Results for 'Alan Turing'

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  1. Lumikki ja Myrkkyomena - Alan Turing 1912-1954.Panu Raatikainen - 2004 - In Timo Kaitaro & Markku Roinila (eds.), Filosofin kuolema. Summa.
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  2. The Turing Guide.Jack Copeland, Jonathan Bowen, Robin Wilson & Mark Sprevak (eds.) - 2017 - Oxford: Oxford University Press.
    This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some (...)
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  3. Turing on the Integration of Human and Machine Intelligence.S. G. Sterrett - 2014
    Abstract Philosophical discussion of Alan Turing’s writings on intelligence has mostly revolved around a single point made in a paper published in the journal Mind in 1950. This is unfortunate, for Turing’s reflections on machine (artificial) intelligence, human intelligence, and the relation between them were more extensive and sophisticated. They are seen to be extremely well-considered and sound in retrospect. Recently, IBM developed a question-answering computer (Watson) that could compete against humans on the game show Jeopardy! There (...)
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  4. Could a Machine Think? Alan M. Turing Vs. John R. Searle.Günther Mario - unknown
    “Could a machine think?” asks John R. Searle in his paper Minds, Brains, and Programs. He answers that “only a machine could think1, and only very special kinds of machines, namely brains.”2 The subject of this paper is the analysis of the aforementioned question through presentation of the symbol manipulation approach to intelligence and Searle's well-known criticism to this approach, namely the Chinese room argument. The examination of these issues leads to the systems reply of the Chinese room argument and (...)
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  5.  57
    Turing and Computationalism.Napoleon M. Mabaquiao - 2014 - Philosophia: International Journal of Philosophy (Philippine e-journal) 15 (1):50-62.
    Due to his significant role in the development of computer technology and the discipline of artificial intelligence, Alan Turing has supposedly subscribed to the theory of mind that has been greatly inspired by the power of the said technology which has eventually become the dominant framework for current researches in artificial intelligence and cognitive science, namely, computationalism or the computational theory of mind. In this essay, I challenge this supposition. In particular, I will try to show that there (...)
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  6. Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World.Vincent C. Müller & Aladdin Ayesh (eds.) - 2012 - AISB.
    Proceedings of the papers presented at the Symposium on "Revisiting Turing and his Test: Comprehensiveness, Qualia, and the Real World" at the 2012 AISB and IACAP Symposium that was held in the Turing year 2012, 2–6 July at the University of Birmingham, UK. Ten papers. - http://www.pt-ai.org/turing-test --- Daniel Devatman Hromada: From Taxonomy of Turing Test-Consistent Scenarios Towards Attribution of Legal Status to Meta-modular Artificial Autonomous Agents - Michael Zillich: My Robot is Smarter than Your Robot: (...)
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  7. A Turing Machine for Exponential Function.P. M. F. Lemos - manuscript
    This is a Turing Machine which computes the exponential function f(x,y) = xˆy. Instructions format and operation of this machine are intended to best reflect the basic conditions outlined by Alan Turing in his On Computable Numbers, with an Application to the Entscheidungsproblem (1936), using the simplest single-tape and single-symbol version, in essence due to Kleene (1952) and Carnielli & Epstein (2008). This machine is composed by four basic task machines: one which checks if exponent y is (...)
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  8.  92
    The Turing Machine on the Dissecting Table.Jana Horáková - 2013 - Teorie Vědy / Theory of Science 35 (2):269-288.
    Since the beginning of the twenty-first century there has been an increasing awareness that software rep- resents a blind spot in new media theory. The growing interest in software also influences the argument in this paper, which sets out from the assumption that Alan M. Turing's concept of the universal machine, the first theoretical description of a computer program, is a kind of bachelor machine. Previous writings based on a similar hypothesis have focused either on a comparison of (...)
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  9. Laws of Form and the Force of Function: Variations on the Turing Test.Hajo Greif - 2012 - In Vincent C. Müller & Aladdin Ayesh (eds.), Revisiting Turing and His Test: Comprehensiveness, Qualia, and the Real World. AISB. pp. 60-64.
    This paper commences from the critical observation that the Turing Test (TT) might not be best read as providing a definition or a genuine test of intelligence by proxy of a simulation of conversational behaviour. Firstly, the idea of a machine producing likenesses of this kind served a different purpose in Turing, namely providing a demonstrative simulation to elucidate the force and scope of his computational method, whose primary theoretical import lies within the realm of mathematics rather than (...)
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  10.  23
    Computing Machinery and Sexual Difference: The Sexed Presuppositions Underlying the Turing Test.Amy Kind - forthcoming - In Jennifer McWeeny & Keya Maitra (eds.), Feminist Philosophy of Mind.
    In his 1950 paper “Computing Machinery and Intelligence,” Alan Turing proposed that we can determine whether a machine thinks by considering whether it can win at a simple imitation game. A neutral questioner communicates with two different systems – one a machine and a human being – without knowing which is which. If after some reasonable amount of time the machine is able to fool the questioner into identifying it as the human, the machine wins the game, and (...)
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  11.  79
    Contradictions and Falling Bridges: What Was Wittgenstein’s Reply to Turing?Ásgeir Berg Matthíasson - 2020 - British Journal for the History of Philosophy (3).
    In this paper, I offer a close reading of Wittgenstein's remarks on inconsistency, mostly as they appear in the Lectures on the Foundations of Mathematics. I focus especially on an objection to Wit...
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  12.  31
    असंभव, अपूर्णता, अपूर्णता, झूठा विरोधाभास, सिद्धांतवाद, गणना की सीमा, एक गैर-क्वांटम यांत्रिक अनिश्चितता सिद्धांत और कंप्यूटर के रूप में ब्रह्मांड पर Wolpert, Chaitin और Wittgenstein ट्यूरिंग मशीन थ्योरी में अंतिम प्रमेय --Wolpert, Chaitin and Wittgenstein on impossibility, incompleteness, the liar paradox, theism, the limits of computation, a non-quantum mechanical uncertainty principle and the universe as computer—the ultimate theorem in Turing Machine Theory (संशोधित 2019).Michael Richard Starks - 2020 - In पृथ्वी पर नर्क में आपका स्वागत है: शिशुओं, जलवायु परिवर्तन, बिटकॉइन, कार्टेल, चीन, लोकतंत्र, विविधता, समानता, हैकर्स, मानव अधिकार, इस्लाम, उदारवाद, समृद्धि, वेब, अराजकता, भुखमरी, बीमारी, हिंसा, कृत्रिम बुद्धिमत्ता, युद्ध. Las Vegas, NV, USA: Reality Press. pp. 215-220.
    मैं कंप्यूटर के रूप में गणना और ब्रह्मांड की सीमा के कई हाल ही में चर्चा पढ़ लिया है, polymath भौतिक विज्ञानी और निर्णय सिद्धांतकार डेविड Wolpert के अद्भुत काम पर कुछ टिप्पणी खोजने की उम्मीद है, लेकिन एक भी प्रशस्ति पत्र नहीं मिला है और इसलिए मैं यह बहुत संक्षिप्त मौजूद सारांश. Wolpert कुछ आश्चर्यजनक असंभव या अधूरापन प्रमेयों साबित कर दिया (1992 से 2008-देखें arxiv dot org) अनुमान के लिए सीमा पर (कम्प्यूटेशन) कि इतने सामान्य वे गणना कर (...)
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  13. ‘The Action of the Brain’. Machine Models and Adaptive Functions in Turing and Ashby.Hajo Greif - 2018 - In Vincent Müller (ed.), Philosophy and theory of artificial intelligence 2017. Berlin, Germany: Springer. pp. 24-35.
    Given the personal acquaintance between Alan M. Turing and W. Ross Ashby and the partial proximity of their research fields, a comparative view of Turing’s and Ashby’s work on modelling “the action of the brain” (letter from Turing to Ashby, 1946) will help to shed light on the seemingly strict symbolic/embodied dichotomy: While it is clear that Turing was committed to formal, computational and Ashby to material, analogue methods of modelling, there is no straightforward mapping (...)
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  14.  62
    Informatics: Science or Téchne?Tito Palmeiro - 2016 - O Que Nos Faz Pensar 25:88-97.
    Informatics is generally understood as a “new technology” and is therewith discussed according to technological aspects such as speed, data retrieval, information control and so on. Its widespread use from home appliances to enterprises and universities is not the result of a clear-cut analysis of its inner possibilities but is rather dependent on all sorts of ideological promises of unlimited progress. We will discuss the theoretical definition of informatics proposed in 1936 by Alan Turing in order to show (...)
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  15. How Does Artificial Intelligence Pose an Existential Risk?Karina Vold & Daniel R. Harris - forthcoming - In Carissa Véliz (ed.), Oxford Handbook of Digital Ethics.
    Alan Turing, one of the fathers of computing, warned that Artificial Intelligence (AI) could one day pose an existential risk to humanity. Today, recent advancements in the field AI have been accompanied by a renewed set of existential warnings. But what exactly constitutes an existential risk? And how exactly does AI pose such a threat? In this chapter we aim to answer these questions. In particular, we will critically explore three commonly cited reasons for thinking that AI poses (...)
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  16. MICHAEL POLANYI: CAN THE MIND BE REPRESENTED BY A MACHINE?Paul Richard Blum - 2010 - Polanyiana 19 (1-2):35-60.
    In 1949, the Department of Philosophy at the University of Manchester organized a symposium “Mind and Machine” with Michael Polanyi, the mathematicians Alan Turing and Max Newman, the neurologists Geoff rey Jeff erson and J. Z. Young, and others as participants. Th is event is known among Turing scholars, because it laid the seed for Turing’s famous paper on “Computing Machinery and Intelligence”, but it is scarcely documented. Here, the transcript of this event, together with Polanyi’s (...)
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  17. The Imitation Game.John Mark Bishop - 2010 - Kybernetes 39 (3):398-402.
    This issue of the Kybernetes journal is concerned with the philosophical question- Can a Machine Think? Famously, in his 1950 paper `Computing Machinery andIntelligence' [9], the British mathematician Alan Turing suggested replacing this question - which he found \too meaningless to deserve discussion" - with a simple -behavioural - test based on an imagined `Victorianesque' pastime he entitled the`imitation game'. In this special issue of Kybernetes a selection of authors with a special interest in Turing's work (including (...)
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  18.  33
    Dispositifs informatiques et dysfonctionnements.Tito Palmeiro - 2013 - Revue Réel-Virtuel : Enjeux du Numérique 4:1-9.
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  19. A Modal Defence of Strong AI.Steffen Borge - 2007 - In Dermot Moran Stephen Voss (ed.), The Proceedings of the Twenty-First World Congress of Philosophy. The Philosophical Society of Turkey. pp. 127-131.
    John Searle has argued that the aim of strong AI of creating a thinking computer is misguided. Searle’s Chinese Room Argument purports to show that syntax does not suffice for semantics and that computer programs as such must fail to have intrinsic intentionality. But we are not mainly interested in the program itself but rather the implementation of the program in some material. It does not follow by necessity from the fact that computer programs are defined syntactically that the implementation (...)
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  20. Was Roboter nicht können. Die Roboterantwort als knapp misslungene Verteidigung der starken KI-These.Geert Keil - 1998 - In Andreas Engel & Peter Gold (eds.), Der Mensch in der Perspektive der Kognitionswissenschaften. Suhrkamp. pp. 98-131.
    Theoretiker der Künstlichen Intelligenz und deren Wegbegleiter in der Philosophie des Geistes haben auf unterschiedliche Weise auf Kritik am ursprünglichen Theorieziel der KI reagiert. Eine dieser Reaktionen ist die Zurücknahme dieses Theorieziels zugunsten der Verfolgung kleinerformatiger Projekte. Eine andere Reaktion ist die Propagierung konnektionistischer Systeme, die mit ihrer dezentralen Arbeitsweise die neuronalen Netze des menschlichen Gehirns besser simulieren sollen. Eine weitere ist die sogenannte robot reply. Die Roboterantwort besteht aus zwei Elementen. Sie enthält (a) das Zugeständnis, daß das Systemverhalten eines (...)
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  21. Review of 'The Outer Limits of Reason' by Noson Yanofsky 403p(2013).Michael Starks - 2017 - Philosophy, Human Nature and the Collapse of Civilization -- Articles and Reviews 2006-2017 3rd Ed 686p(2017).
    I give a detailed review of 'The Outer Limits of Reason' by Noson Yanofsky 403(2013) from a unified perspective of Wittgenstein and evolutionary psychology. I indicate that the difficulty with such issues as paradox in language and math, incompleteness, undecidability, computability, the brain and the universe as computers etc., all arise from the failure to look carefully at our use of language in the appropriate context and hence the failure to separate issues of scientific fact from issues of how language (...)
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  22.  53
    O Humově naturalismu, skepticismu a ateismu.Filip Tvrdý & Peter Millican - 2017 - Filosoficky Casopis 2 (65):163-174.
    Peter Millican je profesor filosofie a Gilbert Ryle Fellow na Hertford College, University of Oxford. Věnuje se především epistemologii, filosofii jazyka a náboženství, zabývá se dílem Davida Huma a Alana Turinga. Je autorem více než padesáti časopisecky publikovaných studií, editoval sborníky The Legacy of Alan Turing (Oxford University Press, 1996) a Reading Hume on Human Understanding (Oxford University Press, 2002). Připravil kritické vydání Humova An Enquiry Concerning Human Understanding v edici Oxford World's Classics (Oxford University Press, 2008) a (...)
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  23.  31
    Electronic Persons?Louis Caruana - 2020 - Gregorianum 101 (3):593-614.
    To describe computers and sophisticated robots, many people today have no problem using personal attributes. Alan Turing published his famous intelligence test in 1950. From that time onwards, computers have gained increasingly higher status in this regard. Computers and robots nowadays are not only intelligent. They perceive, they remember, they understand, they decide, they play and so on. Recently, another such step has occurred but, this time, many researchers are seriously concerned. In February 2017, the European Parliament passed (...)
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  24.  25
    Thought, Sign and Machine - the Idea of the Computer Reconsidered.Niels Ole Finnemann (ed.) - 1999 - Copernhagen: Danish Original: Akademisk Forlag 1994. Tanke, Sprog og Maskine..
    Throughout what is now the more than 50-year history of the computer many theories have been advanced regarding the contribution this machine would make to changes both in the structure of society and in ways of thinking. Like other theories regarding the future, these should also be taken with a pinch of salt. The history of the development of computer technology contains many predictions which have failed to come true and many applications that have not been foreseen. While we must (...)
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  25.  79
    Turing’s Imitation Game: Still an Impossible Challenge for All Machines and Some Judges––an Evaluation of the 2008 Loebner Contest. [REVIEW]Luciano Floridi & Mariarosaria Taddeo - 2009 - Minds and Machines 19 (1):145-150.
    An evaluation of the 2008 Loebner contest.
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  26.  57
    Turing’s Imitation Game: Still an Impossible Challenge for All Machines and Some Judges.Luciano Floridi, Mariarosaria Taddeo & Matteo Turilli - 2009 - Minds and Machines 19 (1):145–150.
    An Evaluation of the 2008 Loebner Contest.
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  27. Most Counterfactuals Are False.Alan Hajek - 2014
    I argue that most counterfactuals are false.
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  28. Turing Test, Chinese Room Argument, Symbol Grounding Problem. Meanings in Artificial Agents (APA 2013).Christophe Menant - 2013 - American Philosophical Association Newsletter on Philosophy and Computers 13 (1):30-34.
    The Turing Test (TT), the Chinese Room Argument (CRA), and the Symbol Grounding Problem (SGP) are about the question “can machines think?” We propose to look at these approaches to Artificial Intelligence (AI) by showing that they all address the possibility for Artificial Agents (AAs) to generate meaningful information (meanings) as we humans do. The initial question about thinking machines is then reformulated into “can AAs generate meanings like humans do?” We correspondingly present the TT, the CRA and the (...)
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  29. Post-Turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence.Albert Efimov - 2020 - Lecture Notes in Computer Science 12177.
    This article offers comprehensive criticism of the Turing test and develops quality criteria for new artificial general intelligence (AGI) assessment tests. It is shown that the prerequisites A. Turing drew upon when reducing personality and human consciousness to “suitable branches of thought” re-flected the engineering level of his time. In fact, the Turing “imitation game” employed only symbolic communication and ignored the physical world. This paper suggests that by restricting thinking ability to symbolic systems alone Turing (...)
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  30. Is There a True Metaphysics of Material Objects?Alan Sidelle - 2002 - Noûs 36 (s1):118-145.
    I argue that metaphysical views of material objects should be understood as 'packages', rather than individual claims, where the other parts of the package include how the theory addresses 'recalcitant data', and that when the packages meet certain general desiderata - which all of the currently competing views *can* meet - there is nothing in the world that could make one of the theories true as opposed to any of the others.
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  31. A Tale of Two Epistemologies?Alan Hájek & Hanti Lin - 2017 - Res Philosophica 94 (2):207-232.
    So-called “traditional epistemology” and “Bayesian epistemology” share a word, but it may often seem that the enterprises hardly share a subject matter. They differ in their central concepts. They differ in their main concerns. They differ in their main theoretical moves. And they often differ in their methodology. However, in the last decade or so, there have been a number of attempts to build bridges between the two epistemologies. Indeed, many would say that there is just one branch of philosophy (...)
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  32. Bayesian Epistemology.Alan Hájek & Stephan Hartmann - 2010 - In DancyJ (ed.), A Companion to Epistemology. Blackwell.
    Bayesianism is our leading theory of uncertainty. Epistemology is defined as the theory of knowledge. So “Bayesian Epistemology” may sound like an oxymoron. Bayesianism, after all, studies the properties and dynamics of degrees of belief, understood to be probabilities. Traditional epistemology, on the other hand, places the singularly non-probabilistic notion of knowledge at centre stage, and to the extent that it traffics in belief, that notion does not come in degrees. So how can there be a Bayesian epistemology?
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  33.  22
    Turing Vs. Super-Turing: A Defence of the Church-Turing Thesis.Luciano Floridi - 1999 - In Philosophy and computing: an introduction. Oxford:
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  34. Meaning in Language: An Introduction to Semantics and Pragmatics.Alan Cruse - 2010 - Oxford University Press UK.
    A comprehensive introduction to the ways in which meaning is conveyed in language. Alan Cruse covers semantic matters, but also deals with topics that are usually considered to fall under pragmatics. A major aim is to highlight the richness and subtlety of meaning phenomena, rather than to expound any particular theory.
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  35.  66
    Turing's Three Philosophical Lessons and the Philosophy of Information.Luciano Floridi - 2012 - Philosophical Transactions of the Royal Society A 370 (1971):3536-3542.
    In this article, I outline the three main philosophical lessons that we may learn from Turing’s work, and how they lead to a new philosophy of information. After a brief introduction, I discuss his work on the method of levels of abstraction (LoA), and his insistence that questions could be meaningfully asked only by specifying the correct LoA. I then look at his second lesson, about the sort of philosophical questions that seem to be most pressing today. Finally, I (...)
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  36. Transgressors, Victims, and Cry Babies: Is Basic Moral Judgment Spared in Autism?Alan M. Leslie & Ron Mallon - 2006 - Social Neuroscience 1:270283.
    Human social intelligence comprises a wide range of complex cognitive and affective processes that appear to be selectively impaired in autistic spectrum disorders. The study of these neuro- developmental disorders and the study of canonical social intelligence have advanced rapidly over the last twenty years by investigating the two together. Specifically, studies of autism have provided important insights into the nature of ‘theory of mind’ abilities, their normal development and underlying neural systems. At the same time, the idea of impaired (...)
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  37. In Defense of Bacon.Alan Soble - 1995 - Philosophy of the Social Sciences 25 (2):192-215.
    Feminist science critics, in particular Sandra Harding, Carolyn Merchant, and Evelyn Fox Keller, claim that misogynous sexual metaphors played an important role in the rise of modern science. The writings of Francis Bacon have been singled out as an especially egregious instance of the use of misogynous metaphors in scientific philosophy. This paper offers a defense of Bacon.
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  38. Kant and Sexual Perversion.Alan Soble - 2003 - The Monist 86 (1):55-89.
    This article discusses the views of Immanuel Kant on sexual perversion (what he calls "carnal crimes against nature"), as found in his Vorlesung (Lectures on Ethics) and the Metaphysics of Morals (both the Rechtslehre and Tugendlehre). Kant criticizes sexual perversion by appealing to Natural Law and to his Formula of Humanity. Neither argument for the immorality of sexual perversion succeeds.
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  39. Principles for Allocation of Scarce Medical Interventions.Govind Persad, Alan Wertheimer & Ezekiel J. Emanuel - 2009 - The Lancet 373 (9661):423--431.
    Allocation of very scarce medical interventions such as organs and vaccines is a persistent ethical challenge. We evaluate eight simple allocation principles that can be classified into four categories: treating people equally, favouring the worst-off, maximising total benefits, and promoting and rewarding social usefulness. No single principle is sufficient to incorporate all morally relevant considerations and therefore individual principles must be combined into multiprinciple allocation systems. We evaluate three systems: the United Network for Organ Sharing points systems, quality-adjusted life-years, and (...)
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  40. On Turing Completeness, or Why We Are So Many.Ramón Casares - manuscript
    Why are we so many? Or, in other words, Why is our species so successful? The ultimate cause of our success as species is that we, Homo sapiens, are the first and the only Turing complete species. Turing completeness is the capacity of some hardware to compute by software whatever hardware can compute. -/- To reach the answer, I propose to see evolution and computing from the problem solving point of view. Then, solving more problems is evolutionarily better, (...)
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  41. Revisiting the Concept of a Profession.Alan Tapper & Stephan Millett - 2015 - Research in Ethical Issues in Organisations 13:1-18.
    In this article we revisit the concept of a profession. Definitions of the concept are readily encountered in the literature on professions and we have collected a sample of such definitions. From this sample we distil frequently occurring elements and ask whether a synthesis of these elements adequately explains the concept. We find that bringing the most frequently occurring elements together does not adequately address the reason that society differentiates professions from other occupations or activities -- why there is a (...)
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  42. El test de Turing: dos mitos, un dogma.Rodrigo González - 2007 - Revista de Filosofía 63:37-53.
    Este artículo analiza el Test de Turing, uno de los métodos más famosos y controvertidos para evaluar la existencia de vida mental en la Filosofía de la Mente, revelando dos mitos filosóficos comúnmente aceptados y criticando su dogma. En primer lugar, se muestra por qué Turing nunca propuso una definición de inteligencia. En segundo lugar, se refuta que el Test de Turing involucre condiciones necesarias o suficientes para la inteligencia. En tercer lugar, teniendo presente el objetivo y (...)
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  43. Philosophy in the Trenches: Reflections on The Eugenic Mind Project.Alan C. Love - 2018 - Philosophy, Theory, and Practice in Biology 10.
    Robert Wilson’s The Eugenic Mind Project is a major achievement of engaged scholarship and socially relevant philosophy and history of science. It exemplifies the virtues of interdisciplinarity. As principal investigator of the Living Archives on Eugenics in Western Canada project, while employed in the Department of Philosophy at the University of Alberta, Wilson encountered a proverbial big ball of mud with questions and issues that involved local individuals living through a painful set of memories and implicated his institutional home in (...)
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  44. COMPARING PART-WHOLE REDUCTIVE EXPLANATIONS IN BIOLOGY AND PHYSICS.Alan C. Love & Andreas Hüttemann - 2011 - In Dennis Dieks, Wenceslao Gonzalo, Thomas Uebel, Stephan Hartmann & Marcel Weber (eds.), Explanation, Prediction, and Confirmation. Springer. pp. 183--202.
    Many biologists and philosophers have worried that importing models of reasoning from the physical sciences obscures our understanding of reasoning in the life sciences. In this paper we discuss one example that partially validates this concern: part-whole reductive explanations. Biology and physics tend to incorporate different models of temporality in part-whole reductive explanations. This results from differential emphases on compositional and causal facets of reductive explanations, which have not been distinguished reliably in prior philosophical analyses. Keeping these two facets distinct (...)
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  45. A Radical Revolution in Thought: Frederick Douglass on the Slave’s Perspective on Republican Freedom.Alan M. S. J. Coffee - 2020 - In Bruno Leipold, Karma Nabulsi & Stuart White (eds.), Radical Republicanism: Recovering the Tradition's Popular Heritage. Oxford, UK: pp. 47-64.
    While the image of the slave as the antithesis of the freeman is central to republican freedom, it is striking to note that slaves themselves have not contributed to how this condition is understood. The result is a one-sided conception of both freedom and slavery, which leaves republicanism unable to provide an equal and robust protection for historically outcast people. I draw on the work of Frederick Douglass – long overlooked as a significant contributor to republican theory – to show (...)
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  46.  21
    A Minimal Turing Test: Reciprocal Sensorimotor Contingencies for Interaction Detection.Pamela Barone, Manuel G. Bedia & Antoni Gomila - 2020 - Frontiers in Human Neuroscience 14.
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  47. A Survey of Geometric Algebra and Geometric Calculus.Alan Macdonald - 2017 - Advances in Applied Clifford Algebras 27:853-891.
    The paper is an introduction to geometric algebra and geometric calculus for those with a knowledge of undergraduate mathematics. No knowledge of physics is required. The section Further Study lists many papers available on the web.
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  48. On the Metaphysical Contingency of Laws of Nature.Alan Sidelle - 2002 - In John Hawthorne & Tamar Szabó Gendler (eds.), Conceivability and Possibility. Oxford University Press. pp. 309--336.
    This paper defends the traditional view that the laws of nature are contingent, or, if some of them are necessary, this is due to analytic principles for the individuation of the law-governed properties. Fundamentally, I argue that the supposed explanatory purposes served by taking the laws to be necessary --showing how laws support counterfactuals, how properties are individuated, or how we have knowledge of properties--are in fact undermined by the continued possibility of the imagined scenarios--this time, described neutrally--which seemed to (...)
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  49.  51
    Is Professional Ethics Grounded in General Ethical Principles?Alan Tapper & Stephan Millett - 2014 - Theoretical and Applied Ethics 3 (1):61-80.
    This article questions the commonly held view that professional ethics is grounded in general ethical principles, in particular, respect for client (or patient) autonomy and beneficence in the treatment of clients (or patients). Although these are admirable as general ethical principles, we argue that there is considerable logical difficulty in applying them to the professional-client relationship. The transition from general principles to professional ethics cannot be made because the intended conclusion applies differently to each of the parties involved, whereas the (...)
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  50. Gender, Objectivity, And Realism.Alan Soble - 1994 - The Monist 77 (4):509-530.
    A detailed examination of the philosophy of science of Evelyn Fox Keller, with special emphasis on her account of "objectivity" and her understanding of the methodology of Barbara McClintock.
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