Results for ' Sequential machine theory'

975 found
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  1.  29
    Why there still has to be a theory of consciousness.Josefa Toribio - 1993 - Consciousness and Cognition 2 (1):28-47.
    "Consciousness", it is widely agreed, does not name any single cognitive phenomenon. But nor is the gathering of distinct phenomena under that single label an accident. What seems to unify the range of cognitive goods in this "variety store" is the central yet elusive notion of the availability of some content or feeling in subjective experience. The paper begins by building a rough taxonomy of the various ways different approaches have tried to give an account of this central target. Among (...)
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  2.  46
    Computation and automata.Arto Salomaa - 1985 - New York: Cambridge University Press.
    This introduction to certain mathematical topics central to theoretical computer science treats computability and recursive functions, formal languages and automata, computational complexity, and cruptography. The presentation is essentially self-contained with detailed proofs of all statements provided. Although it begins with the basics, it proceeds to some of the most important recent developments in theoretical computer science.
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  3. Logique, automatique, informatique.Grigore C. Moisil & Octavian C. Biscǎ (eds.) - 1971 - Bucarest,: Éditions de l'Académie de la République Socialiste de Roumanie.
     
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  4. Significance of Models of Computation, from Turing Model to Natural Computation.Gordana Dodig-Crnkovic - 2011 - Minds and Machines 21 (2):301-322.
    The increased interactivity and connectivity of computational devices along with the spreading of computational tools and computational thinking across the fields, has changed our understanding of the nature of computing. In the course of this development computing models have been extended from the initial abstract symbol manipulating mechanisms of stand-alone, discrete sequential machines, to the models of natural computing in the physical world, generally concurrent asynchronous processes capable of modelling living systems, their informational structures and dynamics on both symbolic (...)
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  5.  27
    Abstract machine theory and direct perception.Robert Shaw & James Todd - 1980 - Behavioral and Brain Sciences 3 (3):400-401.
  6.  29
    Democracy and Agonism in the Anthropocene: The Challenges of Knowledge, Time and Boundary.Amanda Machin - 2019 - Environmental Values 28 (3):347-365.
    The diagnosis of a new geological epoch, The 'Anthropocene', has implications far beyond geological science. If human activity has disrupted the planet, then this diagnosis potentially disrupts socio-political conventions. This article assesses the implications the Anthropocene has for democratic politics, by delineating three challenges: challenges of knowledge, time and boundary. In contrast to the claim that democratic institutions are unable to adequately respond to these challenges, I suggest that they might be strengthened through an engagement with them. Following an 'agonistic' (...)
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  7. Doing visual analysis: From theory to practice.Per Ledin & David Machin - 2018
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  8.  21
    From machine-theory to entelechy: Two studies in developmental teleology.Frederick B. Churchill - 1969 - Journal of the History of Biology 2 (1):165-185.
  9.  14
    Foreperiod and the sequential effect. Theory and data.Sander A. Los - 2010 - In Anna C. Nobre & Jennifer T. Coull (eds.), Attention and Time. Oxford University Press. pp. 289--302.
  10. The nonhuman condition: Radical democracy through new materialist lenses.Hans Asenbaum, Amanda Machin, Jean-Paul Gagnon, Diana Leong, Melissa Orlie & James Louis Smith - 2023 - Contemporary Political Theory (Online first):584-615.
    Radical democratic thinking is becoming intrigued by the material situatedness of its political agents and by the role of nonhuman participants in political interaction. At stake here is the displacement of narrow anthropocentrism that currently guides democratic theory and practice, and its repositioning into what we call ‘the nonhuman condition’. This Critical Exchange explores the nonhuman condition. It asks: What are the implications of decentering the human subject via a new materialist reading of radical democracy? Does this reading dilute (...)
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  11.  11
    Gene F. Rose. Output completeness in sequential machines. Proceedings of the American Mathematical Society, vol. 13 , pp. 611–614. [REVIEW]Robert McNaughton - 1966 - Journal of Symbolic Logic 31 (1):140-140.
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  12.  6
    Review: Gene F. Rose, Output Completeness in Sequential Machines. [REVIEW]Robert McNaughton - 1966 - Journal of Symbolic Logic 31 (1):140-140.
  13.  15
    Seymour Ginsburg. Some remarks on abstract machines. Transactions of the American Mathematical Society, vol. 96 , pp. 400–444. - Seymour Ginsburg and Gene F. Rose. A comparison of the work done by generalized sequential machines and Turing machines. Transactions of the American Mathematical Society, vol. 103 , pp. 394–402. [REVIEW]Lars Löfgren - 1972 - Journal of Symbolic Logic 37 (2):411.
  14.  31
    Social Psychology and the Comic-Book Superhero: A Darwinian Approach.James Carney, Robin Dunbar, Anna Machin & Tamás Dávid-Barrett - 2014 - Philosophy and Literature 38 (1):195-215.
    One of the more compelling features of Denis Dutton’s The Art Instinct is its theoretical parsimony. Utilizing what essentially amounts to one explanatory principle—that of Darwinian selection—Dutton advances a theory of aesthetics that is at once general enough to account for cross-cultural variations in artistic production and sufficiently nuanced to promote insights into individual artworks. In doing this, Dutton’s work could not offer a greater contrast to some of the more vocal trends in contemporary aesthetic theory, where ponderous (...)
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  15.  37
    Beyond Criticism of Ethics Review Boards: Strategies for Engaging Research Communities and Enhancing Ethical Review Processes.Andrew Hickey, Samantha Davis, Will Farmer, Julianna Dawidowicz, Clint Moloney, Andrea Lamont-Mills, Jess Carniel, Yosheen Pillay, David Akenson, Annette Brömdal, Richard Gehrmann, Dean Mills, Tracy Kolbe-Alexander, Tanya Machin, Suzanne Reich, Kim Southey, Lynda Crowley-Cyr, Taiji Watanabe, Josh Davenport, Rohit Hirani, Helena King, Roshini Perera, Lucy Williams, Kurt Timmins, Michael Thompson, Douglas Eacersall & Jacinta Maxwell - 2022 - Journal of Academic Ethics 20 (4):549-567.
    A growing body of literature critical of ethics review boards has drawn attention to the processes used to determine the ethical merit of research. Citing criticism on the bureaucratic nature of ethics review processes, this literature provides a useful provocation for (re)considering how the ethics review might be enacted. Much of this criticism focuses on how ethics review boards _deliberate,_ with particular attention given to the lack of transparency and opportunities for researcher recourse that characterise ethics review processes. Centered specifically (...)
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  16.  9
    Exploring the perceived benefits of ethics education for laboratory professionals.Khojasta Talash, Chloe Anthias & Laura L. Machin - 2022 - International Journal of Ethics Education 7 (1):201-212.
    Clinical laboratories face ethical challenges on a daily basis. The ethics training provided for clinical laboratory staff is variable, with some receiving no training. We aimed to explore the perceived benefits of ethics education for laboratory professionals. Ethics training was provided to approximately 60 laboratory professionals in a UK not-for-profit blood cancer organisation, with group discussions incorporated into the session. The session covered dominant ethical theories and principles, the defining moments in medical research ethics and the ethical aspects of laboratory (...)
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  17.  12
    David A. Huffman. Canonical forms for information-lossless finite-stale logical machines. Sequential machines, Selected papers, edited by Edward F. Moore, Addison-Wesley Publishing Company, Inc., Reading, Massachusetts, Palo Alto, and London, 1964, pp. 132–156. , pp. 41–59.). [REVIEW]Andrzej J. Blikle - 1967 - Journal of Symbolic Logic 32 (3):389.
  18.  25
    Irving M. Copi, Calvin C. Elgot, and Jesse B. Wright. Realization of events by logical nets. Sequential machines, Selected papers, edited by Edward F. Moore, Addison-Wesley Publishing Company, Inc., Reading, Massachusetts, Palo Alto, and London, 1964, pp. 175–192. , pp. 181–196.). [REVIEW]Andrzej J. Blikle - 1967 - Journal of Symbolic Logic 32 (3):389-390.
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  19.  15
    R. McNaughton and H. Yamada. Regular expressions and state graphs for automata. Sequential machines, Selected papers, edited by Edward F. Moore, Addison-Wesley Publishing Company, Inc., Reading, Massachusetts, Palo Alto, and London, 1964, pp. 157–174. , pp. 39–47.). [REVIEW]Andrzej J. Blikle - 1967 - Journal of Symbolic Logic 32 (3):390-391.
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  20. Edward F. Moore. Gedanken-experiments on sequential machines. Automata studies, edited by C. E. Shannon and J. McCarthy, Annals of Mathematics studies no. 34, litho-printed, Princeton University Press, Princeton1956, pp. 129–153. [REVIEW]Alonzo Church - 1958 - Journal of Symbolic Logic 23 (1):60-60.
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  21. Deep Time Contagion.Andy Weir - 2012 - Continent 2 (3):167-169.
    Introduction Jamie Allen Time, of all the dimensions readily presented to experience, seems to do so most readily through things. Stuff, in supposed counter-valence to the negentropic resilience of living things, appears to us as that which degrades through time, and demarcates a more technical chronometry of sequential events. Situated outside the rotting of fruit and the ticking of clocks, a “deep time” persists. Like the ultra-hearing of the bat, and the infra-vision of the boa-constrictor, there exist living and (...)
     
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  22. Review: Edward F. Moore, Gedanken-Experiments on Sequential Machines. [REVIEW]Alonzo Church - 1958 - Journal of Symbolic Logic 23 (1):60-60.
  23. The Official Catalog of Potential Literature Selections.Ben Segal - 2011 - Continent 1 (2):136-140.
    continent. 1.2 (2011): 136-140. In early 2011, Cow Heavy Books published The Official Catalog of the Library of Potential Literature , a compendium of catalog 'blurbs' for non-existent desired or ideal texts. Along with Erinrose Mager, I edited the project, in a process that was more like curation as it mainly entailed asking a range of contemporary writers, theorists, and text-makers to send us an entry. What resulted was a creative/critical hybrid anthology, a small book in which each page opens (...)
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  24. Theory choice, non-epistemic values, and machine learning.Ravit Dotan - 2020 - Synthese (11):1-21.
    I use a theorem from machine learning, called the “No Free Lunch” theorem to support the claim that non-epistemic values are essential to theory choice. I argue that NFL entails that predictive accuracy is insufficient to favor a given theory over others, and that NFL challenges our ability to give a purely epistemic justification for using other traditional epistemic virtues in theory choice. In addition, I argue that the natural way to overcome NFL’s challenge is to (...)
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  25.  47
    The Sequential Dominance Argument for the Independence Axiom of Expected Utility Theory.Johan E. Gustafsson - 2020 - Philosophy and Phenomenological Research 103 (1):21-39.
    Independence is the condition that, if X is preferred to Y, then a lottery between X and Z is preferred to a lottery between Y and Z given the same probability of Z. Is it rationally required that one’s preferences conform to Independence? The main objection to this requirement is that it would rule out the alleged rationality of Allais and Ellsberg Preferences. In this paper, I put forward a sequential dominance argument with fairly weak assumptions for a variant (...)
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  26.  21
    A theory of criterion setting with an application to sequential dependencies.Michel Treisman & Thomas C. Williams - 1984 - Psychological Review 91 (1):68-111.
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  27. Measurement Theory, Nomological Machine And Measurement Uncertainties (In Classical Physics).Ave Mets - 2012 - Studia Philosophica Estonica 5 (2):167-186.
    Measurement is said to be the basis of exact sciences as the process of assigning numbers to matter (things or their attributes), thus making it possible to apply the mathematically formulated laws of nature to the empirical world. Mathematics and empiria are best accorded to each other in laboratory experiments which function as what Nancy Cartwright calls nomological machine: an arrangement generating (mathematical) regularities. On the basis of accounts of measurement errors and uncertainties, I will argue for two claims: (...)
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  28.  11
    Dismantling the Memory Machine: A Philosophical Investigation of Machine Theories of Memory.Ian G. Wallace - 1980 - Philosophical Quarterly 30 (119):176-178.
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  29.  21
    Ordinal machines and admissible recursion theory.Peter Koepke & Benjamin Seyfferth - 2009 - Annals of Pure and Applied Logic 160 (3):310-318.
    We generalize standard Turing machines, which work in time ω on a tape of length ω, to α-machines with time α and tape length α, for α some limit ordinal. We show that this provides a simple machine model adequate for classical admissible recursion theory as developed by G. Sacks and his school. For α an admissible ordinal, the basic notions of α-recursive or α-recursively enumerable are equivalent to being computable or computably enumerable by an α-machine, respectively. (...)
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  30. Humanities’ metaphysical underpinnings of late frontier scientific research.Alcibiades Malapi-Nelson - 2014 - Humanities 214 (3):740-765.
    The behavior/structure methodological dichotomy as locus of scientific inquiry is closely related to the issue of modeling and theory change in scientific explanation. Given that the traditional tension between structure and behavior in scientific modeling is likely here to stay, considering the relevant precedents in the history of ideas could help us better understand this theoretical struggle. This better understanding might open up unforeseen possibilities and new instantiations, particularly in what concerns the proposed technological modification of the human condition. (...)
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  31.  32
    Sequential theories and infinite distributivity in the lattice of chapters.Alan S. Stern - 1989 - Journal of Symbolic Logic 54 (1):190-206.
    We introduce a notion of complexity for interpretations, which is used to prove some new results about interpretations of sequential theories. In particular, we give a new, elementary proof of Pudlák's theorem that sequential theories are connected. We also demonstrate a counterexample to the infinitary distributive law $a \vee \bigwedge_{i \in I} b_i = \bigwedge_{i \in I} (a \vee b_i)$ in the lattice of chapters, in which the chapters a and b i are compact. (Counterexamples in which a (...)
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  32. The infrasonics and electronics of bionics.Varanasi Ramabrahmam - 2009 - In Proceedings of Presentations at International Conference on Photonics, Nano-Technology and Computer Applications (ICOPNAC- 2009), 25-28 February 2009 Held at Center for Research and Development, PRIST UNIVERSITY,. pp. 20-39.
    The concepts developed using Upanishadic insight regarding human consciousness, mind and mental processes and their applications in information acquisition and transmission by, through and in human body will be used to model human cognitive processes. A sequential reversible process by the stepwise transformation of (i) infrasonic form of energy and transformation of information already stored in (ii) biochemical form within as memory, and retrieved as inner mental world into (iii) electrochemical and then into (iv) mechanical form while communicating and (...)
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  33. Machine learning theory and practice as a source of insight into universal grammar.Stuartm Shieber - unknown
    In this paper, we explore the possibility that machine learning approaches to naturallanguage processing being developed in engineering-oriented computational linguistics may be able to provide specific scientific insights into the nature of human language. We argue that, in principle, machine learning results could inform basic debates about language, in one area at least, and that in practice, existing results may offer initial tentative support for this prospect. Further, results from computational learning theory can inform arguments carried on (...)
     
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  34.  45
    A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.Hongjing Lu, Randall R. Rojas, Tom Beckers & Alan L. Yuille - 2016 - Cognitive Science 40 (2):404-439.
    Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting (...)
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  35. BURSON, H. A., "Dismantling the Memory Machine: A Philosophical Investigation of Machine Theories of Memory". [REVIEW]C. Mortensen - 1981 - Australasian Journal of Philosophy 59:130.
     
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  36.  12
    Dismantling the Memory Machine: A Philosophical Investigation of Machine Theories of Memory. [REVIEW]John Heil - 1981 - Philosophical Books 22 (1):52-54.
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  37.  19
    Dismantling the Memory Machine. A philosophical investigation of Machine Theories of Memory. [REVIEW]Peter Preuss - 1980 - Dialogue 19 (2):339-342.
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  38. Machine models for cognitive science.Raymond J. Nelson - 1987 - Philosophy of Science 54 (September):391-408.
    Introduction. During the past two decades philosophers of psychology have considered a large variety of computational models for philosophy of mind and more recently for cognitive science. Among the suggested models are computer programs, Turing machines, pushdown automata, linear bounded automata, finite state automata and sequential machines. Many philosophers have found finite state automata models to be the most appealing, for various reasons, although there has been no shortage of defenders of programs and Turing machines. A paper by Arthur (...)
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  39.  46
    Model theory and machine learning.Hunter Chase & James Freitag - 2019 - Bulletin of Symbolic Logic 25 (3):319-332.
    About 25 years ago, it came to light that a single combinatorial property determines both an important dividing line in model theory and machine learning. The following years saw a fruitful exchange of ideas between PAC-learning and the model theory of NIP structures. In this article, we point out a new and similar connection between model theory and machine learning, this time developing a correspondence between stability and learnability in various settings of online learning. In (...)
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  40. Machine learning theory and practice as a source of insight into universal grammar.Shalom Lappin - unknown
    In this paper, we explore the possibility that machine learning approaches to naturallanguage processing being developed in engineering-oriented computational linguistics may be able to provide specific scientific insights into the nature of human language. We argue that, in principle, machine learning results could inform basic debates about language, in one area at least, and that in practice, existing results may offer initial tentative support for this prospect. Further, results from computational learning theory can inform arguments carried on (...)
     
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  41. The experience machine and mental state theories of well-being.Jason Kawall - 1999 - Journal of Value Inquiry 33 (3):381-387.
    It is argued that Nozick's experience machine thought experiment does not pose a particular difficulty for mental state theories of well-being. While the example shows that we value many things beyond our mental states, this simply reflects the fact that we value more than our own well-being. Nor is a mental state theorist forced to make the dubious claim that we maintain these other values simply as a means to desirable mental states. Valuing more than our mental states is (...)
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  42. Artificial virtuous agents: from theory to machine implementation.Jakob Stenseke - 2021 - AI and Society:1-20.
    Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve (...)
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  43.  35
    Pitfalls for realistic decision theory: an illustration from sequential choice.José Luis Bermúdez - 2010 - Synthese 176 (1):23-40.
    Decision theory is a theory of rationality, but the concept of rationality has several different dimensions. Making decision theory more realistic with respect to one dimension may well have the result of making it less realistic in another dimension. This paper illustrates this tension in the context of sequential choice. Trying to make decision theory more realistic by accommodating resoluteness and commitment brings the normative assessment dimension of rationality into conflict with the action-guiding dimension. In (...)
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  44.  18
    Dismantling the Memory Machine: A Philosophical Investigation of Machine Theories of Memory. [REVIEW]Peter Danielson - 1982 - Philosophy of the Social Sciences 12 (1):104-105.
  45.  26
    Dismantling the Memory Machine: A Philosophical Investigation of Machine Theories of Memory. By Howard A. Bursen. [REVIEW]George Graham - 1980 - Modern Schoolman 57 (3):269-270.
  46.  47
    On the quantum theory of sequential measurements.Paul Busch, Gianni Cassinelli & Pekka J. Lahti - 1990 - Foundations of Physics 20 (7):757-775.
    The quantum theory of sequential measurements is worked out and is employed to provide an operational analysis of basic measurement theoretical notions such as coexistence, correlations, repeatability, and ideality. The problem of the operational definition of continuous observables is briefly revisited, with a special emphasis on the localization observable. Finally, a brief overview is given of possible applications of the theory to various fields and problems in quantum physics.
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  47.  97
    Machine learning and social theory: Collective machine behaviour in algorithmic trading.Christian Borch - 2022 - European Journal of Social Theory 25 (4):503-520.
    This article examines what the rise in machine learning systems might mean for social theory. Focusing on financial markets, in which algorithmic securities trading founded on ML-based decision-making is gaining traction, I discuss the extent to which established sociological notions remain relevant or demand a reconsideration when applied to an ML context. I argue that ML systems have some capacity for agency and for engaging in forms of collective machine behaviour, in which ML systems interact with other (...)
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  48.  87
    The basic theory of infinite time register machines.Merlin Carl, Tim Fischbach, Peter Koepke, Russell Miller, Miriam Nasfi & Gregor Weckbecker - 2010 - Archive for Mathematical Logic 49 (2):249-273.
    Infinite time register machines (ITRMs) are register machines which act on natural numbers and which are allowed to run for arbitrarily many ordinal steps. Successor steps are determined by standard register machine commands. At limit times register contents are defined by appropriate limit operations. In this paper, we examine the ITRMs introduced by the third and fourth author (Koepke and Miller in Logic and Theory of Algorithms LNCS, pp. 306–315, 2008), where a register content at a limit time (...)
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  49.  21
    A machine-assisted proof of gödel’s incompleteness theorems for the theory of hereditarily finite sets.Lawrence C. Paulson - 2014 - Review of Symbolic Logic 7 (3):484-498.
  50.  27
    Beliefs, machines, and theories.John McCarthy - 1980 - Behavioral and Brain Sciences 3 (3):435-435.
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