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  1.  32
    Towards a seamful ethics of Covid-19 contact tracing apps?Andrew S. Hoffman, Bart Jacobs, Bernard van Gastel, Hanna Schraffenberger, Tamar Sharon & Berber Pas - 2020 - Ethics and Information Technology 23 (1):105-115.
    In the early months of 2020, the deadly Covid-19 disease spread rapidly around the world. In response, national and regional governments implemented a range of emergency lockdown measures, curtailing citizens’ movements and greatly limiting economic activity. More recently, as restrictions begin to be loosened or lifted entirely, the use of so-called contact tracing apps has figured prominently in many jurisdictions’ plans to reopen society. Critics have questioned the utility of such technologies on a number of fronts, both practical and ethical. (...)
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  2.  50
    The inconsistency of higher order extensions of Martin-löf's type theory.Bart Jacobs - 1989 - Journal of Philosophical Logic 18 (4):399 - 422.
    Martin-Löf's constructive type theory forms the basis of this paper. His central notions of category and set, and their relations with Russell's type theories, are discussed. It is shown that addition of an axiom - treating the category of propositions as a set and thereby enabling higher order quantification - leads to inconsistency. This theorem is a variant of Girard's paradox, which is a translation into type theory of Mirimanoff's paradox (concerning the set of all well-founded sets). The occurrence of (...)
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  3.  8
    Medical research, Big Data and the need for privacy by design.Jean Popma & Bart Jacobs - 2019 - Big Data and Society 6 (1).
    Medical research data is sensitive personal data that needs to be protected from unauthorized access and unintentional disclosure. In a research setting, sharing of data within the scientific community is necessary in order to make progress and maximize scientific benefits derived from valuable and costly data. At the same time, convincingly protecting the privacy of people participating in medical research is a prerequisite for maintaining trust and willingness to share. In this commentary, we will address this issue and the pitfalls (...)
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  4.  25
    Semantics of weakening and contraction.Bart Jacobs - 1994 - Annals of Pure and Applied Logic 69 (1):73-106.
    The shriek modality \s! of linear logic performs two tasks: it restores in annotated from both weakening and contraction. We separate these tasks by introducing two modalities: for weakening and for contraction. These give rise to two logics which are “inbetween” linear and intuitionistic logic: in affine logic one always has a weakening and a for contraction and in relevant logic one always has a contraction and a weakening. The semantics of these logics is obtained from special kinds of monads, (...)
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  5.  57
    Dagger Categories of Tame Relations.Bart Jacobs - 2013 - Logica Universalis 7 (3):341-370.
    Within the context of an involutive monoidal category the notion of a comparison relation ${\mathsf{cp} : \overline{X} \otimes X \rightarrow \Omega}$ is identified. Instances are equality = on sets, inequality ${\leq}$ on posets, orthogonality ${\perp}$ on orthomodular lattices, non-empty intersection on powersets, and inner product ${\langle {-}|{-} \rangle}$ on vector or Hilbert spaces. Associated with a collection of such (symmetric) comparison relations a dagger category is defined with “tame” relations as morphisms. Examples include familiar categories in the foundations of quantum (...)
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  6.  44
    Involutive Categories and Monoids, with a GNS-Correspondence.Bart Jacobs - 2012 - Foundations of Physics 42 (7):874-895.
    This paper develops the basics of the theory of involutive categories and shows that such categories provide the natural setting in which to describe involutive monoids. It is shown how categories of Eilenberg-Moore algebras of involutive monads are involutive, with conjugation for modules and vector spaces as special case. A part of the so-called Gelfand–Naimark–Segal (GNS) construction is identified as an isomorphism of categories, relating states on involutive monoids and inner products. This correspondence exists in arbritrary involutive symmetric monoidal categories.
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  7.  6
    A Principled Approach to Expectation Maximisation and Latent Dirichlet Allocation Using Jeffrey’s Update Rule.Bart Jacobs - 2023 - In Helle Hvid Hansen, Andre Scedrov & Ruy J. G. B. De Queiroz (eds.), Logic, Language, Information, and Computation: 29th International Workshop, WoLLIC 2023, Halifax, NS, Canada, July 11–14, 2023, Proceedings. Springer Nature Switzerland. pp. 256-273.
    Expectation Maximisation (EM) and Latent Dirichlet Allocation (LDA) are two frequently used inference algorithms, for finding an appropriate mixture of latent variables, and for finding an allocation of topics for a collection of documents. A recent insight in probabilistic learning is that Jeffrey’s update rule gives a decrease of Kullback-Leibler divergence. Its logic is error correction. It is shown that this same rule and divergence decrease logic is at the heart of EM and LDA, ensuring that successive iterations are decreasingly (...)
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  8.  33
    Coreflections in Algebraic Quantum Logic.Bart Jacobs & Jorik Mandemaker - 2012 - Foundations of Physics 42 (7):932-958.
    Various generalizations of Boolean algebras are being studied in algebraic quantum logic, including orthomodular lattices, orthomodular po-sets, orthoalgebras and effect algebras. This paper contains a systematic study of the structure in and between categories of such algebras. It does so via a combination of totalization (of partially defined operations) and transfer of structure via coreflections.
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  9.  5
    Multisets and Distributions, in Drawing and Learning.Bart Jacobs - 2023 - In Alessandra Palmigiano & Mehrnoosh Sadrzadeh (eds.), Samson Abramsky on Logic and Structure in Computer Science and Beyond. Springer Verlag. pp. 1095-1146.
    Multisets are ‘sets’ in which elements may occur multiple times. Discrete probability distributions capture states in which elements may occur with probabilities that add up to one. This paper describes how the interaction between multisets and distributions lies at the heart of some basic constructions in probability theory, especially in distributions arising from drawing from an urn with multiple balls and in learning distributions from multiple occurrences of data. Drawing multiple balls from an urn is described uniformly in terms of (...)
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