Li; Zhen Wang 004; Jun Tanimoto (PRICAI (1), 2024)

The effect of nonlinear environmental feedback on the outcomes of evolutionary dynamics. - Jiaquan Huang; Yuying Zhu 001; Chengyi Xia; Jun Tanimoto (Appl. Math. Comput., 2024)

Cooperative bots exhibit nuanced effects on cooperation across strategic frameworks. - Zehua Si; Zhixue He; Chen Shen; Jun Tanimoto (CoRR, 2024)

Unbiased third-party bots lead to a tradeoff between cooperation and social payoffs. - Zhixue He; Chen Shen 006; Lei Shi 004; Jun Tanimoto (CoRR, 2024)

Granting leaders priority exit options promotes and jeopardizes cooperation in social dilemmas. - Shulan Li; Zhixue He; Danyang Jia; Chen Shen 006; Lei Shi 004; Jun Tanimoto (Neurocomputing, 2024)

Coupling injunctive social norms with evolutionary games. - Md. Rajib Arefin; Jun Tanimoto (Appl. Math. Comput., 2024)

Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea. - Chen Shen 006; Zhao Song 008; Lei Shi 004; Jun Tanimoto; Zhen Wang 004 (Sci. China Inf. Sci., 2025)