Lexicon of Arguments

Philosophical and Scientific Issues in Dispute
 
[german]


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Theses II

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I 26
Learning/convexity/Gärdenfors: that properties are convex (i.e. that points lying inbetween in the quality space have the same property as outer points with this property) facilitates the learning of categories.
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I 42
Learning/Gärdenfors: when learning concepts, we must start from a few specimen, which we then generalize. (See Reed, 1972(1), Nosofsky, 1986(2), 1988(3), Langley, 1996(4)). When we accept prototypes, we can say that typical instances are obtained from the examples by finding something like a middle position in the domain. (Langley(4), 1996, p.99).
This middle position can then again be used for a Voronoi-tessellation of the region. ((s) Division of the domain into adjacent sections with a respective center.)> Prototype/Gärdenfors.


1. Reed, S. K. (1972). Pattern recognition and categorization. Cognitive Psychology, 3, 382-407
2. Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General, 115, 39-57
3. Nosofsky, R. M. (1988). Similarity, frequency, and category representations. Journal of Experimental Psychology: Learning, Memory and Cognition, 14, 54-65
4. Langley, P. (1996). Elements of machine learning. San Francisco, CA: Morgan Kaufmann

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