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• W2154521708 abstract "We propose a novel, comonadic approach to dataflow (stream-based) computation. This is based on the observation that both general and causal stream functions can be characterized as coKleisli arrows of comonads and on the intuition that comonads in general must be a good means to structure context-dependent computation. In particular, we develop a generic comonadic interpreter of languages for context-dependent computation and instantiate it for stream-based computation. We also discuss distributive laws of a comonad over a monad as a means to structure combinations of effectful and context-dependent computation. We apply the latter to analyse clocked dataflow (partial stream based) computation." @default.
• W2154521708 created "2016-06-24" @default.
• W2154521708 creator A5069353491 @default.
• W2154521708 creator A5074922343 @default.
• W2154521708 date "2005-01-01" @default.
• W2154521708 modified "2023-10-17" @default.
• W2154521708 title "The Essence of Dataflow Programming" @default.
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• W2154521708 doi "https://doi.org/10.1007/11575467_2" @default.
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