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slightknack.dev | ||
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boxbase.org
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| | | | | These ideas and thoughts have converged towards type theory, and I remembered familiar patterns so I did a closer study at the Hindley-Milner, to understand it much better than before. | |
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www.baturin.org
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| | | | | [AI summary] The text provides an in-depth exploration of functional programming concepts in OCaml, focusing on type systems, pattern matching, and data structures. It covers topics such as unit and boolean values as sum types, polymorphic types like option and result, and the use of match expressions for pattern matching. The text also includes exercises for practicing these concepts, such as defining functions, writing sum types, and implementing pattern matching. | |
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lambdaland.org
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| | | | | All the source for this may be found on my SourceHut repository. Synopsis # Experimental type checker/inferer for a simple lambda calculus Description # This is a type inference system for a little language. (Described below.) It uses a fusion of type inference algorithms from PLAI, ESP, and ?Kanren. (See Resources) Broadly speaking, our type inference engine works by: generating typing constraints from the program solving those constraints Well describe each of those in more detail. | |
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www.umsu.de
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| | | [AI summary] The discussion centers on the interpretation of higher-order logic and the role of metaphysical domains. Andrew Bacon argues that higher-order logic doesn't require a metaphysical commitment to domains of objects, properties, or propositions. Instead, he emphasizes the use of stipulative definitions and logical connections between sentences to interpret expressions. He contrasts this with the idea that models must be interpreted in a way that reflects a metaphysical structure of reality. The conversation also touches on the nature of provability operators and their relationship to logical frameworks, highlighting the distinction between formal languages and their interpretations in different contexts. | ||
