Department of Informatics, Ionian University, Corfu, Greece.
Adv Exp Med Biol. 2020;1194:253-261. doi: 10.1007/978-3-030-32622-7_23.
The applications of game theory in biology are numerous and include the comparison and modeling situations between bacteria, viruses, etc. This work provides insights about the connection between biology and evolving populations with classical and quantum evolutionary game theory and explains the benefits of unconventional computing methods in the study of such phenomena. In particular, the introduction of automata brings new possibilities into the decision-making process.
博弈论在生物学中的应用非常广泛，包括对细菌、病毒等之间的比较和建模情况。这项工作提供了关于经典和量子进化博弈论中生物学与进化群体之间的联系的见解，并解释了在研究此类现象时非传统计算方法的好处。特别是，自动机的引入为决策过程带来了新的可能性。
