Sense of Agency (SoA) is the sense of being the subject of one’s own motion. When a person is frustrated by a slow response to a certain operation on a smartphone, for example, SoA is low. Patients who have lost a limb due to an accident often suffer from phantom limb pain even after the recovery from the injury, because they do not receive sensory feedback from the lost limb. This study investigates the brain activities related to SoA improvement. We conducted an experiment in which healthy subjects traced a figure on a screen with a mouse. The results showed a decrease in delta and theta waves with improvement in SoA. These changes were confirmed in the frontal lobe area, suggesting that delta and theta waves are related to the perception of SoA.

The importance of risk management has been pointed out in supply chain management which stably supplies products with considering economic efficiency. In particular, supply chain disruptions caused by events with uncertain timing and scale, such as earthquakes and infectious disease pandemics, have sometimes caused great damage even to large companies. In this paper, we propose a planning method of resilient supply chain networks using two-stage stochastic programming and Latin hypercube sampling in order to determine appropriate material suppliers, manufacturers and wholesalers and their inventory levels in a risk-aware and efficient computational time in consideration of disruption risks. In the computational experiments, the optimality and robustness of the proposed method are evaluated.

We develop a broadcast control method for multi-vehicle systems with double-integrator vehicles. In the existing study for single-integrator vehicles, two-stage control has been proposed. Based on this, we extend the result to the case with double-integrator vehicles. As the result, we obtain a four-stage control method and show the stochastic convergence to a local minimum of the given objective function. We evaluate the effectiveness of the proposed method by numerical simulation.