Results for 'Erik J. Olsson'

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  1.  70
    On the role of the research agenda in epistemic change.Erik J. Olsson & David Westlund - 2006 - Erkenntnis 65 (2):165 - 183.
    The standard way of representing an epistemic state in formal philosophy is in terms of a set of sentences, corresponding to the agent’s beliefs, and an ordering of those sentences, reflecting how well entrenched they are in the agent’s epistemic state. We argue that this wide-spread representational view – a view that we identify as a “Quinean dogma” – is incapable of making certain crucial distinctions. We propose, as a remedy, that any adequate representation of epistemic states must also include (...)
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  2.  21
    Coherentist Theories of Epistemic Justification.Erik J. Olsson - 2012 - The Stanford Encyclopedia of Philosophy.
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  3. Reliabilism and the Value of Knowledge.Alvin I. Goldman & Erik J. Olsson - 2009 - In Adrian Haddock, Alan Millar & Duncan Pritchard (eds.), Epistemic Value. Oxford: Oxford University Press. pp. 19-41.
  4.  11
    Knowledge, Truth, and Bullshit: Reflections on Frankfurt.Erik J. Olsson - 1981 - In Felicia Ackerman (ed.), Midwest Studies in Philosophy. Minneapolis: University of Minnesota Press. pp. 94–110.
    This chapter contains sections titled: Frankfurt's Meno Challenge Reliabilist Solutions Frankfurt's Puzzle about Bullshit A Social Epistemology Perspective References.
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  5.  82
    In Defense of Pure Reason: A Rationalist Account of a priori Justification.Erik J. Olsson - 1998 - Erkenntnis 49 (2):243-249.
  6.  28
    A Simulation Approach to Veritistic Social Epistemology.Erik J. Olsson - 2011 - Episteme 8 (2):127-143.
    In a seminal book, Alvin I. Goldman outlines a theory for how to evaluate social practices with respect to their “veritistic value”, i.e., their tendency to promote the acquisition of true beliefs in society. In the same work, Goldman raises a number of serious worries for his account. Two of them concern the possibility of determining the veritistic value of a practice in a concrete case because we often don't know what beliefs are actually true, and even if we did, (...)
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  7.  31
    Barcan Marcus on Belief and Rationality.Erik J. Olsson - unknown
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  8. Against coherence: truth, probability, and justification.Erik J. Olsson - 2005 - New York: Oxford University Press.
    It is tempting to think that, if a person's beliefs are coherent, they are also likely to be true. This truth conduciveness claim is the cornerstone of the popular coherence theory of knowledge and justification. Erik Olsson's new book is the most extensive and detailed study of coherence and probable truth to date. Setting new standards of precision and clarity, Olsson argues that the value of coherence has been widely overestimated. Provocative and readable, Against Coherence will make (...)
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  9. Book Review: Luc Bovens and Stephan Hartmann "Bayesian Epistemology". [REVIEW]Erik J. Olsson - 2005 - Studia Logica 81 (2):289-292.
    Book Review of Luc Bovens and Stephan Hartmann *Bayesian Epistemology* by Erik J. Olsson.
     
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  10.  5
    Pragmatisch denken.André Fuhrmann & Erik J. Olsson (eds.) - 2004 - De Gruyter.
    Dieses Buch versammelt einige der führenden Köpfe heutiger pragmatischer Philosophie zu einem konstruktiven Gespräch über die Zukunft des Pragmatismus. Robert B. Brandom, dessen Theorie der Bedeutung im Mittelpunkt mehrerer Beiträge des Bandes steht, hat das Einleitungskapitel geschrieben. Sämtliche zentrale Problemstellungen der pragmatischen Tradition werden aus teilweise sehr unterschiedlichen Perspektiven eingehend beleuchtet. Neben den Artikeln von Brandom und den Herausgebern, André Fuhrmann und Erik J. Olsson, enthält das Buch Originalbeiträge von Michael Esfeld, Wolfram Hinzen, Friedrich Kambartel, Isaac Levi, Ulrich (...)
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  11. What is the problem of coherence and truth?Erik J. Olsson - 2002 - Journal of Philosophy 99 (5):246-272.
  12.  48
    A Bayesian Simulation Model of Group Deliberation and Polarization.Erik J. Olsson - 2013 - Springer.
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  13.  5
    Reason and Nature: Essays in the Theory of Rationality.Erik J. Olsson - 2005 - Philosophical Quarterly 55 (218):128-131.
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  14.  53
    A simulation approach to veritistic social epistemology.Erik J. Olsson - 2011 - Episteme 8 (2):127-143.
    In a seminal book, Alvin I. Goldman outlines a theory for how to evaluate social practices with respect to their , i.e., their tendency to promote the acquisition of true beliefs (and impede the acquisition of false beliefs) in society. In the same work, Goldman raises a number of serious worries for his account. Two of them concern the possibility of determining the veritistic value of a practice in a concrete case because (1) we often don't know what beliefs are (...)
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  15. Reliabilism, Stability, and the Value of Knowledge.Erik J. Olsson - 2007 - American Philosophical Quarterly 44 (4):343 - 355.
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  16. Gettier and the method of explication: a 60 year old solution to a 50 year old problem.Erik J. Olsson - 2015 - Philosophical Studies 172 (1):57-72.
    I challenge a cornerstone of the Gettier debate: that a proposed analysis of the concept of knowledge is inadequate unless it entails that people don’t know in Gettier cases. I do so from the perspective of Carnap’s methodology of explication. It turns out that the Gettier problem per se is not a fatal problem for any account of knowledge, thus understood. It all depends on how the account fares regarding other putative counter examples and the further Carnapian desiderata of exactness, (...)
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  17.  29
    Coherence Theories of Epistemic Justification.Erik J. Olsson - 2017 - Stanford Encyclopedia of Philosophy.
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  18. Norms of assertion and communication in social networks.Erik J. Olsson & Aron Vallinder - 2013 - Synthese 190 (13):2557-2571.
    Epistemologists can be divided into two camps: those who think that nothing short of certainty or (subjective) probability 1 can warrant assertion and those who disagree with this claim. This paper addressed this issue by inquiring into the problem of setting the probability threshold required for assertion in such a way that that the social epistemic good is maximized, where the latter is taken to be the veritistic value in the sense of Goldman (Knowledge in a social world, 1999). We (...)
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  19. Reliability conducive measures of coherence.Erik J. Olsson & Stefan Schubert - 2007 - Synthese 157 (3):297-308.
    A measure of coherence is said to be truth conducive if and only if a higher degree of coherence (as measured) results in a higher likelihood of truth. Recent impossibility results strongly indicate that there are no (non-trivial) probabilistic coherence measures that are truth conducive. Indeed, this holds even if truth conduciveness is understood in a weak ceteris paribus sense (Bovens & Hartmann, 2003, Bayesian epistemology. New York, Oxford: Oxford University Press; Olsson, 2005, Against coherence: Truth probability and justification. (...)
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  20.  96
    A Naturalistic Approach to the Generality Problem.Erik J. Olsson - 2016 - In Brian P. McLaughlin & Hilary Kornblith (eds.), Goldman and His Critics. Hoboken, NJ, USA: Wiley. pp. 178–199.
    This chapter considers the present account to be a sufficient response to the generality problem as an objection that specifically targets reliabilism. It identifies the main challenge for reliabilism in relation to the typing of belief‐forming processes. The chapter focuses on insights in cognitive science in a way that should make this response attractive to practitioners of naturalized epistemology, including Goldman himself. The most stimulating part of Conee and Feldman's attack can charitably be viewed as targeting the notion that the (...)
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  21.  17
    Explicating Ignorance and Doubt : A Possible Worlds Approach.Erik J. Olsson & Carlo Proietti - 2016 - In Rik Peels & Martijn Blaauw (eds.), The Epistemic Dimensions of Ignorance. Cambridge University Press. pp. 81-95.
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  22. Why coherence is not truth-conducive.Erik J. Olsson - 2001 - Analysis 61 (3):236–241.
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  23. Coherentism, reliability and bayesian networks.Luc Bovens & Erik J. Olsson - 2000 - Mind 109 (436):685-719.
    The coherentist theory of justification provides a response to the sceptical challenge: even though the independent processes by which we gather information about the world may be of dubious quality, the internal coherence of the information provides the justification for our empirical beliefs. This central canon of the coherence theory of justification is tested within the framework of Bayesian networks, which is a theory of probabilistic reasoning in artificial intelligence. We interpret the independence of the information gathering processes (IGPs) in (...)
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  24.  29
    Why coherence is not truth-conducive.Erik J. Olsson - 2001 - Analysis 61 (3):236-241.
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  25.  58
    Corroborating testimony, probability and surprise.Erik J. Olsson - 2002 - British Journal for the Philosophy of Science 53 (2):273-288.
    Jonathan Cohen has claimed that in cases of witness agreement there is an inverse relationship between the prior probability and the posterior probability of what is being agreed: the posterior rises as the prior falls. As is demonstrated in this paper, this contention is not generally valid. In fact, in the most straightforward case exactly the opposite is true: a lower prior also means a lower posterior. This notwithstanding, there is a grain of truth to what Cohen is saying, as (...)
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  26. The Value of Knowledge.Erik J. Olsson - 2011 - Philosophy Compass 6 (12):874-883.
    A problem occupying much contemporary epistemology is that of explaining why knowledge is more valuable than mere true belief. This paper provides an overview of this debate, starting with historical figures and early work. The contemporary debate in mainstream epistemology is then surveyed and some recent developments that deserve special attention are highlighted, including mounting doubts about the prospects for virtue epistemology to solve the value problem as well as renewed interest in classical and reliabilist‐externalist responses.
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  27. Knowledge, truth, and bullshit: Reflections on Frankfurt.Erik J. Olsson - 2008 - Midwest Studies in Philosophy 32 (1):94-110.
  28.  35
    A coherence interpretation of semi-revision.Erik J. Olsson - 1997 - Theoria 63 (1-2):105-134.
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  29.  67
    The Impossibility of Coherence.Erik J. Olsson - 2005 - Erkenntnis 63 (3):387-412.
    There is an emerging consensus in the literature on probabilistic coherence that such coherence cannot be truth conducive unless the information sources providing the cohering information are individually credible and collectively independent. Furthermore, coherence can at best be truth conducive in a ceteris paribus sense. Bovens and Hartmann have argued that there cannot be any measure of coherence that is truth conducive even in this very weak sense. In this paper, I give an alternative impossibility proof. I provide a relatively (...)
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  30.  21
    Publish Late, Publish Rarely! : Network Density and Group Performance in Scientific Communication.Staffan Angere & Erik J. Olsson - 2017 - In Thomas Boyer-Kassem, Conor Mayo-Wilson & Michael Weisberg (eds.), Scientific Collaboration and Collective Knowledge. New York, USA: Oxford University Press.
    Research programs regularly compete to achieve the same goal, such as the discovery of the structure of DNA or the construction of a TEA laser. The more the competing programs share information, the faster the goal is likely to be reached, to society’s benefit. But the “priority rule”-the scientific norm according to which the first program to reach the goal in question must receive all the credit for the achievement-provides a powerful disincentive for programs to share information. How, then, is (...)
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  31.  50
    Cohering with.Erik J. Olsson - 1999 - Erkenntnis 50 (2-3):273 - 291.
    I argue that the analysis most capable of systematising our intuitions about coherence as a relation is one according to which a set of beliefs, A, coheres with another set, B, if and only if the set-theoretical union of A and B is a coherent set. The second problem I consider is the role of coherence in epistemic justification. I submit that there are severe problems pertaining to the idea, defended most prominently by Keith Lehrer, that justification amounts to coherence (...)
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  32. In defense of the conditional probability solution to the swamping problem.Erik J. Olsson - 2009 - Grazer Philosophische Studien 79 (1):93-114.
    Knowledge is more valuable than mere true belief. Many authors contend, however, that reliabilism is incompatible with this item of common sense. If a belief is true, adding that it was reliably produced doesn't seem to make it more valuable. The value of reliability is swamped by the value of truth. In Goldman and Olsson (2009), two independent solutions to the problem were suggested. According to the conditional probability solution, reliabilist knowledge is more valuable in virtue of being a (...)
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  33. Kinds of Learning and the Likelihood of Future True Beliefs: Reply to Jäger on Reliabilism and the Value Problem.Erik J. Olsson & Martin Jönsson - 2011 - Theoria 77 (3):214-222.
    We reply to Christoph Jäger's criticism of the conditional probability solution (CPS) to the value problem for reliabilism due to Goldman and Olsson (2009). We argue that while Jäger raises some legitimate concerns about the compatibility of CPS with externalist epistemology, his objections do not in the end reduce the plausibility of that solution.
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  34.  28
    Explicationist Epistemology and Epistemic Pluralism.Erik J. Olsson - 2017 - In Coliva Annalisa & Pedersen Nikolaj Jang Lee Linding (eds.), Epistemic Pluralism. Londra, Regno Unito: Palgrave Macmillan.
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  35.  61
    Believing more, risking less: On coherence, truth and non-trivial extensions.Luc Bovens & Erik J. Olsson - 2002 - Erkenntnis 57 (2):137 - 150.
    If you believe more things you thereby run a greater risk of being in error than if you believe fewer things. From the point of view of avoiding error, it is best not to believe anything at all, or to have very uncommitted beliefs. But considering the fact that we all in fact do entertain many specific beliefs, this recommendation is obviously in flagrant dissonance with our actual epistemic practice. Let us call the problem raised by this apparent conflict the (...)
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  36.  69
    Reply to Kvanvig on the Swamping Problem.Erik J. Olsson - 2011 - Social Epistemology 25 (2):173 - 182.
    According to the so?called swamping problem, reliabilist knowledge is no more valuable than mere true belief. In a paper called ?Reliabilism and the value of knowledge? (in Epistemic value, edited by A. Haddock, A. Millar, and D. H. Pritchard, pp. 19?41. Oxford: Oxford University Press, 2009), Alvin I. Goldman and myself proposed, among other things, a solution based on conditional probabilities. This approach, however, is heavily criticized by Jonathan L. Kvanvig in his paper ?The swamping problem redux: Pith and gist? (...)
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  37.  86
    A DDL Approach to Pluralistic Ignorance and Collective Belief.Carlo Proietti & Erik J. Olsson - 2014 - Journal of Philosophical Logic 43 (2-3):499-515.
    A group is in a state of pluralistic ignorance (PI) if, roughly speaking, every member of the group thinks that his or her belief or desire is different from the beliefs or desires of the other members of the group. PI has been invoked to explain many otherwise puzzling phenomena in social psychology. The main purpose of this article is to shed light on the nature of PI states – their structure, internal consistency and opacity – using the formal apparatus (...)
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  38.  52
    Coherence and the modularity of mind.Erik J. Olsson - 1997 - Australasian Journal of Philosophy 75 (3):404-11.
  39. Trust and the value of overconfidence: a Bayesian perspective on social network communication.Aron Vallinder & Erik J. Olsson - 2014 - Synthese 191 (9):1991-2007.
    The paper presents and defends a Bayesian theory of trust in social networks. In the first part of the paper, we provide justifications for the basic assumptions behind the model, and we give reasons for thinking that the model has plausible consequences for certain kinds of communication. In the second part of the paper we investigate the phenomenon of overconfidence. Many psychological studies have found that people think they are more reliable than they actually are. Using a simulation environment that (...)
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  40.  75
    Providing foundations for coherentism.Sven Ove Hansson & Erik J. Olsson - 1999 - Erkenntnis 51 (2-3):243-265.
    We prove that four theses commonly associated with coherentism are incompatible with the representation of a belief state as a logically closed set of sentences. The result is applied to the conventional coherence interpretation of the AGM theory of belief revision, which appears not to be tenable. Our argument also counts against the coherentistic acceptability of a certain form of propositional holism. We argue that the problems arise as an effect of ignoring the distinction between derived and non-derived beliefs, and (...)
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  41.  27
    Coherentism.Erik J. Olsson - 2017 - In Sven Bernecker & Kourken Michaelian (eds.), The Routledge Handbook of Philosophy of Memory. Routledge. pp. 310-322.
  42.  17
    Corroborating testimony and ignorance: A reply to Bovens, Fitelson, Hartmann and Snyder.Erik J. Olsson - 2002 - British Journal for the Philosophy of Science 53 (4):565-572.
    In an earlier paper, I objected to certain elements of L. Jonathan Cohen's account of corroborating testimony (Olsson [2002]). In their response to my article, Bovens, Fitelson, Hartmann and Snyder ([2002]) suggest some significant improvements of the probabilistic model which I used in assessing Cohen's theses and answer some additional questions which my study raised. More problematically, they also seek to defend Cohen against my criticism. I argue, in this reply, that their attempts in this direction are unsuccessful.
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  43. Do computer simulations support the Argument from Disagreement?Aron Vallinder & Erik J. Olsson - 2013 - Synthese 190 (8):1437-1454.
    According to the Argument from Disagreement (AD) widespread and persistent disagreement on ethical issues indicates that our moral opinions are not influenced by moral facts, either because there are no such facts or because there are such facts but they fail to influence our moral opinions. In an innovative paper, Gustafsson and Peterson (Synthese, published online 16 October, 2010) study the argument by means of computer simulation of opinion dynamics, relying on the well-known model of Hegselmann and Krause (J Artif (...)
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  44.  18
    Levi Contractions and AGM Contractions: A Comparison.Sven Ove Hansson & Erik J. Olsson - 1995 - Notre Dame Journal of Formal Logic 36 (1):103-119.
    A representation theorem is obtained for contraction operators that are based on Levi's recent proposal that selection functions should be applied to the set of saturatable contractions, rather than to maximal subsets as in the AGM framework. Furthermore, it is shown that Levi's proposal to base the selection on a weakly monotonic measure of informational value guarantees the satisfaction of both of Gärdenfors' supplementary postulates for contraction. These results indicate that Levi has succeeded in constructing a well-behaved operation of contraction (...)
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  45.  55
    The Dissemination of Scientific Fake News.Emmanuel J. Genot & Erik J. Olsson - 2021 - In Sven Bernecker, Amy K. Flowerree & Thomas Grundmann (eds.), The Epistemology of Fake News. New York, NY: Oxford University Press.
    Fake news can originate from an ordinary person carelessly posting what turns out to be false information or from the intentional actions of fake news factory workers, but broadly speaking it can also originate from scientific fraud. In the latter case, the article can be retracted upon discovery of the fraud. A case study shows, however, that such fake science can be visible in Google even after the article was retracted, in fact more visible than the retraction notice. We hypothesize (...)
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  46.  41
    Linking as Voting : How the Condorcet Jury Theorem in Political Science is Relevant to Webometrics.George Masterton, Erik J. Olsson & Staffan Angere - unknown
  47. Not giving the skeptic a hearing: Pragmatism and radical doubt.Erik J. Olsson - 2005 - Philosophy and Phenomenological Research 70 (1):98–126.
    Pragmatist responses to radical skepticism do not receive much attention in contemporary analytic epistemology. This observation is my motivation for undertaking a search for a coherent pragmatist reply to radical doubt, one that can compete, in terms of clarity and sophistication, with the currently most popular approaches, such as contextualism and relevant alternatives theory. As my point of departure I take the texts of C. S. Peirce and William James. The Jamesian response is seen to consist in the application of (...)
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  48.  38
    Avoiding epistemic hell: Levi on pragmatism and inconsistency.Erik J. Olsson - 2003 - Synthese 135 (1):119 - 140.
    Isaac Levi has claimed that our reliance on the testimony of others, and on the testimony of the senses, commonly produces inconsistency in our set of full beliefs. This happens if what is reported is inconsistent with what we believe to be the case. Drawing on a conception of the role of beliefs in inquiry going back to Dewey, Levi has maintained that the inconsistent belief corpus is a state of ``epistemic hell'': it is useless as a basis for inquiry (...)
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  49.  9
    Avoiding Epistemic Hell: Levi on Pragmatism and Inconsistency.Erik J. Olsson - 2003 - Synthese 135 (1):119-140.
    Isaac Levi has claimed that our reliance on the testimony of others, and on the testimony of the senses, commonly produces inconsistency in our set of full beliefs. This happens if what is reported is inconsistent with what we believe to be the case. Drawing on a conception of the role of beliefs in inquiry going back to Dewey, Levi has maintained that the inconsistent belief corpus is a state of ``epistemic hell'': it is useless as a basis for inquiry (...)
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  50.  34
    Why Bayesian Agents Polarize.Erik J. Olsson - forthcoming - In Fernando Broncano-Berrocal & Adam Carter (eds.), The Epistemology of Group Disagreement.
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