Automatically predicting coalition formation in the Dutch House of Representatives

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Baarslag, Tim
dc.contributor.author	San Giorgi, Maarten
dc.date.accessioned	2022-09-09T01:03:35Z
dc.date.available	2022-09-09T01:03:35Z
dc.date.issued	2022
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/42475
dc.description.abstract	In this work, a model is presented to predict the outcome in the coalition formation in the Dutch House of Representatives. Using coalition formation theories and utility theory, a model is created which outputs a coalition, based on political party preferences and a seat distribution. We measure the results of the model and its robustness, by comparing them with actual coalition formations from the past. Furthermore, an implementation is presented in the form of a user-friendly web-application
dc.description.sponsorship	Utrecht University
dc.language.iso	EN
dc.subject	A research where we model and predict coalition formations in de Dutch House of Representatives and create a web-application to give insight in the results to voters.
dc.title	Automatically predicting coalition formation in the Dutch House of Representatives
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	coalition; formation; utility; prediction; politics;
dc.subject.courseuu	Artificial Intelligence
dc.thesis.id	9408