Results for 'algorithmic logic'

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  1.  6
    Algorithmic logic. Multiple-valued extensions.Helena Rasiowa - 1979 - Studia Logica 38 (4):317 - 335.
    Extended algorithmic logic (EAL) as introduced in [18] is a modified version of extended +-valued algorithmic logic. Only two-valued predicates and two-valued propositional variables occur in EAL. The role of the +-valued logic is restricted to construct control systems (stacks) of pushdown algorithms whereas their actions are described by means of the two-valued logic. Thus EAL formalizes a programming theory with recursive procedures but without the instruction CASE.The aim of this paper is to discuss (...)
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  2.  2
    An Algorithmic Logic Approach to Formalizing Database Update Semantics.James Brawner & James Vorbach - 1998 - Journal of Applied Non-Classical Logics 8 (3):199-220.
    ABSTRACT To more efficiently cover a wide spectrum of conceptual modeling applications such as computer-aided design, computer-aided manufacturing, and medical information systems, we envision multi-paradigm design environments which have reasoning capability to support analyzing specifcations for correctness. For such applications, information system designers employ conceptual models characterized by semantically-rich specification languages. The problem of providing a comprehensive formal framework for such languages has not been adequately addressed. This paper investigates a formal system for this purpose called Event-Formula Logic (EFL). (...)
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  3.  12
    Abstraction in Algorithmic Logic.Wayne Aitken & Jeffrey A. Barrett - 2008 - Journal of Philosophical Logic 37 (1):23-43.
    We develop a functional abstraction principle for the type-free algorithmic logic introduced in our earlier work. Our approach is based on the standard combinators but is supplemented by the novel use of evaluation trees. Then we show that the abstraction principle leads to a Curry fixed point, a statement C that asserts C ⇒ A where A is any given statement. When A is false, such a C yields a paradoxical situation. As discussed in our earlier work, this (...)
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  4.  5
    Stability and Paradox in Algorithmic Logic.Wayne Aitken & Jeffrey A. Barrett - 2007 - Journal of Philosophical Logic 36 (1):61-95.
    There is significant interest in type-free systems that allow flexible self-application. Such systems are of interest in property theory, natural language semantics, the theory of truth, theoretical computer science, the theory of classes, and category theory. While there are a variety of proposed type-free systems, there is a particularly natural type-free system that we believe is prototypical: the logic of recursive algorithms. Algorithmic logic is the study of basic statements concerning algorithms and the algorithmic rules of (...)
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  5.  4
    The program-substitution in algorithmic logic and algorithmic logic with non-deterministic programs.Andrzej Biela - 1984 - Bulletin of the Section of Logic 13 (2):69-72.
    This note presents a point of view upon the notions of programsubstitution which are the tools for proving properties of programs of algorithmic logics [5], [3] being sufficiently strong and universal to comprise almost all previously introduced theories of programming, and the so-called extended algorithmic logic [1], [2] and algorithmic logic with nondeterministic programs [4]. It appears that the mentioned substitution rule allows us to examine more deeply algorithmic properties of terms, formulas and programs. (...)
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  6.  1
    Algorithmic Logic.E. Engeler - 1977 - Journal of Symbolic Logic 42 (3):420-421.
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  7.  1
    Algorithmic Logic.E. Engeler - 1989 - Journal of Symbolic Logic 54 (3):1105-1106.
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  8.  2
    Many-valued algorithmic logic as a tool to investigate programs.H. Rasiowa - 1977 - In J. M. Dunn & G. Epstein (eds.), Modern Uses of Multiple-Valued Logic. D. Reidel. pp. 77--102.
  9.  1
    Review: E. Engeler, Algorithmic Logic[REVIEW]Andrzej Salwicki - 1977 - Journal of Symbolic Logic 42 (3):420-421.
  10.  25
    Logic, Spatial Algorithms and Visual Reasoning.Andrew Schumann & Jens Lemanski - 2022 - Logica Universalis 16 (4):535-543.
    Spatial and diagrammatic reasoning is a significant part not only of logical abilities, but also of logical studies. The authors of this paper consider some novel trends in studying this type of reasoning. They show that there are the following two main trends in spatial logic: (i) logical studies of the distribution of various objects in space (logic of geometry, logic of colors, etc.); (ii) logical studies of the space algorithms applied by nature itself (logic of (...)
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  11.  1
    Engeler E.. Algorithmic logic. Foundations of computer science, edited by de Bakker J. W., Mathematical Centre Tracts 63, Mathematisch Centrum, Amsterdam 1975, pp. 55–85. [REVIEW]Andrzej Salwicki - 1977 - Journal of Symbolic Logic 42 (3):420-421.
  12.  2
    Algorithmic correspondence for hybrid logic with binder.Zhiguang Zhao - 2023 - Logic Journal of the IGPL 31 (1):39-67.
    In the present paper, we develop the algorithmic correspondence theory for hybrid logic with binder |$\mathcal {H}(@, \downarrow )$|⁠. We define the class of Sahlqvist inequalities for |$\mathcal {H}(@, \downarrow )$|⁠, and each inequality of which is shown to have a first-order frame correspondent effectively computable by an algorithm |$\textsf {ALBA}^{\downarrow }$|⁠.
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  13.  18
    Logics for algorithmic chemistries.Ceth Lightfield - 2021 - Foundations of Chemistry 23 (2):225-237.
    Algorithmic chemistries are often based on a fixed formalism which limits the fragment of chemistry expressible in the domain of the models. This results in limited applicability of the models in contemporary mathematical chemistry and is due to the poor fit between the logic used for model construction and the system being modeled. In this paper, I propose a system-oriented methodology which selects a formalism through a mapping of chemical transformation rules to proof-theoretic structural rules. Using a formal (...)
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  14. Algorithmic correspondence and completeness in modal logic. V. Recursive extensions of SQEMA.Willem Conradie, Valentin Goranko & Dimitar Vakarelov - 2010 - Journal of Applied Logic 8 (4):319-333.
    The previously introduced algorithm \sqema\ computes first-order frame equivalents for modal formulae and also proves their canonicity. Here we extend \sqema\ with an additional rule based on a recursive version of Ackermann's lemma, which enables the algorithm to compute local frame equivalents of modal formulae in the extension of first-order logic with monadic least fixed-points \mffo. This computation operates by transforming input formulae into locally frame equivalent ones in the pure fragment of the hybrid mu-calculus. In particular, we prove (...)
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  15.  14
    On logic of complex algorithms.Helena Rasiowa - 1981 - Studia Logica 40 (3):289 - 310.
    An algebraic approach to programs called recursive coroutines — due to Janicki [3] — is based on the idea to consider certain complex algorithms as algebraics models of those programs. Complex algorithms are generalizations of pushdown algorithms being algebraic models of recursive procedures (see Mazurkiewicz [4]). LCA — logic of complex algorithms — was formulated in [11]. It formalizes algorithmic properties of a class of deterministic programs called here complex recursive ones or interacting stacks-programs, for which complex algorithms (...)
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  16.  3
    Mathematical logic, the theory of algorithms, and the theory of sets.S. I. Adi︠a︡n (ed.) - 1977 - Providence, R.I.: American Mathematical Society.
    Proceedings of the Steklov Institute of Mathematics is a cover-to-cover translation of the Trudy Matematicheskogo Instituta imeni V.A. Steklova of the Russian Academy of Sciences. Each issue ordinarily contains either one book-length article or a collection of articles pertaining to the same topic.
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  17.  54
    Algorithmic correspondence and completeness in modal logic. IV. Semantic extensions of SQEMA.Willem Conradie & Valentin Goranko - 2008 - Journal of Applied Non-Classical Logics 18 (2):175-211.
    In a previous work we introduced the algorithm \SQEMA\ for computing first-order equivalents and proving canonicity of modal formulae, and thus established a very general correspondence and canonical completeness result. \SQEMA\ is based on transformation rules, the most important of which employs a modal version of a result by Ackermann that enables elimination of an existentially quantified predicate variable in a formula, provided a certain negative polarity condition on that variable is satisfied. In this paper we develop several extensions of (...)
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  18.  6
    Mirkowska G. and Salwicki A.. Algorithmic logic. D. Reidel Publishing Company, Dordrecht etc., and PWN-Polish Scientific Publishers, Warsaw, 1987, xi+ 372 pp. [REVIEW]E. Engeler - 1989 - Journal of Symbolic Logic 54 (3):1105-1106.
  19.  1
    Review: G. Mirkowska, A. Salwicki, Algorithmic Logic[REVIEW]E. Engler - 1989 - Journal of Symbolic Logic 54 (3):1105-1106.
  20.  30
    Discrete linear temporal logic with current time point clusters, deciding algorithms.V. Rybakov - 2008 - Logic and Logical Philosophy 17 (1-2):143-161.
    The paper studies the logic TL(NBox+-wC) – logic of discrete linear time with current time point clusters. Its language uses modalities Diamond+ (possible in future) and Diamond- (possible in past) and special temporal operations, – Box+w (weakly necessary in future) and Box-w (weakly necessary in past). We proceed by developing an algorithm recognizing theorems of TL(NBox+-wC), so we prove that TL(NBox+-wC) is decidable. The algorithm is based on reduction of formulas to inference rules and converting the rules in (...)
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  21.  10
    An overview of tableau algorithms for description logics.Franz Baader & Ulrike Sattler - 2001 - Studia Logica 69 (1):5-40.
    Description logics are a family of knowledge representation formalisms that are descended from semantic networks and frames via the system Kl-one. During the last decade, it has been shown that the important reasoning problems (like subsumption and satisfiability) in a great variety of description logics can be decided using tableau-like algorithms. This is not very surprising since description logics have turned out to be closely related to propositional modal logics and logics of programs (such as propositional dynamic logic), for (...)
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  22.  3
    Logic and algorithms.Robert R. Korfhage - 1966 - New York,: Wiley.
  23.  19
    On Algorithmic Properties of Propositional Inconsistency-Adaptive Logics.Sergei P. Odintsov & Stanislav O. Speranski - 2012 - Logic and Logical Philosophy 21 (3):209-228.
    The present paper is devoted to computational aspects of propositional inconsistency-adaptive logics. In particular, we prove (relativized versions of) some principal results on computational complexity of derivability in such logics, namely in cases of CLuN r and CLuN m , i.e., CLuN supplied with the reliability strategy and the minimal abnormality strategy, respectively.
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  24.  1
    Algorithms in cognition, informatics and logic: A position manifesto.D. Gabbay & J. Siekmann - 2010 - Logic Journal of the IGPL 18 (6):763-768.
  25.  9
    Algorithmic proof methods and cut elimination for implicational logics part I: Modal implication.Dov M. Gabbay & Nicola Olivetti - 1998 - Studia Logica 61 (2):237-280.
    In this work we develop goal-directed deduction methods for the implicational fragment of several modal logics. We give sound and complete procedures for strict implication of K, T, K4, S4, K5, K45, KB, KTB, S5, G and for some intuitionistic variants. In order to achieve a uniform and concise presentation, we first develop our methods in the framework of Labelled Deductive Systems [Gabbay 96]. The proof systems we present are strongly analytical and satisfy a basic property of cut admissibility. We (...)
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  26.  8
    Advances in Contemporary Logic and Computer Science: Proceedings of the Eleventh Brazilian Conference on Mathematical Logic, May 6-10, 1996, Salvador, Bahia, Brazil.Walter A. Carnielli, Itala M. L. D'ottaviano & Brazilian Conference on Mathematical Logic - 1999 - American Mathematical Soc..
    This volume presents the proceedings from the Eleventh Brazilian Logic Conference on Mathematical Logic held by the Brazilian Logic Society in Salvador, Bahia, Brazil. The conference and the volume are dedicated to the memory of professor Mario Tourasse Teixeira, an educator and researcher who contributed to the formation of several generations of Brazilian logicians. Contributions were made from leading Brazilian logicians and their Latin-American and European colleagues. All papers were selected by a careful refereeing processs and were (...)
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  27.  9
    Algorithmic correspondence and canonicity for distributive modal logic.Willem Conradie & Alessandra Palmigiano - 2012 - Annals of Pure and Applied Logic 163 (3):338-376.
  28.  10
    Algorithmic Correspondence for Relevance Logics I. The Algorithm PEARL\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathsf {PEARL}$$\end{document}. [REVIEW]Willem Conradie & Valentin Goranko - 2021 - In Ivo Düntsch & Edwin Mares (eds.), Alasdair Urquhart on Nonclassical and Algebraic Logic and Complexity of Proofs. Springer Verlag. pp. 163-211.
    We apply and extend the theory and methods of algorithmic correspondence theory for modal logics, developed over the past 20 years, to the language LR\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {L}_R$$\end{document} of relevance logics with respect to their standard Routley–Meyer relational semantics. We develop the non-deterministic algorithmic procedure PEARL\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathsf {PEARL}$$\end{document} for computing first-order equivalents of formulae of the language LR\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} (...)
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  29.  8
    Algorithmic correspondence and canonicity for non-distributive logics.Willem Conradie & Alessandra Palmigiano - 2019 - Annals of Pure and Applied Logic 170 (9):923-974.
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  30.  13
    Proof-finding Algorithms for Classical and Subclassical Propositional Logics.M. W. Bunder & R. M. Rizkalla - 2009 - Notre Dame Journal of Formal Logic 50 (3):261-273.
    The formulas-as-types isomorphism tells us that every proof and theorem, in the intuitionistic implicational logic $H_\rightarrow$, corresponds to a lambda term or combinator and its type. The algorithms of Bunder very efficiently find a lambda term inhabitant, if any, of any given type of $H_\rightarrow$ and of many of its subsystems. In most cases the search procedure has a simple bound based roughly on the length of the formula involved. Computer implementations of some of these procedures were done in (...)
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  31.  5
    DFC-algorithms for Suszko logic and one-to-one Gentzen type formalizations.Anita Wasilewska - 1984 - Studia Logica 43 (4):395 - 404.
    We use here the notions and results from algebraic theory of programs in order to give a new proof of the decidability theorem for Suszko logic SCI (Theorem 3).We generalize the method used in the proof of that theorem in order to prove a more general fact that any prepositional logic which admits a cut-free Gentzen type formalization is decidable (Theorem 6).
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  32.  8
    Many Concepts and Two Logics of Algorithmic Reduction.Giorgi Japaridze - 2009 - Studia Logica 91 (1):1-24.
    Within the program of finding axiomatizations for various parts of computability logic, it was proven earlier that the logic of interactive Turing reduction is exactly the implicative fragment of Heyting’s intuitionistic calculus. That sort of reduction permits unlimited reusage of the computational resource represented by the antecedent. An at least equally basic and natural sort of algorithmic reduction, however, is the one that does not allow such reusage. The present article shows that turning the logic of (...)
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  33. An algorithm for axiomatizing and theorem proving in finite many - valued propositional logics.W. A. Carnielli - 1985 - Logique Et Analyse 28 (12):363.
     
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  34. An algorithm for inferring multivalued dependencies that works also for a subclass of propositional logic.Yehoshua Sagiv - 1979 - Urbana: Dept. of Computer Science, University of Illinois at Urbana-Champaign.
  35.  5
    Algorithms and the Practical World.Paolo Totaro & Domenico Ninno - 2016 - Theory, Culture and Society 33 (1):139-152.
    This article is both a comment on Neyland’s ‘On organizing algorithms’ and a supplementary note to our ‘The concept of algorithm as an interpretative key of modern rationality’. In the first part we discuss the concepts of algorithm and recursive function from a different perspective from that of our previous article. Our cultural reference for these concepts is once again computability theory. We give additional arguments in support of the idea that a culture informed by an algorithmic logic (...)
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  36. An algorithm for finding finite axiomat. izations of finite intermediate logics, Polish Academy of Sciences, Institute of Philosophy and Sociology.A. Wronski - 1972 - Bulletin of the Section of Logic 2:38-44.
     
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  37.  2
    Algorithmic division in logic.George Bruce Halsted - 1879 - Journal of Speculative Philosophy 13 (1):107 - 112.
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  38.  1
    An algorithm for deriving tautologies of logic of classes and relations from those of sentential calculus.Michele Malatesta - 2000 - Metalogicon 13 (2):89-123.
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  39. An algorithm for axiomatizing and theorem proving in finite many-valued propositional logics* Walter A. Carnielli.Proving in Finite Many-Valued Propositional - forthcoming - Logique Et Analyse.
     
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  40. Algorithmic Correspondence Theory for Substructural Categorial Logic.Marcelo Finger - 1998 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev (eds.), Advances in Modal Logic. CSLI Publications. pp. 153-172.
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  41.  2
    An algorithm for finding finite axiomatizations of finite intermediate logics by means of jankov formulas.Eugeniusz Tomaszewski - 2002 - Bulletin of the Section of Logic 31 (1):1-6.
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  42.  31
    An Algorithmic Impossible-Worlds Model of Belief and Knowledge.Zeynep Soysal - 2024 - Review of Symbolic Logic 17 (2):586-610.
    In this paper, I develop an algorithmic impossible-worlds model of belief and knowledge that provides a middle ground between models that entail that everyone is logically omniscient and those that are compatible with even the most egregious kinds of logical incompetence. In outline, the model entails that an agent believes (knows) φ just in case she can easily (and correctly) compute that φ is true and thus has the capacity to make her actions depend on whether φ. The model (...)
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  43.  1
    A first order logic for specification of timed algorithms: basic properties and a decidable class.Danièle Beauquier & Anatol Slissenko - 2001 - Annals of Pure and Applied Logic 113 (1-3):13-52.
    We consider one aspect of the problem of specification and verification of reactive real-time systems which involve operations and constraints concerning time. Time is continuous what is motivated by specifications of hybrid systems. Our goal is to try to find a framework that is based on applied first order logic that permits to represent the verification problem directly, completely and conservatively , and that is apt to describe interesting decidable classes, maybe showing way to feasible algorithms. To achieve this (...)
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  44. Some combinatorial and algorithmic problems in many-valued logics.Ivan Stojmenović - 1987 - Novi Sad: University of Novi Sad, Faculty of Science, Institute of Mathematics.
  45.  10
    Logic and discrete mathematics: a concise introduction.Willem Conradie - 2015 - Hoboken, NJ, USA: Wiley. Edited by Valentin Goranko.
    A concise yet rigorous introduction to logic and discrete mathematics. This book features a unique combination of comprehensive coverage of logic with a solid exposition of the most important fields of discrete mathematics, presenting material that has been tested and refined by the authors in university courses taught over more than a decade. The chapters on logic - propositional and first-order - provide a robust toolkit for logical reasoning, emphasizing the conceptual understanding of the language and the (...)
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  46.  33
    Can an Algorithm be Agonistic? Ten Scenes from Life in Calculated Publics.Kate Crawford - 2016 - Science, Technology, and Human Values 41 (1):77-92.
    This paper explores how political theory may help us map algorithmic logics against different visions of the political. Drawing on Chantal Mouffe’s theories of agonistic pluralism, this paper depicts algorithms in public life in ten distinct scenes, in order to ask the question, what kinds of politics do they instantiate? Algorithms are working within highly contested online spaces of public discourse, such as YouTube and Facebook, where incompatible perspectives coexist. Yet algorithms are designed to produce clear “winners” from information (...)
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  47.  13
    Algorithmic Theories of Problems. A Constructive and a Non-Constructive Approach.Ivo Pezlar - 2017 - Logic and Logical Philosophy 26 (4):473-508.
    In this paper we examine two approaches to the formal treatment of the notion of problem in the paradigm of algorithmic semantics. Namely, we will explore an approach based on Martin-Löf’s Constructive Type Theory, which can be seen as a direct continuation of Kolmogorov’s original calculus of problems, and an approach utilizing Tichý’s Transparent Intensional Logic, which can be viewed as a non-constructive attempt of interpreting Kolmogorov’s logic of problems. In the last section we propose Kolmogorov and (...)
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  48.  3
    Cumulative default logic: Finite characterization, algorithms, and complexity.Georg Gottlob & Mingyi Zhang - 1994 - Artificial Intelligence 69 (1-2):329-345.
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  49.  14
    An abstraction algorithm for combinatory logic.S. Kamal Abdali - 1976 - Journal of Symbolic Logic 41 (1):222-224.
  50. Algorithmic bias: on the implicit biases of social technology.Gabbrielle M. Johnson - 2020 - Synthese 198 (10):9941-9961.
    Often machine learning programs inherit social patterns reflected in their training data without any directed effort by programmers to include such biases. Computer scientists call this algorithmic bias. This paper explores the relationship between machine bias and human cognitive bias. In it, I argue similarities between algorithmic and cognitive biases indicate a disconcerting sense in which sources of bias emerge out of seemingly innocuous patterns of information processing. The emergent nature of this bias obscures the existence of the (...)
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