Results for 'Susan Stuart'

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  1. Enkinaesthesia: the fundamental challenge for machine consciousness.Susan A. J. Stuart - 2011 - International Journal of Machine Consciousness 3 (1):145-162.
    In this short paper I will introduce an idea which, I will argue, presents a fundamental additional challenge to the machine consciousness community. The idea takes the questions surrounding phenomenology, qualia and phenomenality one step further into the realm of intersubjectivity but with a twist, and the twist is this: that an agent’s intersubjective experience is deeply felt and necessarily co-affective; it is enkinaesthetic, and only through enkinaesthetic awareness can we establish the affective enfolding which enables first the perturbation, and (...)
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  2. From agency to apperception: through kinaesthesia to cognition and creation.Susan A. J. Stuart - 2008 - Ethics and Information Technology 10 (4):255-264.
    My aim in this paper is to go some way towards showing that the maintenance of hard and fast dichotomies, like those between mind and body, and the real and the virtual, is untenable, and that technological advance cannot occur with being cognisant of its reciprocal ethical implications. In their place I will present a softer enactivist ontology through which I examine the nature of our engagement with technology in general and with virtual realities in particular. This softer ontology is (...)
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  3. The Role of Deception in Complex Social Interaction.Susan A. J. Stuart - 1998 - Cogito 12 (1):25-32.
    Social participation requires certain abilities: communication with other members of society; social understanding which enables planning ahead and dealing with novel circumstances; and a theory of mind which makes it possible to anticipate the mental state of another. In childhood play we learn how to pretend, how to put ourselves in the minds of others, how to imagine what others are thinking and how to attribute false beliefs to them. Without this ability we would be unable to deceive and detect (...)
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  4. Assessing Artificial Consciousness.Igor Aleksander, Susan Stuart, Tom Ziemke, Ron Chrisley & Uziel Awret - 2008 - Journal of Consciousness Studies 15 (7):95-110.
    While the recent special issue of JCS on machine consciousness (Volume 14, Issue 7) was in preparation, a collection of papers on the same topic, entitled Artificial Consciousness and edited by Antonio Chella and Riccardo Manzotti, was published. 1 The editors of the JCS special issue, Ron Chrisley, Robert Clowes and Steve Torrance, thought it would be a timely and productive move to have authors of papers in their collection review the papers in the Chella and Manzotti book, and include (...)
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  5. David Skrbina (ed.): Mind that Abides: Panpsychism in the New Millennium. [REVIEW]Susan Stuart - 2012 - Minds and Machines 22 (3):271-275.
    David Skrbina opens this timely and intriguing text with a suitably puzzling line from the Diamond Sutra: ‘‘Mind that abides nowhere must come forth.’’, and he urges us to ‘‘de-emphasise the quest for the specifically human embodiment of mind’’ and follow Empedocles, progressing ‘‘with good will and unclouded attention’’ into the text which he has drawn together as editor. If we do, we are assured that it will ‘‘yield great things’’ (p. xi). This, I am pleased to say, is not (...)
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  6. Susan Stuart & Gordana Dodig Crnkovic : 'Computation, Information, Cognition: The Nexus and the Liminal'. [REVIEW]Vincent C. Müller - 2009 - Cybernetics and Human Knowing 16 (3-4):201-203.
    Review of: "Computation, Information, Cognition: The Nexus and the Liminal", Ed. Susan Stuart & Gordana Dodig Crnkovic, Newcastle: Cambridge Scholars Publishing, September 2007, xxiv+340pp, ISBN: 9781847180902, Hardback: £39.99, $79.99 ---- Are you a computer? Is your cat a computer? A single biological cell in your stomach, perhaps? And your desk? You do not think so? Well, the authors of this book suggest that you think again. They propose a computational turn, a turn towards computational explanation and towards the (...)
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  7. Everyday Scientific Imagination: A Qualitative Study of the Uses, Norms, and Pedagogy of Imagination in Science.Michael Stuart - 2019 - Science & Education 28 (6-7):711-730.
    Imagination is necessary for scientific practice, yet there are no in vivo sociological studies on the ways that imagination is taught, thought of, or evaluated by scientists. This article begins to remedy this by presenting the results of a qualitative study performed on two systems biology laboratories. I found that the more advanced a participant was in their scientific career, the more they valued imagination. Further, positive attitudes toward imagination were primarily due to the perceived role of imagination in problem-solving. (...)
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  8. Guilty Artificial Minds: Folk Attributions of Mens Rea and Culpability to Artificially Intelligent Agents.Michael T. Stuart & Markus Kneer - 2021 - Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2).
    While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...)
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  9. The future won’t be pretty: The nature and value of ugly, AI-designed experiments.Michael T. Stuart - 2023 - In Milena Ivanova & Alice Murphy (eds.), The Aesthetics of Scientific Experiments. New York, NY: Routledge.
    Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...)
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  10. Utilitarianism.John Stuart Mill - 2000 - In Steven M. Cahn (ed.), Exploring Philosophy: An Introductory Anthology. New York, NY, United States of America: Oxford University Press USA.
    John Stuart Mill's Utilitarianism is one of the most important, controversial, and suggestive works of moral philosophy ever written. Mill defends the view that all human action should produce the greatest happiness overall, and that happiness itself is to be understood as consisting in "higher" and "lower" pleasures. This volume uses the 1871 edition of the text, the last to be published in Mill's lifetime. The text is preceded by a comprehensive introduction assessing Mill's philosophy and the alternatives to (...)
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  11. Relational Solidarity and Climate Change.Michael D. Doan & Susan Sherwin - 2016 - In Cheryl Macpherson (ed.), Climate Change and Health: Bioethical Insights into Values and Policy. Springer. pp. 79-88.
    The evidence is overwhelming that members of particularly wealthy and industry-owning segments of Western societies have much larger carbon footprints than most other humans, and thereby contribute far more than their “fair share” to the enormous problem of climate change. Nonetheless, in this paper we shall counsel against a strategy focused primarily on blaming and shaming and propose, instead, a change in the ethical conversation about climate change. We recommend a shift in the ethical framework from a focus on the (...)
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  12. Vegetarianism.Stuart Rachels - unknown
    1. Animal Cruelty Industrial farming is appallingly abusive to animals. Pigs. In America, nine-tenths of pregnant sows live in “gestation crates. ” These pens are so small that the animals can barely move. When the sows are first crated, they may flail around, in an attempt to get out. But soon they give up. Crated pigs often show signs of depression: they engage meaningless, repetitive behavior, like chewing the air or biting the bars of the stall. The sows live like (...)
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  13. How to tame your Feyerabend. [REVIEW]Michael T. Stuart - 2023 - Metascience 32 (2):173-176.
    This is a book review of Karim Bschir and Jamie Shaw (eds.); Interpreting Feyerabend: critical essays. Cambridge: Cambridge University Press, 2021, 290 pp, $99.99 HB.
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  14. Beyond Desartes and Newton: Recovering life and humanity.Stuart A. Kauffman & Arran Gare - 2015 - Progress in Biophysics and Molecular Biology 119 (3):219-244.
    Attempts to ‘naturalize’ phenomenology challenge both traditional phenomenology and traditional approaches to cognitive science. They challenge Edmund Husserl’s rejection of naturalism and his attempt to establish phenomenology as a foundational transcendental discipline, and they challenge efforts to explain cognition through mainstream science. While appearing to be a retreat from the bold claims made for phenomenology, it is really its triumph. Naturalized phenomenology is spearheading a successful challenge to the heritage of Cartesian dualism. This converges with the reaction against Cartesian thought (...)
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  15. Ockham on Memory and the Metaphysics of Human Persons.Susan Brower Toland - 2023 - Philosophical Quarterly (2):453-473.
    This paper explores William Ockham's account of memory with a view to understanding its implications for his account of the nature and persistence of human beings. I show that Ockham holds a view according to which memory (i) is a type of self-knowledge and (ii) entails the existence of an enduring psychological subject. This is significant when taken in conjunction with his account of the afterlife. For, Ockham holds that during the interim state—namely, after bodily death, but prior to bodily (...)
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  16. Models and minds.Stuart C. Shapiro & William J. Rapaport - 1991 - In Robert E. Cummins & John L. Pollock (eds.), Philosophy and AI. Cambridge: MIT Press. pp. 215--259.
    Cognitive agents, whether human or computer, that engage in natural-language discourse and that have beliefs about the beliefs of other cognitive agents must be able to represent objects the way they believe them to be and the way they believe others believe them to be. They must be able to represent other cognitive agents both as objects of beliefs and as agents of beliefs. They must be able to represent their own beliefs, and they must be able to represent beliefs (...)
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  17. The SNePS Family.Stuart C. Shapiro & William J. Rapaport - 1992 - Computers and Mathematics with Applications 23:243-275.
    SNePS, the Semantic Network Processing System 45, 54], has been designed to be a system for representing the beliefs of a natural-language-using intelligent system (a \cognitive agent"). It has always been the intention that a SNePS-based \knowledge base" would ultimatelybe built, not by a programmeror knowledge engineer entering representations of knowledge in some formallanguage or data entry system, but by a human informing it using a natural language (NL) (generally supposed to be English), or by the system reading books or (...)
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  18. Good-for-nothings.Susan Wolf - 2010 - Proceedings and Addresses of the American Philosophical Association 85 (2):47-64.
    Many academic works as well as many works of art are such that if they had never been produced, no one would be worse off. Yet it is hard to resist the judgment that some such works are good nonetheless. We are rightly grateful that these works were created; we rightly admire them, appreciate them, and take pains to preserve them. And the authors and artists who produced them have reason to be proud. This should lead us to question the (...)
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  19. How Thought Experiments Increase Understanding.Michael T. Stuart - 2018 - In Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.), The Routledge Companion to Thought Experiments. London: Routledge. pp. 526-544.
    We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the different ways (...)
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  20. Towards a dual process epistemology of imagination.Michael T. Stuart - 2019 - Synthese (2):1-22.
    Sometimes we learn through the use of imagination. The epistemology of imagination asks how this is possible. One barrier to progress on this question has been a lack of agreement on how to characterize imagination; for example, is imagination a mental state, ability, character trait, or cognitive process? This paper argues that we should characterize imagination as a cognitive ability, exercises of which are cognitive processes. Following dual process theories of cognition developed in cognitive science, the set of imaginative processes (...)
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  21. The autonomy defense of free speech.Susan J. Brison - 1998 - Ethics 108 (2):312-339.
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  22. The Shadow Side of Second-Person Engagement: Sin in Paul’s Letter to the Romans.Susan Grove Eastman - 2013 - European Journal for Philosophy of Religion 5 (4):125--144.
    This paper explores the characteristics of debilitating versus beneficial intersubjective engagements, by discussing the role of sin in the relational constitution of the self in Paul’s letter to the romans. Paul narrates ”sin’ as both a destructive holding environment and an interpersonal agent in a lethal embrace with human beings. The system of self-in-relation-to-sin is transactional, competitive, unidirectional, and domineering, operating implicitly within an economy of lack. Conversely, Paul’s account in romans of the divine action that moves persons into a (...)
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  23. Imagination: A Sine Qua Non of Science.Michael T. Stuart - 2017 - Croatian Journal of Philosophy (49):9-32.
    What role does the imagination play in scientific progress? After examining several studies in cognitive science, I argue that one thing the imagination does is help to increase scientific understanding, which is itself indispensable for scientific progress. Then, I sketch a transcendental justification of the role of imagination in this process.
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  24. Willing mothers: ectogenesis and the role of gestational motherhood.Susan Kennedy - 2020 - Journal of Medical Ethics 46 (5):320-327.
    While artificial womb technology is currently being studied for the purpose of improving neonatal care, I contend that this technology ought to be pursued as a means to address the unprecedented rate of unintended pregnancies. But ectogenesis, alongside other emerging reproductive technologies, is problematic insofar as it threatens to disrupt the natural link between procreation and parenthood that is normally thought to generate rights and responsibilities for biological parents. I argue that there remains only one potentially viable account of parenthood: (...)
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  25. Commentary on 'Inquiry is no mere conversation'.Susan T. Gardner - 2015 - Journal of Philosophy in Schools 2 (1):71-91.
    There is a long standing controversy in education as to whether education ought to be teacher- or student- centered. Interestingly, this controversy parallels the parent- vs. child-centered theoretical swings with regard to good parenting. One obvious difference between the two poles is the mode of communication. “Authoritarian” teaching and parenting strategies focus on the need of those who have much to learn to “do as they are told,” i.e. the authority talks, the child listens. “Non-authoritarian” strategies are anchored in the (...)
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  26. Scientists are Epistemic Consequentialists about Imagination.Michael T. Stuart - forthcoming - Philosophy of Science:1-22.
    Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...)
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  27. Thought Experiments: State of the Art.Michael T. Stuart, Yiftach Fehige & James Robert Brown - 2018 - In Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.), The Routledge Companion to Thought Experiments. London: Routledge. pp. 1-28.
    This is the introduction to the Routledge Companion to Thought Experiments.
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  28. Sizing Up Free Will: The Scale of Compatibilism.Stuart Doyle - 2021 - Journal of Mind and Behavior 42 (3 & 4):271-289.
    Is human free will compatible with the natural laws of the universe? To “compatibilists” who see free actions as emanating from the wants and reasons of human agents, free will looks perfectly plausible. However, “incompatibilists” claim to see the more ultimate sources of human action. The wants and reasons of agents are said to be caused by physical processes which are themselves mere natural results of the previous state of the world and the natural laws which govern it. This paper (...)
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  29. Peeking Inside the Black Box: A New Kind of Scientific Visualization.Michael T. Stuart & Nancy J. Nersessian - 2018 - Minds and Machines 29 (1):87-107.
    Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...)
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  30. The technology of participation as a means of improving universities in transitional economies.Stuart Umpleby, Tatiana Medvedeva & Alisa Oyler - 2004 - World Futures 60 (1 & 2):129 – 136.
    Group process methods for problem solving and planning are now widely used in organizations in the United States. Such methods, which involve active participation by employees, are not often used in Russia. We believe these methods would help Russia move from a centrally planned, authoritarian style of management to a more participatory, information-sharing style of management. Accordingly, two training sessions were held with faculty members at universities in Irkutsk and Novosibirsk. This article describes how these meetings were arranged, the results (...)
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  31. Should knowledge of management be organized as theories or as methods?Stuart Umpleby - 2002 - In Robert Trappl (ed.), Cybernetics and Systems: An International Journal. Austrian Society for Cybernetics Studies. pp. 2--492.
    The philosophy of science has traditionally assumed that knowledge should be organized in the form of theories. From theories propositions can be deduced that can be tested in experiments. Most propositions deduced from theories take the form of if-then statements. For example, if variable A increases, what happens to variable B, assuming that all other variables are held constant? However, an alternative way of organizing knowledge, in the form of producer-product relationships, was proposed by the philosopher E.A. Singer, Jr. and (...)
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  32. Sisyphus and Climate Change: Educating in the Context of Tragedies of the Commons.Susan T. Gardner - 2021 - Philosophies 6 (1):4.
    The tragedy of the commons is a primary contributing factor in ensuring that humanity makes no serious inroads in averting climate change. As a recent Canadian politician pointed out, we could shut down the Canadian economy tomorrow, and it would make no measurable difference in global greenhouse gas emissions. When coordinated effort is required, it would seem that doing the “right thing” alone is irrational: it will harm oneself with no positive consequences as a result. Such is the tragedy. And (...)
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  33. Six Signs of Scientism.Susan Haack - 2012 - Logos and Episteme 3 (1):75-95.
    As the English word “scientism” is currently used, it is a trivial verbal truth that scientism—an inappropriately deferential attitude to science—should be avoided. But it is a substantial question when, and why, deference to the sciences is inappropriate or exaggerated. This paper tries to answer that question by articulating “six signs of scientism”: the honorific use of “science” and its cognates; using scientific trappings purely decoratively; preoccupation with demarcation; preoccupation with “scientific method”; looking to the sciences for answers beyond their (...)
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  34. The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart - 2019 - In Mark Addis, Fernand Gobet & Peter Sozou (eds.), Scientific Discovery in the Social Sciences. Springer Verlag.
    When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...)
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  35. The Content-Dependence of Imaginative Resistance.Hanna Kim, Markus Kneer & Michael T. Stuart - 2018 - In Réhault Sébastien & Cova Florian (eds.), Advances in Experimental Philosophy of Aesthetics. Bloomsbury. pp. 143-166.
    An observation of Hume’s has received a lot of attention over the last decade and a half: Although we can standardly imagine the most implausible scenarios, we encounter resistance when imagining propositions at odds with established moral (or perhaps more generally evaluative) convictions. The literature is ripe with ‘solutions’ to this so-called ‘Puzzle of Imaginative Resistance’. Few, however, question the plausibility of the empirical assumption at the heart of the puzzle. In this paper, we explore empirically whether the difficulty we (...)
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  36. The material theory of induction and the epistemology of thought experiments.Michael T. Stuart - 2020 - Studies in History and Philosophy of Science Part A 83 (C):17-27.
    John D. Norton is responsible for a number of influential views in contemporary philosophy of science. This paper will discuss two of them. The material theory of induction claims that inductive arguments are ultimately justified by their material features, not their formal features. Thus, while a deductive argument can be valid irrespective of the content of the propositions that make up the argument, an inductive argument about, say, apples, will be justified (or not) depending on facts about apples. The argument (...)
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  37. Selling "The Reason Game".Susan T. Gardner - 2015 - Teaching Ethics 15 (1):129-136.
    There is a clear distinction between genuine and fraudulent reasoning. Being seduced by the latter can result in horrific consequences. This paper explores how we can arm ourselves, and others with the ability to recognize the difference between genuine and pseudo-reasoning, with the motivation to maintain an unbending commitment to follow the “impersonal” “norm-driven” rules of reason even in situations in which “non-reasonable” strategies appear to support short-term bests interests, and with the confidence that genuine reasoning is the best defense (...)
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  38. That Was the New Labour That Wasn't.Stuart White & Martin O'Neill - 2013 - Fabian Review.
    The New Labour we got was different from the New Labour that might have been, had the reform agenda associated with stakeholding and pluralism in the early-1990s been fully realised. We investigate the road not taken and what it means for ‘one nation’ Labour.
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  39. Human Agency.Susan T. Gardner - 2017 - International Journal of Applied Philosophy 31 (2):207-216.
    Let us suppose that we accept that humans can be correctly characterized as agents. Let us further presume that this capacity contrasts with most non-human animals. Thus, since agency is what uniquely constitutes what it is to be human, it must be of supreme importance. If these claims have any merit, it would seem to follow that, if agency can be nurtured through education, then it is an overarching moral imperative that educational initiatives be undertaken to do that. In this (...)
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  40. The Socially Constructed Self Still Does not Make Sense.Stuart Doyle - 2023 - Journal of Mind and Behavior 44 (3&4):195-207.
    From the time of Confucius and Aristotle up until the present day, theorists have argued that the individual self exists only as an aspect of social structures. The claim is not merely that the self is causally affected by social structures; but that the self is just social structure. The most recent iteration of this claim comes in book-length from Brian Lowery, though the argument was made more completely by Charles Taylor and Kenneth Gergen in the preceding decades. The most (...)
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  41. Teaching children to think ethically.Susan T. Gardner - 2012 - Analytic Teaching and Philosophical Praxis 32 (2):75-81.
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  42. Playing the Blame Game with Robots.Markus Kneer & Michael T. Stuart - 2021 - In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI’21 Companion). New York, NY, USA:
    Recent research shows – somewhat astonishingly – that people are willing to ascribe moral blame to AI-driven systems when they cause harm [1]–[4]. In this paper, we explore the moral- psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system (...)
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  43. A dialogue in support of social justice.Susan T. Gardner & Daniel J. Anderson - 2019 - Praxis and Saber 10 (21):215-233.
    There are kinds of dialogue that support social justice and others that do the reverse. The kinds of dialogue that support social justice require that anger be bracketed and that hiding in safe spaces be eschewed. All illegitimate ad hominem/ad feminem attacks are ruled out from the get-go. No dialogical contribution can be down-graded on account of the communicator’s gender, race, or religion. As well, this communicative approach unapologetically privileges reason in full view of theories and strategies that might seek (...)
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  44. Class Politics and Cultural Politics.Susan Dieleman - 2019 - Pragmatism Today 10 (1):23-36.
    After the 2016 election of Donald Trump, many commentators latched on to the accusations Rorty levels at the American Left in Achieving Our Country. Rorty foresaw, they claimed, that the Left's preoccupation with cultural politics and neglect of class politics would lead to the election of a "strongman" who would take advantage of and exploit a rise in populist sentiment. -/- In this paper, I generally agree with these readings of Rorty; he does think that the American Left has made (...)
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  45. Constitutive relevance & mutual manipulability revisited.Carl F. Craver, Stuart Glennan & Mark Povich - 2021 - Synthese 199 (3-4):8807-8828.
    An adequate understanding of the ubiquitous practice of mechanistic explanation requires an account of what Craver termed “constitutive relevance.” Entities or activities are constitutively relevant to a phenomenon when they are parts of the mechanism responsible for that phenomenon. Craver’s mutual manipulability account extended Woodward’s account of manipulationist counterfactuals to analyze how interlevel experiments establish constitutive relevance. Critics of MM argue that applying Woodward’s account to this philosophical problem conflates causation and constitution, thus rendering the account incoherent. These criticisms, we (...)
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  46. Experimentation on Analogue Models.Susan G. Sterrett - 2017 - In Springer handbook of model-based science (2017). Springer. pp. 857-878.
    Summary Analogue models are actual physical setups used to model something else. They are especially useful when what we wish to investigate is difficult to observe or experiment upon due to size or distance in space or time: for example, if the thing we wish to investigate is too large, too far away, takes place on a time scale that is too long, does not yet exist or has ceased to exist. The range and variety of analogue models is too (...)
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  47. How Philosophy of Mind Can Shape the Future.Susan Schneider & Pete Mandik - 2018 - In Amy Kind (ed.), Philosophy of Mind in the Twentieth and Twenty-First Centuries: The History of the Philosophy of Mind, Volume 6. New York: Routledge. pp. 303-319.
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  48. Contradiction in motion: Hegel's organic concept of life and value.Susan Songsuk Hahn - 2007 - Ithaca, New York: Cornell University Press.
    In this analysis of one of the most difficult and neglected topics in Hegelian studies, Songsuk Susan Hahn tackles the status of contradiction in Hegel's ...
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  49. Physically Similar Systems: a history of the concept.Susan G. Sterrett - 2017 - In Magnani Lorenzo & Bertolotti Tommaso Wayne (eds.), Springer Handbook of Model-Based Science. Springer. pp. 377-412.
    The concept of similar systems arose in physics, and appears to have originated with Newton in the seventeenth century. This chapter provides a critical history of the concept of physically similar systems, the twentieth century concept into which it developed. The concept was used in the nineteenth century in various fields of engineering, theoretical physics and theoretical and experimental hydrodynamics. In 1914, it was articulated in terms of ideas developed in the eighteenth century and used in nineteenth century mathematics and (...)
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  50. Neanderthals as familiar strangers and the human spark: How the ‘golden years’ of Neanderthal research reopen the question of human uniqueness.Susan Peeters & Hub Zwart - 2020 - History and Philosophy of the Life Sciences 42 (3):1-26.
    During the past decades, our image ofHomo neanderthalensishas changed dramatically. Initially, Neanderthals were seen as primitive brutes. Increasingly, however, Neanderthals are regarded as basically human. New discoveries and technologies have led to an avalanche of data, and as a result of that it becomes increasingly difficult to pinpoint what the difference between modern humans and Neanderthals really is. And yet, the persistent quest for a minimal difference which separates them from us is still noticeable in Neanderthal research. Neanderthal discourse is (...)
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