A bit less magic! How to Recognize the Relevant Intentions
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2012-07-12
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en
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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.
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Faculteit der Sociale Wetenschappen