Symbolically Solving Two-Strategy Evolutionary Games in Python

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Kaznatcheev, Artem
dc.contributor.author	Oskamp, Rinske
dc.date.accessioned	2024-08-26T09:01:42Z
dc.date.available	2024-08-26T09:01:42Z
dc.date.issued	2024
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/47350
dc.description.abstract	This thesis presents a tool for symbolically solving two-strategy evolutionary games. To develop this tool, the underlying mathematics of twostrategy evolutionary games were thoroughly examined, and the mathematical software system SageMath was addressed. Combining mathematical framework with SageMath’s functionality, we created a program capable of symbolically solving evolutionar
dc.description.sponsorship	Utrecht University
dc.language.iso	EN
dc.subject	This thesis presents a tool for symbolically solving two-strategy evolutionary games.To develop this tool, the underlying mathematics of twostrategy evolutionary games were thoroughly examined, and the mathematical software system SageMath was addressed. Combining mathematical framework with SageMath’s functionality, we created a program capable of symbolically solving evolutionar
dc.title	Symbolically Solving Two-Strategy Evolutionary Games in Python
dc.type.content	Bachelor Thesis
dc.rights.accessrights	Open Access
dc.subject.courseuu	Mathematics
dc.thesis.id	37601