title: Cooperative Categorization: Coordination of Reference and Categories in Learning a Joint Prediction Task creator: Voiklis, John creator: Corter, James subject: Social Psychology subject: Cognitive Psychology subject: Psycholinguistics subject: Behavioral Analysis description: We investigated the interaction of structure and convention in the emergence of schemes for joint reference in the context of indirect category learning. Participants worked individually or in dyads to learn a set of functionally-defined categories, instantiated as supposed alien creatures. The perceptual structure of these categories was complex: one function could be predicted by a unidimensional rule but the other was defined by a family-resemblance substructure. In addition to the main function-prediction task, each learner worked individually to sort the exemplars (pre- and post-function prediction) and in an individual prediction test that yielded selective attention data. Dyadic learners predicted the functional features with significantly greater accuracy compared to individual learners. This dyadic advantage was even greater for predicting the simple rule-based function compared to the FR function. Also, the post-task sorts produced by dyadic learners correlated more closely to the true categories than did those of individual learners. publisher: Cognitive Science Society contributor: Love, Brad contributor: McRae, Ken contributor: Sloutsky, Vladimir date: 2008-07 type: Conference Poster type: NonPeerReviewed format: application/pdf identifier: http://cogprints.org/6288/1/Voiklis_CogSci2008_Poster.0721.pdf identifier: Voiklis, John and Corter, James (2008) Cooperative Categorization: Coordination of Reference and Categories in Learning a Joint Prediction Task. [Conference Poster] relation: http://cogprints.org/6288/