RAP: a new framework for visual categorization.

Abstract:

:Cognitive science might almost be defined as several disciplines communicating their different perspectives on the mind, the common object of study. However, domain-specific concepts and techniques can prevent, rather than foster, a communication of viewpoints. In this article, we develop a new framework for visual categorization in which the interaction between Represented (R) information and Available (A) information determine the Potent (P) information (symbolically, R ? A approximately P). We argue and illustrate that this framework helps to establish a common language to articulate issues common to low-, mid-, and high-level vision. More importantly, we present new techniques with which to visualize the so-far elusive constructs of representation and potent information.

journal_name

Trends Cogn Sci

authors

Gosselin F,Schyns PG

doi

10.1016/s1364-6613(00)01838-6

subject

Has Abstract

pub_date

2002-02-01 00:00:00

pages

70-7

issue

2

eissn

1364-6613

issn

1879-307X

pii

S1364661300018386

journal_volume

6

pub_type

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