Conceptual space
A conceptual space is a geometric structure that represents a number of quality dimensions, which denote basic features by which concepts and objects can be compared, such as weight, color, taste, temperature, pitch, and the three ordinary spatial dimensions.[1][2]: 4 In a conceptual space, points denote objects, and regions denote concepts. The theory of conceptual spaces is a theory about concept learning first proposed by Peter Gärdenfors.[3][4][5] It is motivated by notions such as conceptual similarity and prototype theory.
The theory also puts forward the notion that natural categories are convex regions in conceptual spaces.[1]: 5 In that if and are elements of a category, and if is between and , then is also likely to belong to the category. The notion of concept convexity allows the interpretation of the focal points of regions as category
See also
- Categorical perception
- Cognitive architecture
- Color space
- Commonsense reasoning
- Conceptual dependency theory
- Distributional semantics
- Face space
- Formal concept analysis
- Frame semantics
- Global workspace theory
- Image schema
- Phonetic space
- Semantic space
- Similarity (philosophy)
- State space
- Vector space model
- Visual space
Notes
- ^ OCLC 907771045.
- ^ Kriegeskorte, N., & Kievit, R. A. (2013). Representational geometry: Integrating cognition, computation, and the brain. Trends in Cognitive Sciences, 17(8), 401–412. http://doi.org/10.1016/j.tics.2013.06.007
- OCLC 42389577.
- OCLC 854541601.
- ^ Foo, N. (2001). Conceptual Spaces—The Geometry of Thought. AI Magazine, 22(1), 139–140. Retrieved from [1]
- ^ Chella, A., & Frixione, M., & Gaglio, S.; (1997). A Cognitive Architecture for Artificial Vision. Artificial Intelligence, 89(1), 73–111. http://doi.org/10.1016/S0004-3702(96)00039-2
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