Abstract
The development of games had been seen as an essential field of study in artificial intelligence. Although game concepts have been adopted in various problem domains, understanding the nature of game playing’s underlying mechanism has been limited. This study investigates such a mechanism by adopting a logistic model of game outcome uncertainty where a measure of game refinement had been derived. Application of such a measure to the popular board and sports games have been conducted to determine its implication in determining sophisticated design and has defined the harmonic balance between skill and chance. A theoretical analysis using practical data confirms the effectiveness of the proposed model, where reasonable game length is determined based on the definition of a gamified experience. The model is further expanded with the analogy of physics in mind. The law of motions in the game is formalized by considering the derivatives of the game progress model, where the link between game refinement theory and flow theory is identified and discussed. In essence, the sophisticated game’s underlying mechanism leads to a more natural yet pleasurable human experience.
Highlights
Since the dawn of human civilization, the act of playing had been a significant part of human society’s fabric
Some studies have shifted towards game design, where the game artifacts are generated by adopting concepts of biological evolution [2], integrating psychological concepts for better player immersion [6], and incorporating problem-driven methodology
Game refinement theory has been studied based on the game outcome uncertainty [10]–[12]
Summary
Since the dawn of human civilization, the act of playing had been a significant part of human society’s fabric. Game refinement theory has been studied based on the game outcome uncertainty [10]–[12]. It has been verified in the domain of fun-game domains such as board games and video games, later tested in the non-game domains such as business and education [13]. A measure of game refinement is employed to evaluate various games Such a measure is expanded by exploring its analogy with the law of motions to understand the nature of the physics in mind.
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