Why Feynman Diagrams Are Worth 10,000 Formulae: A Representational Epistemological Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71291-3_2
Reference18 articles.
1. Cheng, P.C-H.: What constitutes an effective representation? In: Jamnik, M., Uesaka, Y., Elzer Schwartz, S. (eds.) Diagrams 2016. LNCS (LNAI), vol. 9781, pp. 17–31. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42333-3_2
2. Cheng, P.C-H.: Electrifying diagrams for learning: principles for effective representational systems. Cogn. Sci. 26(6), 685–736 (2002)
3. Cheng, P.C-H.: Probably good diagrams for learning: representational epistemic re-codification of probability theory. Top. Cogn. Sci. 3(3), 475–498 (2011)
4. Cheng, P.C-H.: Truth Diagrams versus extant notations for propositional logic. J. Lang. Log. Inf. 29, 121–161 (2020)
5. Cheng, P.C-H., Barone, R.: Representing complex problems: a representational epistemic approach. In: Learning to Solve Complex Scientific Problems, pp. 97–130. Lawrence Erlbaum Associates, Mahmah, N. J. (2007)
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