Evolution of Games Towards The Discovery of Noble Uncertainty
Wu Yicong, Htun Pa Pa Aung, Mohd Nor Akmal Khalid, Hiroyuki Iida · 2019
This paper presents two directions of game evolution using the multiplayer incomplete information game - Mahjong and two-person complete information game - Chess. The directions of these games show the transitions from higher uncertainty to lower uncertainty and vice versa, whereas the game refinement measure (GR) had been employed for the assessment. It indicates that people have been searching for a harmonic balance between deterministic and stochastic aspects when playing games, which in this study, called the noble uncertainty. Currently, this study conjectured that noble uncertainty can be found at GR ∈ [0.07, 0.08] where evolutionary changes of both Mahjong and Chess have converged to it.