Philosophy of Computing and Information

Edited by Giuseppe Primiero (Università degli Studi di Milano)
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  1. The Fate of Explanatory Reasoning in the Age of Big Data.Frank Cabrera - forthcoming - Philosophy and Technology.
    In this paper, I critically evaluate several related, provocative claims made by proponents of data-intensive science and “Big Data” which bear on scientific methodology, especially the claim that scientists will soon no longer have any use for familiar concepts like causation and explanation. After introducing the issue, in section 2, I elaborate on the alleged changes to scientific method that feature prominently in discussions of Big Data. In section 3, I argue that these methodological claims are in tension with a (...)
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    Computation and Physical Systems
     Analog and Digital Computation
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     Quantum Computation
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    Phil of Information
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     Physics of Information
     Information-Based Accounts of Mental Content
     Ontology of Information Artifacts
     Genetic Information
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     Biomedical Information
     Quantum Information
     Logic and Information
     Phil of Information, Misc
    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
     Theory of Computation, Misc
    Philosophy of Technology
     Phil of Technology, Misc
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  2. Logic in Knowledge Representation and Reasoning: Central Topics Via Readings.Luis M. Augusto - manuscript
    Logic has been a—disputed—ingredient in the emergence and development of the now very large field known as knowledge representation and reasoning. In this book (in progress), I select some central topics in this highly fruitful, albeit controversial, association (e.g., non-monotonic reasoning, implicit belief, logical omniscience, closed world assumption), identifying their sources and analyzing/explaining their elaboration in highly influential published work.
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    Theory of Computation
     The Church-Turing Thesis
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    Philosophy of Technology
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  3. Cloud Data Security Using Elliptic Curve Cryptography.Arockia Panimalars, N. Dharani, R. Aiswarya & Pavithra Shailesh - 2017 - International Research Journal of Engineering and Technology 9 (4).
    Data security is, protecting data from ill- conceived get to, utilize, introduction, intrusion, change, examination, recording or destruction. Cloud computing is a sort of Internet-based computing that grants conjoint PC handling resources and information to PCs what's more, different gadgets according to necessity. It is a model that empowers universal, on-request access to a mutual pool of configurable computing resources. At present, security has been viewed as one of the best issues in the improvement of Cloud Computing. The key issue (...)
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    Theory of Computation
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  4. Offline Privacy Preserving Proxy Re-Encryption in Mobile Cloud Computing.Arthur Sandor Voundi Koe & Yaping Lin - 2019 - Pervasive and Mobile Computing 59.
    This paper addresses the always online behavior of the data owner in proxy re- encryption schemes for re-encryption keys issuing. We extend and adapt multi-authority ciphertext policy attribute based encryption techniques to type-based proxy re-encryption to build our solution. As a result, user authentication and user authorization are moved to the cloud server which does not require further interaction with the data owner, data owner and data users identities are hidden from the cloud server, and re-encryption keys are only issued (...)
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  5. Introduction to the Neoclassical Interpretation: Quantum Steampunk.Shiva Meucci - forthcoming - Cosmos and History: The Journal of Natural and Social Philosophy.
    In a previous paper we outlined a series of historical touchpoints between classical aether theories and modern theoretical physics which showed a shared conceptual lineage for the modern tools and methods of the most common interpretations and fluid based “Hydrodynamic” treatments of an electromagnetic medium. It was proposed that, though the weight of modern experimentation leaves an extremely narrow and convoluted window for even a reconceptualization of a medium, all of modern physics recognizes a plethora of behaviors and attributes for (...)
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    Computer Simulation and Virtual Reality
     Simulation and Reality
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     Ontology of Information Artifacts
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     Phil of Information, Misc
    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
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    Philosophy of Technology
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  6. Mind, Cognition, Semiosis: Ways to Cognitive Semiotics.Piotr Konderak - 2018 - Lublin, Polska: Maria Curie-Sklodowska University Press.
    What is meaning-making? How do new domains of meanings emerge in the course of child’s development? What is the role of consciousness in this process? What is the difference between making sense of pointing, pantomime and language utterances? Are great apes capable of meaning-making? What about dogs? Parrots? Can we, in any way, relate their functioning and behavior to a child’s? Are artificial systems capable of meaning-making? -/- The above questions motivated the emergence of cognitive semiotics as a discipline devoted (...)
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    Computer Ethics
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    Computer Simulation and Virtual Reality
     Simulation and Reality
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     Genetic Information
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    Theory of Computation
     The Church-Turing Thesis
     Algorithmic Complexity
     Computability
     Computational Complexity
     Hypercomputation
     Theory of Computation, Misc
    Philosophy of Technology
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  7. Calibrating Generative Models: The Probabilistic Chomsky-Schützenberger Hierarchy.Thomas Icard - forthcoming - Journal of Mathematical Psychology 95.
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  8. Logikdiagramme und Logikmaschinen aus der Zittauer Schule um Christian Weise.Jens Lemanski - 2019 - Neues Lausitzische Magazin 141 (1):39-57.
    A particularly promising trail on the search for forgotten logic diagrams leads to Upper Lusatia in the 17th century, more precisely to Christian Weise and his students. Samuel Grosser, who later became rector in Görlitz, and Johann Christian Lange, who later became professor of logic at the University of Gießen, are the most prominent to have published remarkable logic diagrams. Even more remarkable, however, is the fact that Lange's interest in these diagrams ultimately gave rise to the idea of building (...)
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  9. Data Science and Molecular Biology: Prediction and Mechanistic Explanation.Ezequiel López-Rubio & Emanuele Ratti - 2019 - Synthese:1-26.
    In the last few years, biologists and computer scientists have claimed that the introduction of data science techniques in molecular biology has changed the characteristics and the aims of typical outputs (i.e. models) of such a discipline. In this paper we will critically examine this claim. First, we identify the received view on models and their aims in molecular biology. Models in molecular biology are mechanistic and explanatory. Next, we identify the scope and aims of data science (machine learning in (...)
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    Theory of Computation
     The Church-Turing Thesis
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     Computational Complexity
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    Philosophy of Technology
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  10. Cognition and the Structure of Bias.Gabbrielle Johnson - 2019 - Dissertation, University of California, Los Angeles
    I argue that there exists a natural kind social bias that subsumes seemingly heterogenous cases of implicit bias and other forms of social cognition. I explore the implications of this explicated notion of bias for the organization of the mind, theories of consciousness, and the system-dependence of biases.
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     The Church-Turing Thesis
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  11. Scientific Metaphysics and Information.Bruce Long - forthcoming - Springer.
    This book investigates the interplay between two new and influential subdisciplines in the philosophy of science and philosophy: contemporary scientific metaphysics and the philosophy of information. Scientific metaphysics embodies various scientific realisms and has a partial intellectual heritage in some forms of neo-positivism, but is far more attuned than the latter to statistical science, theory defeasibility, scale variability, and pluralist ontological and explanatory commitments, and is averse to a-priori conceptual analysis. The philosophy of information is the combination of what has (...)
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     Ontology of Information Artifacts
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     Biological Information
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    Theory of Computation
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  12. "Quantum Field Theory and Coalgebraic Logic in Theoretical Computer Science.Giuseppe Vitiello Gianfanco Basti, Antonio Capolupo - 2017 - Progress in Biophysics and Molecular Biology 130:39-52.
    In this paper we suggest that in the framework of the Category Theory it is possible to demonstrate the mathematical and logical dual equivalence between the category of the q-deformed Hopf Coalgebras and the category of the q-deformed Hopf Algebras in QFT, interpreted as a thermal field theory. Each pair algebra-coalgebra characterizes, indeed, a QFT system and its mirroring thermal bath, respectively, so to model dissipative quantum systems persistently in far-from-equilibrium conditions, with an evident significance also for biological sciences. The (...)
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  13. Independence of the Grossone-Based Infinity Methodology From Non-Standard Analysis and Comments Upon Logical Fallacies in Some Texts Asserting the Opposite.Yaroslav Sergeyev - 2019 - Foundations of Science 24 (1):153-170.
    This paper considers non-standard analysis and a recently introduced computational methodology based on the notion of ①. The latter approach was developed with the intention to allow one to work with infinities and infinitesimals numerically in a unique computational framework and in all the situations requiring these notions. Non-standard analysis is a classical purely symbolic technique that works with ultrafilters, external and internal sets, standard and non-standard numbers, etc. In its turn, the ①-based methodology does not use any of these (...)
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  14. Non Classical Concept Representation and Reasoning in Formal Ontologies.Antonio Lieto - 2012 - Dissertation, Università Degli Studi di Salerno
    Formal ontologies are nowadays widely considered a standard tool for knowledge representation and reasoning in the Semantic Web. In this context, they are expected to play an important role in helping automated processes to access information. Namely: they are expected to provide a formal structure able to explicate the relationships between different concepts/terms, thus allowing intelligent agents to interpret, correctly, the semantics of the web resources improving the performances of the search technologies. Here we take into account a problem regarding (...)
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  15. Scientific Knowledge in the Age of Computation: Explicated, Computable and Manageable?Sophia Efstathiou, Rune Nydal, Astrid Lægreid & Martin Kuiper - forthcoming - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia.
    Through an empirical account of Knowledge Management-enabled research in systems biology, we argue that computational KM helps produce new first-order biological knowledge, in new ways. KM is enabled by conceiving of ‘knowledge’ as an object for computational science: explicated in the text of biological articles and computable via appropriate data and metadata. These founded concepts risk underestimating practice-based knowing in ensuring the validity of ‘manageable’ knowledge as knowledge.
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  16. The Olympic Medals Ranks, Lexicographic Ordering and Numerical Infinities.Yaroslav Sergeyev - 2015 - The Mathematical Intelligencer 37 (2):4-8.
    Several ways used to rank countries with respect to medals won during Olympic Games are discussed. In particular, it is shown that the unofficial rank used by the Olympic Committee is the only rank that does not allow one to use a numerical counter for ranking – this rank uses the lexicographic ordering to rank countries: one gold medal is more precious than any number of silver medals and one silver medal is more precious than any number of bronze medals. (...)
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  17. The Exact (Up to Infinitesimals) Infinite Perimeter of the Koch Snowflake and its Finite Area.Yaroslav Sergeyev - 2016 - Communications in Nonlinear Science and Numerical Simulation 31 (1-3):21–29.
    The Koch snowflake is one of the first fractals that were mathematically described. It is interesting because it has an infinite perimeter in the limit but its limit area is finite. In this paper, a recently proposed computational methodology allowing one to execute numerical computations with infinities and infinitesimals is applied to study the Koch snowflake at infinity. Numerical computations with actual infinite and infinitesimal numbers can be executed on the Infinity Computer being a new supercomputer patented in USA and (...)
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  18. The Difficulty of Prime Factorization is a Consequence of the Positional Numeral System.Yaroslav Sergeyev - 2016 - International Journal of Unconventional Computing 12 (5-6):453–463.
    The importance of the prime factorization problem is very well known (e.g., many security protocols are based on the impossibility of a fast factorization of integers on traditional computers). It is necessary from a number k to establish two primes a and b giving k = a · b. Usually, k is written in a positional numeral system. However, there exists a variety of numeral systems that can be used to represent numbers. Is it true that the prime factorization is (...)
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  19. Grounding Knowledge and Normative Valuation in Agent-Based Action and Scientific Commitment.Catherine Elizabeth Kendig - 2018 - In Hauke Riesch, Nathan Emmerich & Steven Wainwright (eds.), Philosophies and Sociologies of Bioethics: Crossing the Divides. Cham, Switzerland: pp. 41-64.
    Philosophical investigation in synthetic biology has focused on the knowledge-seeking questions pursued, the kind of engineering techniques used, and on the ethical impact of the products produced. However, little work has been done to investigate the processes by which these epistemological, metaphysical, and ethical forms of inquiry arise in the course of synthetic biology research. An attempt at this work relying on a particular area of synthetic biology will be the aim of this chapter. I focus on the reengineering of (...)
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  20. Causation in Population Health Informatics and Data Science.Olaf Dammann & Benjamin Smart - 2019 - New York, NY, USA: Springer Verlag.
    This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research. Key concepts covered include how data are generated and interpreted, and how and why concepts in health informatics and the philosophy of science should be integrated in a systems-thinking approach. Furthermore, a formal epistemology for the health sciences and public health is suggested. -/- Causation in Population Health Informatics and Data Science provides a detailed guide of the latest thinking (...)
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  21. Artificiell Intelligens: Tankar utan innehåll?Sten Lindström & Ingar Brinck - 1993 - In Åke E. Andersson & Nils-Eric Sahlin (eds.), Huvudinnehåll: Tolv Filosofiska Uppsatser. 641 91 Nora, Sverige: pp. 121-146.
    Artificiell intelligens (AI) är ett ungt forskningsområde där många av de grundläggande problemen förefaller att vara av filosofisk art.1 Ämnet har sina filosofiska rötter dels i traditionen från Leibniz, Frege, Russell och Hilbert, som strävar efter att formalisera principerna för exakt tänkande, dels i den klassiska mekanismen: idén att människan är en maskin och att det mänskliga tänkandet är en mekanisk process. Som en första approximation kan vi säga att AI är det vetenskapliga studiet av hur man konstruerar och bygger (...)
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  22. Representations Are Rate-Distortion Sweet Spots.Manolo Martínez - 2018 - Philosophy of Science.
    Information is widely perceived as essential to the study of communication and representation; still, theorists working on these topics often take themselves not to be centrally concerned with "Shannon information", as it is often put, but with some other, sometimes called "semantic" or "nonnatural",kind of information. This perception is wrong. Shannon's theory of information is the only one we need. -/- I intend to make good on this last assertion by canvassing a fully (Shannon) informational answer to the metasemantic question (...)
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  23. Mechanistic Models and the Explanatory Limits of Machine Learning.Emanuele Ratti & Ezequiel López-Rubio - unknown
    We argue that mechanistic models elaborated by machine learning cannot be explanatory by discussing the relation between mechanistic models, explanation and the notion of intelligibility of models. We show that the ability of biologists to understand the model that they work with severely constrains their capacity of turning the model into an explanatory model. The more a mechanistic model is complex, the less explanatory it will be. Since machine learning increases its performances when more components are added, then it generates (...)
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  24. Categories of Art and Computers: A Question of Artistic Style.William Seeley - 2017 - American Society for Aesthetics Newsletter 37 (3):9-11.
    Recent interdisciplinary research in visual stylometry employs digital image analysis algorithms to study the image features and statistics that underwrite our experience of artworks. This research brings psychologists, computer scientists, and art historians together to explore the formal image qualities that define artistic style. We introduce the field of visual stylometry, discuss it's implications for our understanding of both the nature of categories of art and the role artistic style plays in our engagement with artworks. We then discuss the results (...)
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  25. Convergence, Continuity and Recurrence in Dynamic Epistemic Logic.Dominik Klein & Rasmus K. Rendsvig - 2017 - In Alexandru Baltag, Jeremy Seligman & Tomoyuki Yamada (eds.), Logic, Rationality, and Interaction (LORI 2017, Sapporo, Japan). Springer. pp. 108-122.
    The paper analyzes dynamic epistemic logic from a topological perspective. The main contribution consists of a framework in which dynamic epistemic logic satisfies the requirements for being a topological dynamical system thus interfacing discrete dynamic logics with continuous mappings of dynamical systems. The setting is based on a notion of logical convergence, demonstratively equivalent with convergence in Stone topology. Presented is a flexible, parametrized family of metrics inducing the latter, used as an analytical aid. We show maps induced by action (...)
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  26. The Universe as a Computer Game, From Virtual to Actual Reality.Alfred Driessen - 2018 - Scientia et Fides 6 (1):31-52.
    From the very beginning of ancient Greek philosophy up to the present day a puzzling correlation is found between rationality and reality. In this study this relation is examined with emphasis on the philosophical tradition of Aristotle and Aquinas. A comparison is made with the virtual reality created by computers and actual reality of our universe. The view expressed in the scientific neopositivism of Jordan and Mach is found to be an adequate approach to avoid contradictions in the interpretation of (...)
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  27. realizzazione siti web professionali.Author unknown - 2018 - Realizzazione Siti 11111 (1111):2018.
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  28. Remarks on Logic for Process Descriptions in Ontological Reasoning: A Drug Interaction Ontology Case Study.Mitsuhiro Okada, Barry Smith & Yutaro Sugimoto - 2008 - In InterOntology. Proceedings of the First Interdisciplinary Ontology Meeting, Tokyo, Japan, 26-27 February 2008. Tokyo: Keio University Press. pp. 127-138.
    We present some ideas on logical process descriptions, using relations from the DIO (Drug Interaction Ontology) as examples and explaining how these relations can be naturally decomposed in terms of more basic structured logical process descriptions using terms from linear logic. In our view, the process descriptions are able to clarify the usual relational descriptions of DIO. In particular, we discuss the use of logical process descriptions in proving linear logical theorems. Among the types of reasoning supported by DIO one (...)
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  29. Editorial. Special Issue on Integral Biomathics: The Necessary Conjunction of the Western and Eastern Thought Traditions for Exploring the Nature of Mind and Life.Plamen L. Simeonov, Arran Gare, Koichiro Matsuno & Abir U. Igamberdiev - forthcoming - Progress in Biophysics and Molecular Biology 131 (Special).
    The idea about this special issue came from a paper published as an updated and upridged version of an older memorial lecture given by Brian D. Josephson and Michael Conrad at the Gujarat Vidyapith University in Ahmedabad, India on March 2, 1984. The title of this paper was “Uniting Eastern Philosophy and Western Science” (1992). We thought that this topic deserves to be revisited after 25 years to demonstrate to the scientific community which new insights and achievements were attained in (...)
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  30. Noam Chomsky on Where Artificial Intelligence Went Wrong.Yarden Katz - 2012 - The Atlantic.
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  31. The Theory of Chaos. [REVIEW]Steven James Bartlett - 1988 - Methodology and Science: Interdisciplinary Journal for the Empirical Study of the Foundations of Science and Their Methodology 21 (4):300-303.
    A review of James Glieck's _Chaos: Making a New Science_, noting how nonmonotonic functions self-referentially take on their own values and lead to complexity without randomness.
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  32. The Art of Collectively Loving Well in the Digital Age.Kate Milberry - 2017 - Foundations of Science 22 (2):297-300.
    In this response to Pieter Lemmens’ post-autonomist evaluation of the liberatory potential of digital network technologies, Kate Milberry finds the concept of pharmakon as a diagnostic to uncover what ails the worker in technocapitalism wanting. Through an exploration of Marxian concepts and critical theory of technology, she explores ways to augment political responses to capitalist exploitation in the digital age. Milberry concludes that it is not possible to change the sociotechnical foundation of contemporary life until we fundamentally alter the capitalist (...)
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  33. ISB Computer-Leaders in Computer Printers and Accessories.Isbcomputer Isbcomputer (ed.) - 24/05/2016 - Indore: isbcomputer.
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  34. Exact Expressions for Some Randomness Tests.Peter Gács - 1980 - Mathematical Logic Quarterly 26 (25-27):385-394.
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  35. Using a Computer in the Field : Kinship Information.Daniela Weinberg & Gerald M. Weinberg - 1972 - Social Science Information 11 (6):37-59.
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  36. On the Design of Computer-Based Information Systems.Ithiel De Sola Pool, Stuart McIntosh & David Griffel - 1969 - Social Science Information 8 (5):69-118.
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  37. Information Technology, Decision, Time.Angelo Failla & Sebastiano Bagnara - 1992 - Social Science Information 31 (4):669-681.
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  38. Simulation Models of the Evolution of Cooperation as Proofs of Logical Possibilities. How Useful Are They?Eckhart Arnold - 2013 - Ethics and Politics 2 (XV):101-138.
    This paper discusses critically what simulation models of the evolution of cooperation can possibly prove by examining Axelrod’s “Evolution of Cooperation” (1984) and the modeling tradition it has inspired. Hardly any of the many simulation models in this tradition have been applicable empirically. Axelrod’s role model suggested a research design that seemingly allowed to draw general conclusions from simulation models even if the mechanisms that drive the simulation could not be identified empirically. But this research design was fundamentally flawed. At (...)
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  39. Uniform Computer Information Transactions Act.Paul Volken & Petar Sarcevic - 2009 - In Paul Volken & Petar Sarcevic (eds.), Yearbook of Private International Law: Volume Ii. Sellier de Gruyter.
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  40. Influential Factors and User Behavior of Mobile Reading.Fen Jiang, Fei Meng, Jianliang Wei & Yi Zhou - 2015 - Journal of Intelligent Systems 24 (2):223-234.
    With the popularization of mobile Internet and smart terminals, mobile reading with diversity and mobility has become a hot issue in the industry and academia. This article comes up with a hypothetical model of mobile reading user acceptance behavior based on the technology acceptance model and unified theory of acceptance and use of technology and conducts an analysis of the reliability and validity of questionnaire data. Based on this, the model fitness is analyzed as well as the path hypotheses testing. (...)
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  41. NPSNET: Four User Interface Paradigms for Entity Control in a Virtual World.David Pratt, John Locke, Paul Barham & John Falby - 1995 - Journal of Intelligent Systems 5 (2-4):89-110.
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  42. Quantum Deep Learning Triuniverse.Angus McCoss - 2016 - Journal of Quantum Information Science 6 (4).
    An original quantum foundations concept of a deep learning computational Universe is introduced. The fundamental information of the Universe (or Triuniverse)is postulated to evolve about itself in a Red, Green and Blue (RGB) tricoloured stable self-mutuality in three information processing loops. The colour is a non-optical information label. The information processing loops form a feedback-reinforced deep learning macrocycle with trefoil knot topology. Fundamental information processing is driven by ψ-Epistemic Drive, the Natural appetite for information selected for advantageous knowledge. From its (...)
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  43. Big Data, Epistemology and Causality: Knowledge in and Knowledge Out in EXPOsOMICS.Stefano Canali - 2016 - Big Data and Society 3 (2).
    Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal knowledge is necessary for (...)
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  44. Aboutness: Towards Foundations for the Information Artifact Ontology.Werner Ceusters & Barry Smith - 2015 - In Proceedings of the Sixth International Conference on Biomedical Ontology (ICBO). CEUR vol. 1515. pp. 1-5.
    The Information Artifact Ontology (IAO) was created to serve as a domain‐neutral resource for the representation of types of information content entities (ICEs) such as documents, data‐bases, and digital im‐ages. We identify a series of problems with the current version of the IAO and suggest solutions designed to advance our understanding of the relations between ICEs and associated cognitive representations in the minds of human subjects. This requires embedding IAO in a larger framework of ontologies, including most importantly the Mental (...)
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