The "tug-of-war (TOW) model" proposed in our previous studies ] is a unique dynamical system inspired by the photoavoidance behavior of a single-celled amoeba of the true slime mold Physarum polycephalum. The TOW model is applied to...
moreThe "tug-of-war (TOW) model" proposed in our previous studies ] is a unique dynamical system inspired by the photoavoidance behavior of a single-celled amoeba of the true slime mold Physarum polycephalum. The TOW model is applied to solving the "multi-armed bandit problem," a problem of finding the most rewarding one from multiple options as accurately and speedy as possible. We showed that the model exhibits better performances compared with other well-known algorithms. However, in order to maximize its performance, the TOW model is required an optimized parameter w. In this study, we propose a new TOW model which adaptively produces the estimates to determine w in its own way and thus has no parameter. We show that in some asymmetric problems the new model is more efficient than the UCB1tuned algorithm , which is known as the best algorithm.
