David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Behavioral and Brain Sciences 21 (4):449-467 (1998)
Intelligent systems are faced with the problem of securing a principled (ideally, veridical) relationship between the world and its internal representation. I propose a unified approach to visual representation, addressing both the needs of superordinate and basic-level categorization and of identification of specific instances of familiar categories. According to the proposed theory, a shape is represented by its similarity to a number of reference shapes, measured in a high-dimensional space of elementary features. This amounts to embedding the stimulus in a low-dimensional proximal shape space. That space turns out to support representation of distal shape similarities which is veridical in the sense of Shepard's (1968) notion of second-order isomorphism (i.e., correspondence between distal and proximal similarities among shapes, rather than between distal shapes and their proximal representations). Furthermore, a general expression for similarity between two stimuli, based on comparisons to reference shapes, can be used to derive models of perceived similarity ranging from continuous, symmetric, and hierarchical, as in the multidimensional scaling models (Shepard, 1980), to discrete and non-hierarchical, as in the general contrast models (Tversky, 1977; Shepard and Arabie, 1979)
|Keywords||affordance categorization constancy distal/proximal stimulus features invariance isomorphism mental models perception representation similarity visual shape recognition|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Frank Jäkel, Bernhard Schölkopf & Felix A. Wichmann (2009). Does Cognitive Science Need Kernels? Trends in Cognitive Sciences 13 (9):381-388.
N. Kriegeskorte & R. A. Kievit (2013). Representational Geometry: Integrating Cognition, Computation, and the Brain. Trends in Cognitive Sciences 17 (8):401-412.
O. Shagrir (2012). Structural Representations and the Brain. British Journal for the Philosophy of Science 63 (3):519-545.
Shimon Edelman & Nathan Intrator (2003). Towards Structural Systematicity in Distributed, Statically Bound Visual Representations. Cognitive Science 23 (1):73-110.
D. I. Perrett, M. W. Oram & E. Ashbridge (1998). Evidence Accumulation in Cell Populations Responsive to Faces: An Account of Generalisation of Recognition Without Mental Transformations. Cognition 67 (1-2):111-145.
Similar books and articles
Adam Toon (2010). Models as Make-Believe. In Roman Frigg & Matthew Hunter (eds.), Beyond Mimesis and Convention: Representation in Art and Science. Boston Studies in Philosophy of Science
Arthur B. Markman & Takashi Yamauchi (1998). Boundary Conditions and the Need for Multiple Forms of Representation. Behavioral and Brain Sciences 21 (4):477-478.
Nathan Intrator (1998). Representation of Similarities and Correspondence Structure. Behavioral and Brain Sciences 21 (4):475-475.
Mauricio Suarez (2003). Scientific Representation: Against Similarity and Isomorphism. International Studies in the Philosophy of Science 17 (3):225-244.
Hannes Eisler (1998). Distal Similarity, Shape Referents, Subjective World, and Redundancy. Behavioral and Brain Sciences 21 (4):470-470.
Martin Jüttner (1998). Representation of Similarities – a Psychometric but Not an Explanatory Concept for Categorization. Behavioral and Brain Sciences 21 (4):475-476.
Philip J. Benson (1998). Seeing Wood Because of the Trees? A Case of Failure in Reverse-Engineering. Behavioral and Brain Sciences 21 (4):468-468.
Shimon Edelman (1998). Shape Representation by Second-Order Isomorphism and the Chorus Model: SIC. Behavioral and Brain Sciences 21 (4):484-493.
Added to index2009-01-28
Total downloads74 ( #60,750 of 1,934,364 )
Recent downloads (6 months)17 ( #33,905 of 1,934,364 )
How can I increase my downloads?