Applying the concepts and formalisms from Evolutionary Game Theory to the data regime, the fundamental paradigms of Evolutionary Data Theory are introduced. Interpreting data in matrix form as evolutionary entities, input data is mapped to genes and organisms. Steered by genetic fitness and two evolutionary strategies, Dominant-Balanced and Altruistic-Selfish, data records and features conduct an evolutionary game. It is shown that this evolutionary interpretation remains universally meaningful, by proving convergence to a unique rest point, where all data features persist in the population. A basic example of multi-objective optimization is shown as well as a related distribution problem.

翻译：将进化博弈论中的概念与形式体系引入数据领域，本文提出了进化数据理论的基本范式。将矩阵形式的数据视为进化实体，输入数据被映射为基因和生物体。在遗传适应度与两种进化策略（主导-平衡与利他-自私）的驱动下，数据记录与特征进行一场进化博弈。通过证明收敛于唯一静止点（所有数据特征在该点持续存在于种群中），表明这种进化解释具有普遍意义。本文还展示了一个多目标优化的基本实例及相关的分布问题。