dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Kamphorst, B. | |
dc.contributor.advisor | van Wissen, A. | |
dc.contributor.advisor | Meyer, J.J. | |
dc.contributor.author | Procee, R. | |
dc.date.accessioned | 2014-03-19T18:00:29Z | |
dc.date.available | 2014-03-19T18:00:29Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/16365 | |
dc.description.abstract | Procrastination is widespread self-undermining behaviour that negatively impacts individual performance and well-being. Psychological research has identified a variety of factors influencing this complex behaviour. However, how these factors interact and influence procrastination is poorly understood; there is no uniform theory that integrates all these factors. This thesis presents a conceptual model of procrastination built from factors found in the psychological literature. Using the conceptual model, a formalization can be made that captures the different factors. The formalization will be used to make a computational model to run simulations and train the model on empirical data. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 554932 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | A computational model of procrastination | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | procrastination, computational model, | |
dc.subject.courseuu | Technical Artificial Intelligence | |