Results for 'Dr Kenny'

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  1.  13
    Australian Taxation and Ethics: Colonisation to Costello-Risation.Dr Kenny - forthcoming - Business and Professional Ethics Journal.
  2. Dr. Truthlove or: How I Learned to Stop Worrying and Love Bayesian Probabilities.Kenny Easwaran - 2016 - Noûs 50 (4):816-853.
    Many philosophers have argued that "degree of belief" or "credence" is a more fundamental state grounding belief. Many other philosophers have been skeptical about the notion of "degree of belief", and take belief to be the only meaningful notion in the vicinity. This paper shows that one can take belief to be fundamental, and ground a notion of "degree of belief" in the patterns of belief, assuming that an agent has a collection of beliefs that isn't dominated by some other (...)
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  3. Dr. Kenny on Practical Inference.P. T. Geach - 1966 - Analysis 26 (3):76 - 79.
  4.  50
    Dr Kenny's perceptions.Joyce Trebilcot - 1970 - Mind 79 (January):142-143.
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  5.  68
    Hector-Neri Castañeda. Imperative reasonings. Philosophy and phenomenological research, vol. 21 no. 1 , pp. 21–49. - B. A. O. Williams. Imperative inference. I. Analysis , vol. 23 suppl. , pp. 30–36. - P. T. Geach. Imperative inference. II. Analysis , vol. 23 suppl. , pp. 37–42. - Nicholas Rescher and John Robison. Can one infer commands from commands?Analysis , vol. 24 no. 5 , pp. 176–179. - André Gombay. Imperative inference and disjunction. Analysis , vol. 25 no. 3 , pp. 58–62. - Lennart Åqvist. Choice-offering and alternative-presenting disjunctive commands. Analysis , no. 5 , pp. 182–184. - A. J. Kenny. Practical inference. Analysis , vol. 26 no. 3 , pp. 65–75. - P. T. Geach. Dr. Kenny on practical inference. Analysis , vol. 26 no. 3 , pp. 76–79. - Yehoshua Bar-Hillel. Imperative inference. Analysis , vol. 26 no. 3 , pp. 79–82. - André Gombay. What is imperative inference?Analysis , vol. 27 no. 5 , pp. 145–152. - R. M. Hare. Some alleged differences between imperatives and indicat. [REVIEW]Jonathan Bennett - 1970 - Journal of Symbolic Logic 35 (2):314-318.
  6.  34
    Bijdrage tot de Kennis der Grieksche Toponymie. Door Dr J. C. B. Eijkman. Pp. 96. Amsterdam : H. J. Paris, 1929. Paper. [REVIEW]R. McKenzie - 1930 - The Classical Review 44 (4):148-149.
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  7. Wittgenstein.Anthony Kenny - 2006 - Oxford: Blackwell.
    First published in 1973, Sir Anthony Kenny’s classic introduction to Wittgenstein was widely praised for offering a lucid and historically informed account of the philosopher’s core concerns. Kenny's study is also remarkable for demonstrating the continuity between Wittgenstein’s early and late writings. Focusing on Wittgenstein’s philosophy of mind and language, Kenny closely examines the works of the middle years. He exposes apparent conflicts and then goes on to reconcile them, providing a persuasive argument for the unity of (...)
  8.  85
    The rise of modern philosophy.Anthony Kenny - 2006 - New York: Oxford University Press.
    Sir Anthony Kenny's engaging new multi-volume history of Western philosophy now advances into the modern era. The Rise of Modern Philosophy captures the fascinating story of the emergence, from the early sixteenth to the early nineteenth century, of the great ideas and intellectual systems that shaped modern thought. Kenny introduces us to some of the world's most original and influential thinkers and helps us gain an understanding of their famous works. The great minds we meet include Rene Descartes, (...)
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  9. Updating on the Credences of Others: Disagreement, Agreement, and Synergy.Kenny Easwaran, Luke Fenton-Glynn, Christopher Hitchcock & Joel D. Velasco - 2016 - Philosophers' Imprint 16 (11):1-39.
    We introduce a family of rules for adjusting one's credences in response to learning the credences of others. These rules have a number of desirable features. 1. They yield the posterior credences that would result from updating by standard Bayesian conditionalization on one's peers' reported credences if one's likelihood function takes a particular simple form. 2. In the simplest form, they are symmetric among the agents in the group. 3. They map neatly onto the familiar Condorcet voting results. 4. They (...)
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  10.  28
    Eliminating unpredictable variation through iterated learning.Kenny Smith & Elizabeth Wonnacott - 2010 - Cognition 116 (3):444-449.
  11.  34
    Language within your reach: Near–far perceptual space and spatial demonstratives.Kenny R. Coventry, Berenice Valdés, Alejandro Castillo & Pedro Guijarro-Fuentes - 2008 - Cognition 108 (3):889-895.
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  12.  11
    The influence of repeated interactions on the persuasiveness of simulation : A case study on smoking reduction.Kenny K. N. Chow - 2021 - Interaction Studies 22 (3):373-395.
    Mental or computer simulation of cause and effect of certain behaviors is a recognized approach to changing one’s attitude or triggering an action. Meanwhile, psychology research results suggest that frequency of simulation may affect the corresponding persuasiveness. This paper argues that with always-on sensing and data-driven visualization technologies, interactive tangible systems can be designed to simulate hypothetical outcomes of real-life behaviors in everyday contexts, which repeatedly stimulate users’ imagination of behavioral consequences and thereby behavioral intentions. To investigate the effect, a (...)
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  13. Cross-Situational Learning: An Experimental Study of Word-Learning Mechanisms.Kenny Smith, Andrew D. M. Smith & Richard A. Blythe - 2011 - Cognitive Science 35 (3):480-498.
    Cross-situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure-by-exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross-situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less successfully and more slowly (...)
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  14. Interview with Kenny Easwaran.Kenny Easwaran & William D'Alessandro - 2021 - The Reasoner 15 (2):9-12.
    Bill D'Alessandro talks to Kenny Easwaran about fractal music, Zoom conferences, being a good referee, teaching in math and philosophy, the rationalist community and its relationship to academia, decision-theoretic pluralism, and the city of Manhattan, Kansas.
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  15. Regularity and Hyperreal Credences.Kenny Easwaran - 2014 - Philosophical Review 123 (1):1-41.
    Many philosophers have become worried about the use of standard real numbers for the probability function that represents an agent's credences. They point out that real numbers can't capture the distinction between certain extremely unlikely events and genuinely impossible ones—they are both represented by credence 0, which violates a principle known as “regularity.” Following Skyrms 1980 and Lewis 1980, they recommend that we should instead use a much richer set of numbers, called the “hyperreals.” This essay argues that this popular (...)
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  16.  48
    What I believe.Anthony Kenny - 2006 - New York: Continuum.
    Anthony Kenny on his personal struggles with belief.
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  17. In Defense of Proper Functionalism: Cognitive Science Takes on Swampman.Kenny Boyce & Andrew Moon - 2016 - Synthese 193 (9):2987–3001.
    According to proper functionalist theories of warrant, a belief is warranted only if it is formed by cognitive faculties that are properly functioning according to a good, truth-aimed design plan, one that is often thought to be specified either by intentional design or by natural selection. A formidable challenge to proper functionalist theories is the Swampman objection, according to which there are scenarios involving creatures who have warranted beliefs but whose cognitive faculties are not properly functioning, or are poorly designed, (...)
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  18.  22
    Aquinas.Anthony Kenny - 2004 - Philosophical Quarterly 54 (216):457-462.
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  19. Conditional Probabilities.Kenny Easwaran - 2019 - In Richard Pettigrew & Jonathan Weisberg (eds.), The Open Handbook of Formal Epistemology. PhilPapers Foundation. pp. 131-198.
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  20. Expected Accuracy Supports Conditionalization—and Conglomerability and Reflection.Kenny Easwaran - 2013 - Philosophy of Science 80 (1):119-142.
    Expected accuracy arguments have been used by several authors (Leitgeb and Pettigrew, and Greaves and Wallace) to support the diachronic principle of conditionalization, in updates where there are only finitely many possible propositions to learn. I show that these arguments can be extended to infinite cases, giving an argument not just for conditionalization but also for principles known as ‘conglomerability’ and ‘reflection’. This shows that the expected accuracy approach is stronger than has been realized. I also argue that we should (...)
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  21.  85
    How Culture and Biology Interact to Shape Language and the Language Faculty.Kenny Smith - 2018 - Topics in Cognitive Science 12 (2):690-712.
    Smith gives an excellent overview on research in language evolution, in which he discusses several recent models of how linguistic systems and the cognitive capacities involved in language learning may have co‐evolved. He illustrates how combined pressures on language learning and communication/use produce compositionally structured languages. Once in place, a (culturally transmitted) communication system creates new selection pressures on the capacity for acquiring these systems.
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  22. Bayesianism I: Introduction and Arguments in Favor.Kenny Easwaran - 2011 - Philosophy Compass 6 (5):312-320.
    Bayesianism is a collection of positions in several related fields, centered on the interpretation of probability as something like degree of belief, as contrasted with relative frequency, or objective chance. However, Bayesianism is far from a unified movement. Bayesians are divided about the nature of the probability functions they discuss; about the normative force of this probability function for ordinary and scientific reasoning and decision making; and about what relation (if any) holds between Bayesian and non-Bayesian concepts.
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  23. An 'evidentialist' worry about Joyce's argument for Probabilism.Kenny Easwaran & Branden Fitelson - 2012 - Dialetica 66 (3):425-433.
    To the extent that we have reasons to avoid these “bad B -properties”, these arguments provide reasons not to have an incoherent credence function b — and perhaps even reasons to have a coherent one. But, note that these two traditional arguments for probabilism involve what might be called “pragmatic” reasons (not) to be (in)coherent. In the case of the Dutch Book argument, the “bad” property is pragmatically bad (to the extent that one values money). But, it is not clear (...)
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  24. Decision Theory without Representation Theorems.Kenny Easwaran - 2014 - Philosophers' Imprint 14.
    Naive versions of decision theory take probabilities and utilities as primitive and use expected value to give norms on rational decision. However, standard decision theory takes rational preference as primitive and uses it to construct probability and utility. This paper shows how to justify a version of the naive theory, by taking dominance as the most basic normatively required preference relation, and then extending it by various conditions under which agents should be indifferent between acts. The resulting theory can make (...)
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  25. Bayesianism II: Applications and Criticisms.Kenny Easwaran - 2011 - Philosophy Compass 6 (5):321-332.
    In the first paper, I discussed the basic claims of Bayesianism (that degrees of belief are important, that they obey the axioms of probability theory, and that they are rationally updated by either standard or Jeffrey conditionalization) and the arguments that are often used to support them. In this paper, I will discuss some applications these ideas have had in confirmation theory, epistemol- ogy, and statistics, and criticisms of these applications.
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  26.  63
    Husserl at the Limits of Phenomenology: Including Texts by Edmund Husserl, Maurice Merleau-Ponty (review).Robert Wade Kenny - 2003 - Philosophy and Rhetoric 36 (4):379-383.
    In lieu of an abstract, here is a brief excerpt of the content:Philosophy and Rhetoric 36.4 (2003) 379-383 [Access article in PDF] Husserl at the Limits of Phenomenology: Including Texts by Edmund Husserl. Maurice Merleau-Ponty. Ed. Leonard Lawlor with Bettina Bergo. Trans. Leonard Lawlor. Evanston, IL: Northwestern University Press, 2002. Pp. 192. $19.95 pbk. The most striking characteristic of this volume is the manner that it presents layers of interpretation to the reader, particularly in that the writing is not intended (...)
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  27. Probabilistic proofs and transferability.Kenny Easwaran - 2009 - Philosophia Mathematica 17 (3):341-362.
    In a series of papers, Don Fallis points out that although mathematicians are generally unwilling to accept merely probabilistic proofs, they do accept proofs that are incomplete, long and complicated, or partly carried out by computers. He argues that there are no epistemic grounds on which probabilistic proofs can be rejected while these other proofs are accepted. I defend the practice by presenting a property I call ‘transferability’, which probabilistic proofs lack and acceptable proofs have. I also consider what this (...)
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  28. Why Countable Additivity?Kenny Easwaran - 2013 - Thought: A Journal of Philosophy 2 (1):53-61.
    It is sometimes alleged that arguments that probability functions should be countably additive show too much, and that they motivate uncountable additivity as well. I show this is false by giving two naturally motivated arguments for countable additivity that do not motivate uncountable additivity.
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  29. Iterated learning in populations of Bayesian agents.Kenny Smith - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 697--702.
     
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  30. Reconsidering human cross-situational learning capacities: A revision to Yu & Smith's (2007) experimental paradigm.Kenny Smith - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 2711--2716.
     
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  31. Strong and weak expectations.Kenny Easwaran - 2008 - Mind 117 (467):633-641.
    Fine has shown that assigning any value to the Pasadena game is consistent with a certain standard set of axioms for decision theory. However, I suggest that it might be reasonable to believe that the value of an individual game is constrained by the long-run payout of repeated plays of the game. Although there is no value that repeated plays of the Pasadena game converges to in the standard strong sense, I show that there is a weaker sort of convergence (...)
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  32.  16
    Cued by What We See and Hear: Spatial Reference Frame Use in Language.Kenny R. Coventry, Elena Andonova, Thora Tenbrink, Harmen B. Gudde & Paul E. Engelhardt - 2018 - Frontiers in Psychology 9:353401.
    To what extent is the choice of what to say driven by seemingly irrelevant cues in the visual world being described? Among such cues, how does prior description affect how we process spatial scenes? When people describe where objects are located their use of spatial language is often associated with a choice of reference frame. Two experiments employing between-participants designs (N = 490) examined the effects of visual cueing and previous description on reference frame choice as reflected in spatial prepositions (...)
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  33. Why Physics Uses Second Derivatives.Kenny Easwaran - 2014 - British Journal for the Philosophy of Science 65 (4):845-862.
    I defend a causal reductionist account of the nature of rates of change like velocity and acceleration. This account identifies velocity with the past derivative of position and acceleration with the future derivative of velocity. Unlike most reductionist accounts, it can preserve the role of velocity as a cause of future positions and acceleration as the effect of current forces. I show that this is possible only if all the fundamental laws are expressed by differential equations of the same order. (...)
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  34. The Role of Axioms in Mathematics.Kenny Easwaran - 2008 - Erkenntnis 68 (3):381-391.
    To answer the question of whether mathematics needs new axioms, it seems necessary to say what role axioms actually play in mathematics. A first guess is that they are inherently obvious statements that are used to guarantee the truth of theorems proved from them. However, this may neither be possible nor necessary, and it doesn’t seem to fit the historical facts. Instead, I argue that the role of axioms is to systematize uncontroversial facts that mathematicians can accept from a wide (...)
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  35.  10
    The Affect Heuristic and Risk Perception – Stability Across Elicitation Methods and Individual Cognitive Abilities.Kenny Skagerlund, Mattias Forsblad, Paul Slovic & Daniel Västfjäll - 2020 - Frontiers in Psychology 11.
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  36. Accuracy, Coherence and Evidence.Branden Fitelson & Kenny Easwaran - 2015 - Oxford Studies in Epistemology 5:61-96.
    Taking Joyce’s (1998; 2009) recent argument(s) for probabilism as our point of departure, we propose a new way of grounding formal, synchronic, epistemic coherence requirements for (opinionated) full belief. Our approach yields principled alternatives to deductive consistency, sheds new light on the preface and lottery paradoxes, and reveals novel conceptual connections between alethic and evidential epistemic norms.
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  37.  24
    The evolution of logic.Kenny Easwaran - 2011 - Bulletin of Symbolic Logic 17 (4):533-535.
  38. Diachronic and Interpersonal Coherence.Kenny Easwaran & Reuben Stern - forthcoming - In Baron Reed & A. K. Flowerree (eds.), Towards an Expansive Epistemology: Norms, Action, and the Social Sphere. Routledge.
    Bayesians standardly claim that there is rational pressure for agents’ credences to cohere across time because they face bad (epistemic or practical) consequences if they fail to diachronically cohere. But as David Christensen has pointed out, groups of individual agents also face bad consequences if they fail to interpersonally cohere, and there is no general rational pressure for one agent's credences to cohere with another’s. So it seems that standard Bayesian arguments may prove too much. Here, we agree with Christensen (...)
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  39. The Wittgenstein reader.Anthony Kenny (ed.) - 2006 - Oxford: Blackwell.
    This popular selection of Wittgenstein’s key writings has now been updated to include new material relevant to recent debates about the philosopher. Follows the evolution of Wittgenstein’s philosophical thought from the Tractatus Logico-Philosophicus through to the Philosophical Investigations. Excerpts are arranged by topic and introduce readers to all the central concerns of Wittgenstein’s philosophy. Now includes a new chapter on ‘Sense, Nonsense and Philosophy’ incorporating material relevant to recent debates about Wittgenstein.
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  40. Bullshit activities.Kenny Easwaran - forthcoming - Analytic Philosophy.
    Frankfurt gave an account of “bullshit” as a statement made without regard to truth or falsity. Austin argued that a large amount of language consists of speech acts aimed at goals other than truth or falsity. We don't want our account of bullshit to include all performatives. I develop a modification of Frankfurt's account that makes interesting and useful categorizations of various speech acts as bullshit or not and show that this account generalizes to many other kinds of act as (...)
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  41.  37
    Rebutting and undercutting in mathematics.Kenny Easwaran - 2015 - Philosophical Perspectives 29 (1):146-162.
    In my () I argued that a central component of mathematical practice is that published proofs must be “transferable” — that is, they must be such that the author's reasons for believing the conclusion are shared directly with the reader, rather than requiring the reader to essentially rely on testimony. The goal of this paper is to explain this requirement of transferability in terms of a more general norm on defeat in mathematical reasoning that I will call “convertibility”. I begin (...)
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  42. Formal Epistemology.Kenny Easwaran - 2015 - Journal of Philosophical Logic 44 (6):651-662.
    Doxastic TheoriesThe application of formal tools to questions related to epistemology is of course not at all new. However, there has been a surge of interest in the field now known as “formal epistemology” over the past decade, with two annual conference series and an annual summer school at Carnegie Mellon University, in addition to many one-off events devoted to the field. A glance at the programs of these series illustrates the wide-ranging set of topics that have been grouped under (...)
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  43.  19
    Valuing the Priceless: Christian Convictions in Public Debate as a Critical Resource and as 'Delaying Veto' (J. Habermas).Maureen Junker-Kenny - 2005 - Studies in Christian Ethics 18 (1):43-56.
    In three respects, ethics can be marked by the category of the ‘priceless’. Its key reference point, ‘human dignity’, was described by Kant as the exact opposite to what can be priced in equivalents. As an enterprise, ethics is ‘priceless’ as a commitment of the human spirit which goes beyond and against the attitude of success calculation. Yet, an understanding of ethics as unconditional recognition and the anticipatory, asymmetric, innovative praxis (Helmut Peukert) that expresses it have a cost. Where does (...)
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  44.  52
    A dynamic model of ethical reasoning in speech pathology.B. Kenny, M. Lincoln & S. Balandin - 2007 - Journal of Medical Ethics 33 (9):508-513.
    Ten new graduate speech pathologists recounted their experiences in managing workplace ethical dilemmas in semi-structured interviews. Their stories were analysed for elements that described the nature and management of the ethical dilemmas. Ethical reasoning themes were generated to reflect the participants’ approaches to managing these dilemmas. Finally, a conceptual model, the Dynamic Model of Ethical Reasoning, was developed. This model incorporates the elements of awareness, independent problem solving, supported problem solving, and decision and outcome evaluation. Features of the model demonstrate (...)
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  45.  12
    The influence of repeated interactions on the persuasiveness of simulation.Kenny K. N. Chow - 2021 - Interaction Studies 22 (3):373-395.
    Mental or computer simulation of cause and effect of certain behaviors is a recognized approach to changing one’s attitude or triggering an action. Meanwhile, psychology research results suggest that frequency of simulation may affect the corresponding persuasiveness. This paper argues that with always-on sensing and data-driven visualization technologies, interactive tangible systems can be designed to simulate hypothetical outcomes of real-life behaviors in everyday contexts, which repeatedly stimulate users’ imagination of behavioral consequences and thereby behavioral intentions. To investigate the effect, a (...)
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  46.  39
    Does complex behaviour imply complex cognitive abilities?Kenny R. Coventry & John Clibbens - 2002 - Behavioral and Brain Sciences 25 (3):406-406.
    In this commentary, we propose that the shifts in symmetry Wynn documents may be explained in terms of simpler mechanisms than he suggests. Furthermore, we argue that it is dangerous to draw definitive conclusions about the cognitive abilities of a species from the level of symmetry observed in the artefacts produced by that species.
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  47.  51
    Gambling and decision-making: A dual process perspective.Kenny R. Coventry - 2008 - Behavioral and Brain Sciences 31 (4):444-445.
    The consideration of gambling as a decision-making disorder may fail to explain why the majority of people gamble, yet only a small percentage of people lose control of their behaviour to the point where their gambling becomes problematic. The application of dual process theories to gambling addiction offers a means of explaining the differences between and gambling, augmenting the multiple vulnerabilities proposed by Redish et al.
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  48.  17
    Critical notices.Anthony Kenny - 1965 - Mind 74 (293):92-105.
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  49.  30
    Is a holistic protolanguage a plausible precursor to language? A test case for a modern evolutionary linguistics.Kenny Smith - 2008 - Interaction Studies 9 (1):1-17.
  50. A classification of Newcomb problems and decision theories.Kenny Easwaran - 2019 - Synthese 198 (Suppl 27):6415-6434.
    Newcomb-like problems are classified by the payoff table of their act-state pairs, and the causal structure that gives rise to the act-state correlation. Decision theories are classified by the one or more points of intervention whose causal role is taken to be relevant to rationality in various problems. Some decision theories suggest an inherent conflict between different notions of rationality that are all relevant. Some issues with causal modeling raise problems for decision theories in the contexts where Newcomb problems arise.
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