We study representation formats that allow formally defining what we call flexary operators: functions that take arbitrarily many arguments, like Σk=1n ak or binders that bind arbitrarily many variables, like ∀x1,... xn. F. Concretely, we define a flexary logical framework based on LF, and use it as a meta-language to define flexary first-order logic and flexary simple type theory. We use these to formalize several flexary mathematical concepts including arithmetical and logical operators, matrices, and polynomials. © 2014 Springer International Publishing.
CITATION STYLE
Horozal, F., Rabe, F., & Kohlhase, M. (2014). Flexary operators for formalized mathematics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8543 LNAI, pp. 312–327). Springer Verlag. https://doi.org/10.1007/978-3-319-08434-3_23
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