Abstract
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.
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Kastampolidou, K., Andronikos, T. (2020). A Survey of Evolutionary Games in Biology. In: Vlamos, P. (eds) GeNeDis 2018. Advances in Experimental Medicine and Biology, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-030-32622-7_23
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DOI: https://doi.org/10.1007/978-3-030-32622-7_23
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