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Theoria et Historia Scientiarum

Geometry as Transfer
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Geometry as Transfer

Authors

  • Michael Leyton

DOI:

https://doi.org/10.12775/ths.2008.012

Keywords

geometry, transfer, human perception, quantum mechanics, Hamiltonian Mechanics, theory of transfer

Abstract

It is generally accepted that intelligent action involves considerable use of transfer. For example, Carbonell [1] has argued that learning proceeds by analogical reasoning; Rosch [12] has argued that categorization proceeds by seeing objects in terms of prototypes; and Leyton [9] has argued that the human perceptual system is organized as a hierarchy of transfer. The role of geometry is also seen as fundamental to the representations produced by the cognitive system. For example, Gallistel [2] has elaborated the powerful role of geometry in animal learning and navigation; Lakoff [3] has emphasized the role of geometry in semantics; and Leyton [9] has proposed an extensive role for geometry in causal explanation. We bring together the two above factors, transfer and geometry, in the book, Leyton [10], by developing a generative theory of shape in which transfer is a fundamental organizing principle. In this approach, transfer is basic to the very meaning of geometry. The purpose of the present paper is to give an introduction to this transfer-based theory of geometry.

References

Carbonell, J.G (1986). Derivational analogy. In R.S. Michalski, J.G. Carbonell. & T.M. Mitchell (Ed.), Machine Learning, vol 2. Los Altos, CA: Morgan-Kaufman

Gallistel, R.C. (1990). The Organization of Learning. Cambridge, Mass: MIT Press

Lakoff, G. (1987). Women, Fire, and Dangerous Things. Chicago: University of Chicago Press.

Leyton, M. ( 1984) Perceptual organization as nested control. Biological Cybernetics

, 141-153.

Leyton, M. (1986a) Principles of information structure common to six levels of the human cognitive system. Information Sciences, 38, 1-120. Entire journal issue.

Leyton, M. (1986b) A theory of information structure I: General principles. Journal of Mathematical Psychology, 30, 103-160.

Leyton, M. (1986c) A theory of information structure II: A theory of perceptual organization Journal of Mathematical Psychology, 30, 257-305.

Leyton, M. (1987a) Nested structures of control: An intuitive view. Computer Vision

Graphics, and Image Processing, 37, 20-53.

Leyton, M. (1992). Symmetry, Causality, Mind. Cambridge, Mass: MIT Press.

Leyton, M. (2001). A Generative Theory of Shape. Book. Submitted.

Meyer, B. (1997). Object-Oriented Software Construction. New Jersey: Prentice Ha Hall.

Rosch, E. ( 1978). Principles of categorization. In E. Rosch & B.B. Lloyd (Ed: Cognition and Categorization. Hillsdale, NJ: Lawrence Erlbaum.

Theoria et Historia Scientiarum

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Published

2008-01-02

How to Cite

1.
LEYTON, Michael. Geometry as Transfer. Theoria et Historia Scientiarum. Online. 2 January 2008. Vol. 8, no. 1, pp. 223-246. [Accessed 6 July 2025]. DOI 10.12775/ths.2008.012.
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