Abstract
Tangle machines are topologically inspired diagrammatic models. The novel feature of tangle machines is their natural notion of equivalence. Equivalent tangle machines may differ locally, but globally they share the same information content. The goal of tangle machine equivalence is to provide a context-independent method to select, from among many ways to perform a task, the ‘best’ way to perform the task. The concept of equivalent tangle machines is illustrated through an example in which tangle machines represent networks for distributed information processing.
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Moskovich, D., Carmi, A.Y. (2015). Tangle Machines. In: Calude, C., Dinneen, M. (eds) Unconventional Computation and Natural Computation. UCNC 2015. Lecture Notes in Computer Science(), vol 9252. Springer, Cham. https://doi.org/10.1007/978-3-319-21819-9_21
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DOI: https://doi.org/10.1007/978-3-319-21819-9_21
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