A bit less magic! How to Recognize the Relevant Intentions

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dc.contributor.advisorBlokpoel, M.
dc.contributor.advisorRooij, I.J.E.I. van
dc.contributor.authorVisscher, F.B.E. de
dc.date.issued2012-07-12
dc.description.abstractHumans have a remarkable ability for recognizing the intentions of others. From verbal and non-verbal actions they are capable to derive a plausible intention of a communicator. Computational modeling of intention recognition, as it occurs in human communication, can contribute to a better understanding of the cognitive mechanisms underlying this everyday capacity. Blokpoel et al. (2011) have recently proposed a computational model of intention recognition using a Bayesian formalism. The model assumed, however, that the relevant set of intentions that the observer selects from to interpret a communicator is always prespecified. This assumption seems to significantly limit the psychological plausibility of the model. In this project I will extend the model proposed by Blokpoel et al. by incorporating a computational subprocess for selecting the set of relevant intentions. Implications of the extension of the model for its computational tractability will also be discussed.en_US
dc.embargo.lift10000-01-01
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/115
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleA bit less magic! How to Recognize the Relevant Intentionsen_US
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