The ability to categorize and use concepts e ectively is a basic requirement of any intelligent actor. The utility-based approach to categorization is founded on the thesis that categorization is fundamentally in service of action, i.e., the choice of concepts made by an actor is critical to its choice of appropriate actions. This is in contrast to classical and similarity-based approaches whic...

Early perceptual processing capabilities are likely to contribute to the categorization of lexical vs. grammatical words by newborns. This lexical categorization could be performed by detecting differences in the prosodic structure of these word categories. Here we demonstrate that a Temporal Recurrent Network (TRN) that allows realistic treatment of the dynamic temporal aspect of prosody perfo...

Categorization is necessary for many decision making tasks. However, the categorization process may interfere the decision making result and the law of total probability can be violated in some situations. To predict the interference effect of categorization, some model based on quantum probability has been proposed. In this paper, a new quantum dynamic belief(QDB) model is proposed. Considerin...

The actions taken by an automated decision-making agent can be enhanced by including mechanisms that enable the agent to categorize concepts e ectively. We pose a utility-based approach to categorization based on the idea that categorization should be carried out in the service of action. The choice of concepts made by a decision maker is critical in the e ective selection of actions under reso...

This work analyzed the perceptual attributes of natural dynamic audiovisual scenes. We presented thirty participants with 19 natural scenes in a similarity categorization task, followed by a semi-structured interview. The scenes were reproduced with an immersive audiovisual display. Natural scene perception has been studied mainly with unimodal settings, which have identified motion as one of t...