A bit less magic! How to Recognize the Relevant Intentions
Keywords
No Thumbnail Available
Authors
Issue Date
2012-07-12
Language
en
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Humans 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.
Description
Citation
Supervisor
Faculty
Faculteit der Sociale Wetenschappen