Diagrammatic re-codification of probability theory: A representational epistemological study

Cheng, Peter (2003) Diagrammatic re-codification of probability theory: A representational epistemological study. In: Proceedings of the Twenty Fifth Annual Conference of the Cognitive Science Society, Boston.

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Abstract

It is claimed that the current representations used for probability
theory provides a poor codification of that knowledge.
The limitations of the representations and how they encode
the knowledge causes conceptual difficulties and makes problem solving difficult. Probability Space diagrams constitute a new representational system that provides a simpler and more coherent codification of probability theory, which effectively supports problem solving. The two approaches are contrasted, which demonstrates that the effects of representations on advanced forms of cognition extend beyond problem solving and impacts on the conceptual understanding and learning of bodies of knowledge.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Peter Cheng
Date Deposited: 06 Feb 2012 20:45
Last Modified: 13 Jun 2012 13:57
URI: http://sro.sussex.ac.uk/id/eprint/27914
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