Switch to: References

Add citations

You must login to add citations.
  1. A Pragmatic Theory of Computational Artefacts.Alessandro G. Buda & Giuseppe Primiero - 2024 - Minds and Machines 34 (1):139-170.
    Some computational phenomena rely essentially on pragmatic considerations, and seem to undermine the independence of the specification from the implementation. These include software development, deviant uses, esoteric languages and recent data-driven applications. To account for them, the interaction between pragmatics, epistemology and ontology in computational artefacts seems essential, indicating the need to recover the role of the language metaphor. We propose a User Levels (ULs) structure as a pragmatic complement to the Levels of Abstraction (LoAs)-based structure defining the ontology and (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  • Varieties of artifacts: Embodied, perceptual, cognitive, and affective.Richard Heersmink - 2021 - Topics in Cognitive Science (4):1-24.
    The primary goal of this essay is to provide a comprehensive overview and analysis of the various relations between material artifacts and the embodied mind. A secondary goal of this essay is to identify some of the trends in the design and use of artifacts. First, based on their functional properties, I identify four categories of artifacts co-opted by the embodied mind, namely (1) embodied artifacts, (2) perceptual artifacts, (3) cognitive artifacts, and (4) affective artifacts. These categories can overlap and (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   12 citations  
  • 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  
    		•
  • Miscomputation.Nir Fresco & Giuseppe Primiero - 2013 - Philosophy and Technology 26 (3):253-272.
    The phenomenon of digital computation is explained (often differently) in computer science, computer engineering and more broadly in cognitive science. Although the semantics and implications of malfunctions have received attention in the philosophy of biology and philosophy of technology, errors in computational systems remain of interest only to computer science. Miscomputation has not gotten the philosophical attention it deserves. Our paper fills this gap by offering a taxonomy of miscomputations. This taxonomy is underpinned by a conceptual analysis of the design (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   24 citations  
  • The Non-theory-driven Character of Computer Simulations and Their Role as Exploratory Strategies.Juan M. Durán - 2023 - Minds and Machines 33 (3):487-505.
    In this article, I focus on the role of computer simulations as exploratory strategies. I begin by establishing the non-theory-driven nature of simulations. This refers to their ability to characterize phenomena without relying on a predefined conceptual framework that is provided by an implemented mathematical model. Drawing on Steinle’s notion of exploratory experimentation and Gelfert’s work on exploratory models, I present three exploratory strategies for computer simulations: (1) starting points and continuation of scientific inquiry, (2) varying the parameters, and (3) (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
    		•
  • On the Experimental Foundation of Computing.Nicola Angius - 2022 - Axiomathes 32 (3):1221-1236.
    This paper offers a review of Giuseppe Primero’s (2020) book “On the foundations of computing”_._ Mathematical, engineering, and experimental foundations of the science of computing are examined under the light of the notions of formal, physical, and experimental computational validity provided by the author. It is challenged the thesis that experimental computational validity can be defined only for the algorithmic method and not for the software development process. The notions of computational hypothesis and computational experiment provided by Primiero (2020) are (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
    		•
  • Explaining Engineered Computing Systems’ Behaviour: the Role of Abstraction and Idealization.Nicola Angius & Guglielmo Tamburrini - 2017 - Philosophy and Technology 30 (2):239-258.
    This paper addresses the methodological problem of analysing what it is to explain observed behaviours of engineered computing systems, focusing on the crucial role that abstraction and idealization play in explanations of both correct and incorrect BECS. First, it is argued that an understanding of explanatory requests about observed miscomputations crucially involves reference to the rich background afforded by hierarchies of functional specifications. Second, many explanations concerning incorrect BECS are found to abstract away from descriptions of physical components and processes (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  • Social Ontology.Brian Epstein - 2018 - Stanford Encyclopedia of Philosophy.
    Social ontology is the study of the nature and properties of the social world. It is concerned with analyzing the various entities in the world that arise from social interaction. -/- A prominent topic in social ontology is the analysis of social groups. Do social groups exist at all? If so, what sorts of entities are they, and how are they created? Is a social group distinct from the collection of people who are its members, and if so, how is (...)
    Direct download  
     
    Export citation  
     
    Bookmark   30 citations  
  • Ciencia de la computación y filosofía: unidades de análisis del software.Juan Manuel Durán - 2018 - Principia 22 (2):203-227.
    Una imagen muy generalizada a la hora de entender el software de computador es la que lo representa como una “caja negra”: no importa realmente saber qué partes lo componen internamente, sino qué resultados se obtienen de él según ciertos valores de entrada. Al hacer esto, muchos problemas filosóficos son ocultados, negados o simplemente mal entendidos. Este artículo discute tres unidades de análisis del software de computador, esto es, las especificaciones, los algoritmos y los procesos computacionales. El objetivo central es (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
    		•