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  1.  12
    Proof-Oriented Categorical Semantics.Marco Benini - 2016 - In Peter Schuster & Dieter Probst (eds.), Concepts of Proof in Mathematics, Philosophy, and Computer Science. Boston: De Gruyter. pp. 41-68.
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  2.  12
    Well quasi orders in a categorical setting.Marco Benini & Roberta Bonacina - 2019 - Archive for Mathematical Logic 58 (3-4):501-526.
    This article describes well quasi orders as a category, focusing on limits and colimits. In particular, while quasi orders with monotone maps form a category which is finitely complete, finitely cocomplete, and with exponentiation, the full subcategory of well quasi orders is finitely complete and cocomplete, but with no exponentiation. It is interesting to notice how finite antichains and finite proper descending chains interact to induce this structure in the category: in fact, the full subcategory of quasi orders with finite (...)
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  3.  57
    The Minimal Levels of Abstraction in the History of Modern Computing.Federico Gobbo & Marco Benini - 2014 - Philosophy and Technology 27 (3):327-343.
    From the advent of general purpose, Turing-complete machines, the relation between operators, programmers and users with computers can be observed as interconnected informational organisms (inforgs), henceforth analysed with the method of levels of abstraction (LoAs), risen within the philosophy of information (PI). In this paper, the epistemological levellism proposed by L. Floridi in the PI to deal with LoAs will be formalised in constructive terms using category theory, so that information itself is treated as structure-preserving functions instead of Cartesian products. (...)
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  4.  31
    What Can We Know of Computational Information? Measuring, Quantity, and Quality at Work in Programmable Artifacts.Federico Gobbo & Marco Benini - 2016 - Topoi 35 (1):203-212.
    This paper explores the problem of knowledge in computational informational organisms, i.e. organisms that include a computing machinery at the artifact side. Although information can be understood in many ways, from the second half of the past century information is getting more and more digitised, von Neumann machines becoming dominant. Computational information is a challenge for the act of measuring, as neither purely quantitative nor totally qualitative approaches satisfy the need to explain the interplay among the agents producing and managing (...)
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