Results for 'Erik Olsson'

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  1. The presumption of nothingness.Erik Carlson & Erik J. Olsson - 2001 - Ratio 14 (3):203–221.
    Several distinguished philosophers have argued that since the state of affairs where nothing exists is the simplest and least arbitrary of all cosmological possibilities, we have reason to be surprised that there is in fact a non-empty universe. We review this traditional argument, and defend it against two recent criticisms put forward by Peter van Inwagen and Derek Parfit. Finally, we argue that the traditional argument nevertheless needs reformulation, and that the cogency of the reformulated argument depends partly on whether (...)
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  2.  64
    Is Our Existence in Need of Further Explanation?Erik Carlson & Erik J. Olsson - 1998 - Inquiry: An Interdisciplinary Journal of Philosophy 41 (3):255-275.
    Several philosophers have argued that our cosmos is either purposely created by some rational being, or else just one among a vast number of actually existing cosmoi. According to John Leslie and Peter van Inwagen, the existence of a cosmos containing rational beings is analogous to drawing the winning straw among millions of straws. The best explanation in the latter case, they maintain, is that the drawing was either rigged by someone, or else many such lotteries have taken place. Arnold (...)
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  3.  6
    Existence, Beneficience, and Design.Erik Carlson & Erik J. Olsson - 2001 - In Erik Carlson & Sysiek Sliwinski (eds.), Omnium-gatherum. pp. 79-92.
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  4. Organisational Processes in the Secondary Software Sector: A Case Study on Open Source Software Adoption.Brian Lings Erik Olsson - 2013 - Iris 34.
     
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  5.  21
    Coherentist Theories of Epistemic Justification.Erik J. Olsson - 2012 - The Stanford Encyclopedia of Philosophy.
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  6.  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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  7.  82
    In Defense of Pure Reason: A Rationalist Account of a priori Justification.Erik J. Olsson - 1998 - Erkenntnis 49 (2):243-249.
  8. 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.
  9.  34
    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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  10.  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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  11.  31
    Barcan Marcus on Belief and Rationality.Erik J. Olsson - unknown
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  12. Växtvärk - Perspektiv på invasiva främmande växter i svensk natur.Johanna Alkan Olsson, Helena Hanson, Erik Persson, Carina Sjöholm & Niklas Vareman (eds.) - 2021
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  13. 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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  14. 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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  15.  5
    Reason and Nature: Essays in the Theory of Rationality.Erik J. Olsson - 2005 - Philosophical Quarterly 55 (218):128-131.
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  16.  7
    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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  17. What is the problem of coherence and truth?Erik J. Olsson - 2002 - Journal of Philosophy 99 (5):246-272.
  18. 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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  19.  48
    A Bayesian Simulation Model of Group Deliberation and Polarization.Erik J. Olsson - 2013 - Springer.
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  20.  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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  21. Reliabilism, Stability, and the Value of Knowledge.Erik J. Olsson - 2007 - American Philosophical Quarterly 44 (4):343 - 355.
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  22. 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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  23.  31
    Coherence Theories of Epistemic Justification.Erik J. Olsson - 2017 - Stanford Encyclopedia of Philosophy.
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  24.  66
    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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  25. 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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  26.  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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  27. 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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  28. 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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  29.  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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  30.  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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  31.  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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  32.  97
    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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  33.  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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  34. 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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  35. Why coherence is not truth-conducive.Erik J. Olsson - 2001 - Analysis 61 (3):236–241.
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  36.  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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  37.  29
    Why coherence is not truth-conducive.Erik J. Olsson - 2001 - Analysis 61 (3):236-241.
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  38.  41
    Linking as Voting : How the Condorcet Jury Theorem in Political Science is Relevant to Webometrics.George Masterton, Erik J. Olsson & Staffan Angere - unknown
  39.  59
    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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  40. 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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  41. Knowledge, truth, and bullshit: Reflections on Frankfurt.Erik J. Olsson - 2008 - Midwest Studies in Philosophy 32 (1):94-110.
  42.  35
    A coherence interpretation of semi-revision.Erik J. Olsson - 1997 - Theoria 63 (1-2):105-134.
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  43.  69
    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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  44. On the coherence of higher-order beliefs.Stefan Schubert & Erik J. Olsson - 2012 - Southern Journal of Philosophy 50 (1):112-135.
    Let us by ‘first-order beliefs’ mean beliefs about the world, such as the belief that it will rain tomorrow, and by ‘second-order beliefs’ let us mean beliefs about the reliability of first-order, belief-forming processes. In formal epistemology, coherence has been studied, with much ingenuity and precision, for sets of first-order beliefs. However, to the best of our knowledge, sets including second-order beliefs have not yet received serious attention in that literature. In informal epistemology, by contrast, sets of the latter kind (...)
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  45.  28
    From Impact to Importance: The Current State of the Wisdom-of-Crowds Justification of Link-Based Ranking Algorithms.George Masterton & Erik J. Olsson - 2017 - Philosophy and Technology 31 (4):593-609.
    In a legendary technical report, the Google founders sketched a wisdom-of-crowds justification for PageRank arguing that the algorithm, by aggregating incoming links to webpages in a sophisticated way, tracks importance on the web. On this reading of the report, webpages that have a high impact as measured by PageRank are supposed to be important webpages in a sense of importance that is not reducible to mere impact or popularity. In this paper, we look at the state of the art regarding (...)
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  46. Is There a Statistical Solution to the Generality Problem?Julien Dutant & Erik J. Olsson - 2013 - Erkenntnis 78 (6):1347-1365.
    This article is concerned with a statistical proposal due to James R. Beebe for how to solve the generality problem for process reliabilism. The proposal is highlighted by Alvin I. Goldman as an interesting candidate solution. However, Goldman raises the worry that the proposal may not always yield a determinate result. We address this worry by proving a dilemma: either the statistical approach does not yield a determinate result or it leads to trivialization, i.e. reliability collapses into truth (and anti-reliability (...)
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  47. 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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  48.  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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  49. 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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  50.  37
    Argumentation and belief updating in social networks: a Bayesian approach.George Masterton & Erik J. Olsson - unknown
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