Multiagent activity is commonplace in everyday life and can improve the behavioral
efficiency of task performance and learning. Thus, augmenting social contexts with the use …

Understanding the principles of real-world biological multi-agent behaviors is a current
challenge in various scientific and engineering fields. The rules regarding the real-world …

We investigate the quantum spin-1/2 zigzag chain with frustrated J 1-J 2 Heisenberg
interactions, incorporating additional off-diagonal exchange interactions known as the Γ …

Computational analysis of multi-agent trajectories is a fundamental issue in the study of real-
world biological agents. For trajectory analysis, combining movement data with labels (eg …

With the development of measurement technology, data on the movements of actual games
in various sports can be obtained and used for planning and evaluating the tactics and …

Modeling the complex collective behavior is a challenging issue in several material and life
sciences. The collective motion has been usually modeled by simple interaction rules and …

This study investigated the interpersonal coordination between the pitcher and the batter in
bat-and-ball sports. Although the importance of interpersonal coordination is widely …

Team sports activities are effective for improving the negative symptoms and cognitive
functions in patients with schizophrenia. However, the interpersonal coordination during the …

The S= 1 2 quantum spin ladder system with the anisotropic ferromagnetic exchange
interaction on the rung under magnetic field is investigated using the numerical …

A human group shares a common goal and distributes roles to implement activities that are
difficult to accomplish alone and higher performance than an individual. In such …