Order:
See also
  1.  19
    Epistemic Diversity and the Question of Lingua Franca in Science and Philosophy.Federico Gobbo & Federica Russo - 2020 - Foundations of Science 25 (1):185-207.
    Epistemic diversity is the ability or possibility of producing diverse and rich epistemic apparati to make sense of the world around us. In this paper we discuss whether, and to what extent, different conceptions of knowledge—notably as ‘justified true belief’ and as ‘distributed and embodied cognition’—hinder or foster epistemic diversity. We then link this discussion to the widespread move in science and philosophy towards monolingual disciplinary environments. We argue that English, despite all appearance, is no Lingua Franca, and we give (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  2.  43
    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. (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark  
  3.  21
    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 (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark