抄録
Recent reports revealed that in some cases the behavior in living things became probabilistic and in other cases became deterministic in order to adapt to the complex environment. This mechanism is called as "Yuragi", which means fluctuation in Japanese, and can be represented as a stochastic differential equation and referred to as the "Yuragi" equation. The conventional "Yuragi" equation makes use of both "task achievements" as an evaluation criterion and "ever-present noise" as an exploration source. Instead of the "task achievements", our "Yuragi" equation utilizes "the appropriateness of each attractor in the state space" and "damped noise according to the distance from the attractors", which offers an efficient and robust optimization algorithm. The convergence of solution of the proposed "Yuragi" equation was investigated through simple numerical calculation experiments.
