Representational Interpretive Structure: Theory and Notation
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-15146-0_4
Reference22 articles.
1. Bird, R., Wadler, P.: Introduction to Functional Programming. Hemel Hempstead: Prentice Hall International (UK) (1988)
2. Cheng, P.C.-H.: Electrifying diagrams for learning: principles for effective representational systems. Cogn. Sci. 26(6), 685–736 (2002). https://doi.org/10.1016/S0364-0213(02)00086-1
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.: A sketch of a theory and modelling notation for elucidating the structure of representations. In: Pietarinen, A.-V., Chapman, P., Bosveld-de Smet, L. Giardino, V., Corter, J., Linker, S. (eds.) Diagrams 2020, LNCS (LNAI), vol. 12169, pp. 93–109. Springer Cham (2020). https://doi.org/10.1007/978-3-030-54249-8_8
5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);P-H Cheng,2021
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