Gusev Alexander O, Martyushev Leonid M
Technical Physics Department, Ural Federal University, Mira St. 19, 620062 Ekaterinburg, Russia.
Institute of Industrial Ecology, Russian Academy of Sciences, S Kovalevskoi St. 20a, 620219 Ekaterinburg, Russia.
Entropy (Basel). 2024 Oct 21;26(10):887. doi: 10.3390/e26100887.
The simplest evolutionary model for catching prey by an agent (predator) is considered. The simulation is performed on the basis of a software-emulated Intel i8080 processor. Maximizing the number of catches is chosen as the objective function. This function is associated with energy dissipation and developmental time. It is shown that during Darwinian evolution, agents with an initially a random set of processor commands subsequently acquire a successful catching skill. It is found that in the process of evolution, a logarithmic relationship between astronomical and developmental times arises in agents. This result is important for the ideas available in the literature about the close connection of such concepts as time, Darwinian selection, and the maximization of entropy production.
考虑了智能体（捕食者）捕食猎物的最简单进化模型。该模拟基于软件模拟的英特尔i8080处理器进行。选择捕获数量最大化作为目标函数。该函数与能量耗散和发育时间相关。结果表明，在达尔文进化过程中，最初具有一组随机处理器命令的智能体随后获得了成功的捕食技能。研究发现，在进化过程中，智能体的天文时间和发育时间之间出现了对数关系。这一结果对于文献中有关时间、达尔文选择和熵产生最大化等概念紧密联系的现有观点具有重要意义。
