Agent-based models in social learning in nonhuman animals and opinion dynamics: a case study of evolutionary social science

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dc.contributor.advisorGeurts, B.
dc.contributor.advisorCimino, A.
dc.contributor.authorKerssies, N.
dc.date.issued2021-08-30
dc.description.abstractAlex Mesoudi has argued that cultural evolution can provide a theoretical synthesis as well as a practical method for social science. Meanwhile, agent-based models, originally developed for social science applications, have seen increasing use in studies in cultural evolution. In this article, I test the validity of Mesoudi’s claims in the specific case of opinion dynamics and social learning in nonhuman animals, both of which employ this type of model. This case study demonstrates possibilities for collaboration between the two fields, which are more mutual than is implied in arguments for understanding social phenomena in terms of cultural evolution concepts.en_US
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/11368
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Filosofie, Theologie en Religiewetenschappenen_US
dc.thesis.specialisationHistory of Philosophyen_US
dc.thesis.studyprogrammePhilosophy: Research Masteren_US
dc.thesis.typeMasteren_US
dc.titleAgent-based models in social learning in nonhuman animals and opinion dynamics: a case study of evolutionary social scienceen_US
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