Using computational models of self-organisation and error-driven learning to understand the social interaction in groups: Investigating the process of hierarchy formation and the role of social tradition.

Lam, Marius (2020) Using computational models of self-organisation and error-driven learning to understand the social interaction in groups: Investigating the process of hierarchy formation and the role of social tradition. Master's Thesis / Essay, Behavioural and Cognitive Neurosciences.

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Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type:	Thesis (Master's Thesis / Essay)
Supervisor name:	Hemelrijk, C.K. and Rij-Tange, J.C. van
Degree programme:	Behavioural and Cognitive Neurosciences
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	02 Jul 2020 14:38
Last Modified:	02 Jul 2020 14:38
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/22382

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