Results for 'opinion pooling'

867 found
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  1. Probabilistic Opinion Pooling.Franz Dietrich & Christian List - 2016 - In Alan Hajek & Christopher Hitchcock (eds.), Oxford Handbook of Philosophy and Probability. Oxford: Oxford University Press.
    Suppose several individuals (e.g., experts on a panel) each assign probabilities to some events. How can these individual probability assignments be aggregated into a single collective probability assignment? This article reviews several proposed solutions to this problem. We focus on three salient proposals: linear pooling (the weighted or unweighted linear averaging of probabilities), geometric pooling (the weighted or unweighted geometric averaging of probabilities), and multiplicative pooling (where probabilities are multiplied rather than averaged). We present axiomatic characterisations of (...)
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  2. Probabilistic Opinion Pooling Generalized. Part One: General Agendas.Franz Dietrich & Christian List - 2017 - Social Choice and Welfare 48 (4):747–786.
    How can different individuals' probability assignments to some events be aggregated into a collective probability assignment? Classic results on this problem assume that the set of relevant events -- the agenda -- is a sigma-algebra and is thus closed under disjunction (union) and conjunction (intersection). We drop this demanding assumption and explore probabilistic opinion pooling on general agendas. One might be interested in the probability of rain and that of an interest-rate increase, but not in the probability of (...)
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  3. Probabilistic Opinion Pooling Generalised. Part Two: The Premise-Based Approach.Franz Dietrich & Christian List - 2017 - Social Choice and Welfare 48 (4):787–814.
    How can different individuals' probability functions on a given sigma-algebra of events be aggregated into a collective probability function? Classic approaches to this problem often require 'event-wise independence': the collective probability for each event should depend only on the individuals' probabilities for that event. In practice, however, some events may be 'basic' and others 'derivative', so that it makes sense first to aggregate the probabilities for the former and then to let these constrain the probabilities for the latter. We formalize (...)
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  4. Pooling: A User's Guide.Richard Pettigrew & Jonathan Weisberg -
    We often learn the credences of others without getting to hear the evidence on which they’re based. And, in these cases, it is often unfeasible or overly onerous to update on this social evidence by conditionalizing on it. How, then, should we respond to it? We consider four methods for aggregating your credences with the credences of others: arithmetic, geometric, multiplicative, and harmonic pooling. Each performs well for some purposes and poorly for others. We describe these in Sections 1-4. (...)
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  5. Support for Geometric Pooling.Jean Baccelli & Rush T. Stewart - forthcoming - Review of Symbolic Logic:1-40.
    Supra-Bayesianism is the Bayesian response to learning the opinions of others. Probability pooling constitutes an alternative response. One natural question is whether there are cases where probability pooling gives the supra-Bayesian result. This has been called the problem of Bayes-compatibility for pooling functions. It is known that in a common prior setting, under standard assumptions, linear pooling cannot be non-trivially Bayes-compatible. We show by contrast that geometric pooling can be non-trivially Bayes-compatible. Indeed, we show that, (...)
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  6. Aggregating Agents with Opinions About Different Propositions.Richard Pettigrew - manuscript
    There are many reasons we might want to take the opinions of various individuals and pool them to give the opinions of the group they constitute. If all the individuals in the group have probabilistic opinions about the same propositions, there is a host of pooling functions we might deploy, such as linear or geometric pooling. However, there are also cases where different members of the group assign probabilities to different sets of propositions, which might overlap a lot, (...)
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  7. Regret Averse Opinion Aggregation.Lee Elkin - forthcoming - Ergo: An Open Access Journal of Philosophy.
    It is often suggested that when opinions differ among individuals in a group, the opinions should be aggregated to form a compromise. This paper compares two approaches to aggregating opinions, linear pooling and what I call opinion agglomeration. In evaluating both strategies, I propose a pragmatic criterion, No Regrets, entailing that an aggregation strategy should prevent groups from buying and selling bets on events at prices regretted by their members. I show that only opinion agglomeration is able (...)
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  8. Another Approach to Consensus and Maximally Informed Opinions with Increasing Evidence.Rush T. Stewart & Michael Nielsen - 2018 - Philosophy of Science (2):236-254.
    Merging of opinions results underwrite Bayesian rejoinders to complaints about the subjective nature of personal probability. Such results establish that sufficiently similar priors achieve consensus in the long run when fed the same increasing stream of evidence. Initial subjectivity, the line goes, is of mere transient significance, giving way to intersubjective agreement eventually. Here, we establish a merging result for sets of probability measures that are updated by Jeffrey conditioning. This generalizes a number of different merging results in the literature. (...)
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  9. A Theory of Bayesian Groups.Franz Dietrich - 2019 - Noûs 53 (3):708-736.
    A group is often construed as one agent with its own probabilistic beliefs (credences), which are obtained by aggregating those of the individuals, for instance through averaging. In their celebrated “Groupthink”, Russell et al. (2015) require group credences to undergo Bayesian revision whenever new information is learnt, i.e., whenever individual credences undergo Bayesian revision based on this information. To obtain a fully Bayesian group, one should often extend this requirement to non-public or even private information (learnt by not all or (...)
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  10. The Aggregation of Propositional Attitudes: Towards a General Theory.Franz Dietrich & Christian List - 2010 - Oxford Studies in Epistemology 3.
    How can the propositional attitudes of several individuals be aggregated into overall collective propositional attitudes? Although there are large bodies of work on the aggregation of various special kinds of propositional attitudes, such as preferences, judgments, probabilities and utilities, the aggregation of propositional attitudes is seldom studied in full generality. In this paper, we seek to contribute to filling this gap in the literature. We sketch the ingredients of a general theory of propositional attitude aggregation and prove two new theorems. (...)
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  11. On the Accuracy of Group Credences.Richard Pettigrew - 2019 - Oxford Studies in Epistemology 6.
    to appear in Szabó Gendler, T. & J. Hawthorne (eds.) Oxford Studies in Epistemology volume 6 We often ask for the opinion of a group of individuals. How strongly does the scientific community believe that the rate at which sea levels are rising increased over the last 200 years? How likely does the UK Treasury think it is that there will be a recession if the country leaves the European Union? What are these group credences that such questions request? (...)
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  12. Aggregation for Potentially Infinite Populations Without Continuity or Completeness.David McCarthy, Kalle M. Mikkola & J. Teruji Thomas - 2019 - arXiv:1911.00872 [Econ.TH].
    We present an abstract social aggregation theorem. Society, and each individual, has a preorder that may be interpreted as expressing values or beliefs. The preorders are allowed to violate both completeness and continuity, and the population is allowed to be infinite. The preorders are only assumed to be represented by functions with values in partially ordered vector spaces, and whose product has convex range. This includes all preorders that satisfy strong independence. Any Pareto indifferent social preorder is then shown to (...)
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  13. Bayesian Group Belief.Franz Dietrich - 2010 - Social Choice and Welfare 35 (4):595-626.
    If a group is modelled as a single Bayesian agent, what should its beliefs be? I propose an axiomatic model that connects group beliefs to beliefs of group members, who are themselves modelled as Bayesian agents, possibly with different priors and different information. Group beliefs are proven to take a simple multiplicative form if people’s information is independent, and a more complex form if information overlaps arbitrarily. This shows that group beliefs can incorporate all information spread over the individuals without (...)
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  14. Fully Bayesian Aggregation.Franz Dietrich - forthcoming - Journal of Economic Theory.
    Can a group be an orthodox rational agent? This requires the group's aggregate preferences to follow expected utility (static rationality) and to evolve by Bayesian updating (dynamic rationality). Group rationality is possible, but the only preference aggregation rules which achieve it (and are minimally Paretian and continuous) are the linear-geometric rules, which combine individual values linearly and combine individual beliefs geometrically. Linear-geometric preference aggregation contrasts with classic linear-linear preference aggregation, which combines both values and beliefs linearly, but achieves only static (...)
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  15. Aggregating Causal Judgments.Richard Bradley, Franz Dietrich & Christian List - 2014 - Philosophy of Science 81 (4):491-515.
    Decision-making typically requires judgments about causal relations: we need to know the causal effects of our actions and the causal relevance of various environmental factors. We investigate how several individuals' causal judgments can be aggregated into collective causal judgments. First, we consider the aggregation of causal judgments via the aggregation of probabilistic judgments, and identify the limitations of this approach. We then explore the possibility of aggregating causal judgments independently of probabilistic ones. Formally, we introduce the problem of causal-network aggregation. (...)
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  16.  62
    Introduction to the Special Issue “Beliefs in Groups” of Theory and Decision.Franz Dietrich & Wlodek Rabinowicz - 2018 - Theory and Decision 85 (1):1-4.
    This symposium in the overlap of philosophy and decision theory is described well by its title “Beliefs in Groups”. Each word in the title matters, with one intended ambiguity. The symposium is about beliefs rather than other attitudes such as preferences; these beliefs take the form of probabilities in the first three contributions, binary yes/no beliefs (‘judgments’) in the fourth contribution, and qualitative probabilities (‘probability grades’) in the fifth contribution. The beliefs occur in groups, which is ambiguous between beliefs of (...)
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  17. Survey-Based Naming Conventions for Use in OBO Foundry Ontology Development.Schober Daniel, Barry Smith, Lewis Suzanna, E. Kusnierczyk, Waclaw Lomax, Jane Mungall, Chris Taylor, F. Chris, Rocca-Serra Philippe & Sansone Susanna-Assunta - 2009 - BMC Bioinformatics 10 (1):125.
    A wide variety of ontologies relevant to the biological and medical domains are available through the OBO Foundry portal, and their number is growing rapidly. Integration of these ontologies, while requiring considerable effort, is extremely desirable. However, heterogeneities in format and style pose serious obstacles to such integration. In particular, inconsistencies in naming conventions can impair the readability and navigability of ontology class hierarchies, and hinder their alignment and integration. While other sources of diversity are tremendously complex and challenging, agreeing (...)
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  18. A Thought of Legal Research with Examples and Demonstrations.Kiyoung Kim - 2015 - SSRN.
    The policy makers or lawyers may face the need of legal research for reasons. The congressmen may plan to make new laws to address the challenges of their constituent or to the interest of nation. The lawyers may need to serve their clients who like to know the legal issues involved, the strategies to deal with their loss and recovery, and prospect for winning the case if the dispute has gotten worse. The lawyers may practice in a solo business or (...)
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  19. Pooled Beneficence.Garrett Cullity - 2000 - In Michael Almeida (ed.), Imperceptible Harms and Benefits. Dordrecht: Kluwer. pp. 9-42.
    There can be situations in which, if I contribute to a pool of resources for helping a large number of people, the difference that my contribution makes to any of the people helped from the pool will be imperceptible at best, and maybe even non-existent. And this can be the case where it is also true that giving the same amount directly to one of the intended beneficiaries of the pool would have made a very large difference to her. Can (...)
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  20. Independent Opinions? On the Causal Foundations of Belief Formation and Jury Theorems.Franz Dietrich & Kai Spiekermann - 2013 - Mind 122 (487):655-685.
    Democratic decision-making is often defended on grounds of the ‘wisdom of crowds’: decisions are more likely to be correct if they are based on many independent opinions, so a typical argument in social epistemology. But what does it mean to have independent opinions? Opinions can be probabilistically dependent even if individuals form their opinion in causal isolation from each other. We distinguish four probabilistic notions of opinion independence. Which of them holds depends on how individuals are causally affected (...)
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  21. Expert Opinion and Second‐Hand Knowledge.Matthew A. Benton - 2016 - Philosophy and Phenomenological Research 92 (2):492-508.
    Expert testimony figures in recent debates over how best to understand the norm of assertion and the domain-specific epistemic expectations placed on testifiers. Cases of experts asserting with only isolated second-hand knowledge (Lackey 2011, 2013) have been used to shed light on whether knowledge is sufficient for epistemically permissible assertion. I argue that relying on such cases of expert testimony introduces several problems concerning how we understand expert knowledge, and the sharing of such knowledge through testimony. Refinements are needed to (...)
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  22. Opinion Leaders, Independence, and Condorcet's Jury Theorem.David M. Estlund - 1994 - Theory and Decision 36 (2):131-162.
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  23. Ontological Dependence: An Opinionated Survey.Kathrin Koslicki - 2013 - In Benjamin Schnieder, Miguel Hoeltje & Alex Steinberg (eds.), Varieties of Dependence: Ontological Dependence, Grounding, Supervenience, Response-Dependence (Basic Philosophical Concepts). Philosophia Verlag. pp. 31-64.
    This essay provides an opinionated survey of some recent developments in the literature on ontological dependence. Some of the most popular definitions of ontological dependence are formulated in modal terms; others in non-modal terms (e.g., in terms of the explanatory connective, ‘because’, or in terms of a non-modal conception of essence); some (viz., the existential construals of ontological dependence) emphasise requirements that must be met in order for an entity to exist; others (viz., the essentialist construals) focus on conditions that (...)
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  24. Opinion Polling and Election Predictions.Robert Northcott - 2015 - Philosophy of Science 82 (5):1260-1271.
    Election prediction by means of opinion polling is a rare empirical success story for social science. I examine the details of a prominent case, drawing two lessons of more general interest: Methodology over metaphysics. Traditional metaphysical criteria were not a useful guide to whether successful prediction would be possible; instead, the crucial thing was selecting an effective methodology. Which methodology? Success required sophisticated use of case-specific evidence from opinion polling. The pursuit of explanations via general theory or causal (...)
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  25. Arguments From Expert Opinion and Persistent Bias.Moti Mizrahi - 2018 - Argumentation 32 (2):175-195.
    Accounts of arguments from expert opinion take it for granted that expert judgments count as (defeasible) evidence for propositions, and so an argument that proceeds from premises about what an expert judges to a conclusion that the expert is probably right is a strong argument. In Mizrahi (2013), I consider a potential justification for this assumption, namely, that expert judgments are significantly more likely to be true than novice judgments, and find it wanting because of empirical evidence suggesting that (...)
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  26. Opinion Strength Influences the Spatial Dynamics of Opinion Formation.Bert Baumgaertner, Stephen Krone & Rebecca T. Tyson - 2016 - Journal of Mathematical Sociology 40 (4):207-218.
    Opinions are rarely binary; they can be held with different degrees of conviction, and this expanded attitude spectrum can affect the influence one opinion has on others. Our goal is to understand how different aspects of influence lead to recognizable spatio-temporal patterns of opinions and their strengths. To do this, we introduce a stochastic spatial agent-based model of opinion dynamics that includes a spectrum of opinion strengths and various possible rules for how the opinion strength of (...)
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  27. Why Arguments From Expert Opinion Are Still Weak: A Reply to Seidel.Moti Mizrahi - 2016 - Informal Logic 36 (2):238-252.
    In this paper, I reply to Seidel’s objections against my argument from expert performance to the effect that arguments from expert opinion are weak arguments. I clarify what Seidel takes to be unclear points in my argument and show that it withstands Seidel’s objections.
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  28.  60
    Topological Explanations: An Opinionated Appraisal.Daniel Kostić - forthcoming - In I. Lawler, E. Shech & K. Khalifa (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences.
    This chapter provides a systematic overview of topological explanations in the philosophy of science literature. It does so by presenting an account of topological explanation that I (Kostić and Khalifa 2021; Kostić 2020a; 2020b; 2018) have developed in other publications and then comparing this account to other accounts of topological explanation. Finally, this appraisal is opinionated because it highlights some problems in alternative accounts of topological explanations, and also it outlines responses to some of the main criticisms raised by the (...)
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  29. Knowledge and Opinion About the Same Thing in APo A-33.Lucas Angioni - 2013 - Dois Pontos 10 (2):255-290.
    This paper discusses the contrast between scientific knowledge and opinion as it is presented by Aristotle in Posterior Analytics A.33. Aristotle's contrast is formulated in terms of understanding or not understanding some "necessary items". I claim that the contrast can only be understood in terms of explanatory relevance. The "necessary items" are middle terms (or explanatory factors) that are necessary for the fully appropriate explanation. This approach gives a coherent interpretation of each step in the chapter.
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  30. Shared Intentions, Loose Groups and Pooled Knowledge.Olivier Roy & Anne Schwenkenbecher - 2019 - Synthese (5):4523-4541.
    We study shared intentions in what we call “loose groups”. These are groups that lack a codified organizational structure, and where the communication channels between group members are either unreliable or not completely open. We start by formulating two desiderata for shared intentions in such groups. We then argue that no existing account meets these two desiderata, because they assume either too strong or too weak an epistemic condition, that is, a condition on what the group members know and believe (...)
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  31. Future Progress in Artificial Intelligence: A Survey of Expert Opinion.Vincent C. Müller & Nick Bostrom - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 553-571.
    There is, in some quarters, concern about high–level machine intelligence and superintelligent AI coming up in a few decades, bringing with it significant risks for humanity. In other quarters, these issues are ignored or considered science fiction. We wanted to clarify what the distribution of opinions actually is, what probability the best experts currently assign to high–level machine intelligence coming up within a particular time–frame, which risks they see with that development, and how fast they see these developing. We thus (...)
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  32. Sensory Sociological Phenomenology, Somatic Learning and 'Lived' Temperature in Competitive Pool Swimming.Gareth McNarry, Jacquelyn Allen-Collinson & Adam Evans - 2020 - The Sociological Review 68.
    In this article, we address an existing lacuna in the sociology of the senses, by employing sociological phenomenology to illuminate the under-researched sense of temperature, as lived by a social group for whom water temperature is particularly salient: competitive pool swimmers. The research contributes to a developing ‘sensory sociology’ that highlights the importance of the socio-cultural framing of the senses and ‘sensory work’, but where there remains a dearth of sociological exploration into senses extending beyond the ‘classic five’ sensorium. Drawing (...)
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  33. Spatial Opinion Dynamics and the Effects of Two Types of Mixing.Bert Baumgaertner, Peter A. Fetros, Stephen M. Krone & Rebecca T. Tyson - 2018 - Physical Review E 98 (2):022310.
    Spatially situated opinions that can be held with different degrees of conviction lead to spatiotemporal patterns such as clustering (homophily), polarization, and deadlock. Our goal is to understand how sensitive these patterns are to changes in the local nature of interactions. We introduce two different mixing mechanisms, spatial relocation and nonlocal interaction (“telephoning”), to an earlier fully spatial model (no mixing). Interestingly, the mechanisms that create deadlock in the fully spatial model have the opposite effect when there is a sufficient (...)
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  34.  68
    Facts Vs. Opinions: Helping Students Overcome the Distinction.Galen Barry - forthcoming - Teaching Philosophy.
    A way to help your students overcome "that's just your opinion" ways of thinking.
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  35. Kant on Opinion, Belief, and Knowledge.Thomas Höwing - 2016 - In The Highest Good in Kant’s Philosophy. De Gruyter. pp. 201-222.
    The paper addresses an exegetical puzzle that is raised by Kant's distinction between opining (Meinen), believing (Glauben), and knowing (Wissen). In presenting his moral arguments, Kant often points out that belief, as he conceives of it, has a unique feature: it requires non-epistemic justification. Yet Kant's official formulation of the tripartite distinction runs counter to this claim. It describes Belief in terms of a set of two features, each of which also pertains to either opinion or knowledge. My aim (...)
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  36. Million Dollar Questions: Why Deliberation is More Than Information Pooling.Daniel Hoek & Richard Bradley - forthcoming - Social Choice and Welfare.
    Models of collective deliberation often assume that the chief aim of a deliberative exchange is the sharing of information. In this paper, we argue that an equally important role of deliberation is to draw participants’ attention to pertinent questions, which can aid the assembly and processing of distributed information by drawing deliberators’ attention to new issues. The assumption of logical omniscience renders classical models of agents’ informational states unsuitable for modelling this role of deliberation. Building on recent insights from psychology, (...)
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  37.  93
    Arguments From Expert Opinion – An Epistemological Approach.Christoph Lumer - 2020 - In Catarina Dutilh Novaes, Henrike Jansen, Jan Albert Van Laar & Bart Verheij (eds.), Reason to Dissent. Proceedings of the 3rd European Conference on Argumentation. College Publications. pp. 403-422.
    In times of populist mistrust towards experts, it is important and the aim of the paper to ascertain the rationality of arguments from expert opinion and to reconstruct their rational foundations as well as to determine their limits. The foundational approach chosen is probabilistic. However, there are at least three correct probabilistic reconstructions of such argumentations: statistical inferences, Bayesian updating, and interpretive arguments. To solve this competition problem, the paper proposes a recourse to the arguments' justification strengths achievable in (...)
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  38. INVESTIGATING KNOWLEDGE AND OPINION.John Corcoran - 2014 - In A. Buchsbaum A. Koslow (ed.), The Road to Universal Logic. Vol. I. SPRINGER. pp. 95-126.
    This work treats the correlative concepts knowledge and opinion, in various senses. In all senses of ‘knowledge’ and ‘opinion’, a belief known to be true is knowledge; a belief not known to be true is opinion. In this sense of ‘belief’, a belief is a proposition thought to be true—perhaps, but not necessarily, known to be true. All knowledge is truth. Some but not all opinion is truth. Every proposition known to be true is believed to (...)
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  39. The Appeal to Expert Opinion in Contexts of Political Deliberation and the Problem of Group Bias.Lavinia Marin - 2013 - Annals of the University of Bucharest - Philosophy Series 62 (2):91-106.
    In this paper, I will try to answer the question: How are we supposed to assess the expert’s opinion in an argument from the position of an outsider to the specialized field? by placing it in the larger context of the political status of epistemic authority. In order to do this I will first sketch the actual debate around the problem of expertise in a democracy and relate this to the issue of the status of science in society. Secondly, (...)
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  40.  6
    Opinion Dynamics and Bounded Confidence: Models, Analysis and Simulation.Hegselmann Rainer & Ulrich Krause - 2002 - Journal of Artificial Societies and Social Simulation 5 (3).
    When does opinion formation within an interacting group lead to consensus, polarization or fragmentation? The article investigates various models for the dynamics of continuous opinions by analytical methods as well as by computer simulations. Section 2 develops within a unified framework the classical model of consensus formation, the variant of this model due to Friedkin and Johnsen, a time-dependent version and a nonlinear version with bounded confidence of the agents. Section 3 presents for all these models major analytical results. (...)
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  41. The Solution to Poor Opinions is More Opinions: Peircean Pragmatist Tactics for the Epistemic Long Game.Catherine Legg - 2018 - In Michael Peters, Sharon Rider, Tina Besley & Mats Hyvonen (eds.), Post-Truth, Fake News: Viral Modernity & Higher Education. Dordrecht: Springer. pp. 43-58.
    Although certain recent developments in mendacious political manipulation of public discourse are horrifying to the academic mind, I argue that we should not panic. Charles Peirce’s pragmatist epistemology with its teleological arc, long horizon, and rare balance between robust realism and contrite fallibilism offers guidance to weather the storm, and perhaps even see it as inevitable in our intellectual development. This paper explores Peirce’s classic “four methods of fixing belief”, which takes us on an entertaining and still very pertinent tour (...)
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  42.  18
    Models of Opinion Dynamics and Mill-Style Arguments for Opinion Diversity.Bert Baumgaertner - 2018 - Historical Social Research 43 (1):210-33.
    John Stuart Mill advocated for increased interactions between individuals of dissenting opinions for the reason that it would improve society. Whether Mill and similar arguments that advocate for opinion diversity are valid depends on background assumptions about the psychology and sociality of individuals. The field of opinion dynamics is a burgeoning testing ground for how different combinations of sociological and psychological facts contribute to phenomena that affect opinion diversity, such as polarization. This paper applies some recent results (...)
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  43.  19
    Clinical Ethics Consultations in the Opinion of Polish Physicians.Marek Czarkowski, Joanna Różyńska, Bartosz Maćkiewicz & Jakub Zawiła-Niedźwiecki - 2021 - Journal of Bioethical Inquiry 18 (3):499-509.
    Clinical Ethics Consultations are an important tool for physicians in solving difficult cases. They are extremely common in North America and to a lesser extent also present in Europe. However, there is little data on this practice in Poland. We present results of a survey of 521 physicians practising in Poland concerning their opinion on CECs and related practices. We analysed the data looking at such issues as CECs’ perceived availability, use of CECs, and perceived usefulness of such support. (...)
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  44. On Accuracy and Coherence with Infinite Opinion Sets.Mikayla Kelley - forthcoming - Philosophy of Science.
    There is a well-known equivalence between avoiding accuracy dominance and having probabilistically coherent credences (see, e.g., de Finetti 1974, Joyce 2009, Predd et al. 2009, Pettigrew 2016). However, this equivalence has been established only when the set of propositions on which credence functions are defined is finite. In this paper, I establish connections between accuracy dominance and coherence when credence functions are defined on an infinite set of propositions. In particular, I establish the necessary results to extend the classic accuracy (...)
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  45. Opinions and Outlooks on Morphological Computation.Helmut Hauser, Rudolf M. Füchslin & Rolf Pfeifer (eds.) - 2014 - E-Book.
    Morphological Computation is based on the observation that biological systems seem to carry out relevant computations with their morphology (physical body) in order to successfully interact with their environments. This can be observed in a whole range of systems and at many different scales. It has been studied in animals – e.g., while running, the functionality of coping with impact and slight unevenness in the ground is "delivered" by the shape of the legs and the damped elasticity of the muscle-tendon (...)
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  46. Is Your Opinion on Abortion Wrong? Critical Thinking & Abortion.Nathan Nobis & Kristina Grob - 2020 - Science and Philosophy.
    For the past few years in the United States, almost daily there’s a headline about new proposed abortions restrictions. Conservatives cheer, liberals despair. But who is right here? Should abortion be generally legal or should it be banned? Is it usually immoral or is it usually not wrong at all? These same questions, of course, are asked in other countries. To many people, answers to these questions seem obvious, and people with different or contrary answers are, well, just wrong. But (...)
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  47. Utility Curves, Mean Opinion Scores Considered Biased.David Kirsh, H. Knoche & H. De Meer - 1999 - Proceedings of the Seventh Interna- Tional Workshop on Quality of Service.
    Mechanisms for QoS provisioning in communication networks range from flow-based resource reservation schemes, providing QoS guarantees, through QoS differentiation based on reservation aggregation techniques to adaptation of applications, compensating for incomplete reservations. Scalable, aggregation-based reservations can also be combined with adaptations for a more flexible and robust overall QoS provisioning. Adaptation is particularly important in wireless networks, where reservations schemes are more difficult to realize. It is widely accepted that usability of Cellular or Mobile IP can be largely improved if (...)
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  48. Re-Thinking Opinion and Judgment as Political Speech in Hannah Arendt's Political Thought.David Antonini - forthcoming - The Pluralist.
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  49. Divergent Perspectives on Expert Disagreement: Preliminary Evidence From Climate Science, Climate Policy, Astrophysics, and Public Opinion.James R. Beebe, Maria Baghramian, Luke Drury & Finnur Dellsén - 2019 - Environmental Communication 13:35-50.
    We report the results of an exploratory study that examines the judgments of climate scientists, climate policy experts, astrophysicists, and non-experts (N = 3367) about the factors that contribute to the creation and persistence of disagreement within climate science and astrophysics and about how one should respond to expert disagreement. We found that, as compared to non-experts, climate experts believe that within climate science (i) there is less disagreement about climate change, (ii) methodological factors play less of a role in (...)
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  50. I Am Also of the Opinion That Materialism Must Be Destroyed.Graham Harman - 2010 - Environment and Planning D 28 (5):1-17.
    This paper criticizes two forms of philosophical materialism that adopt opposite strategies but end up in the same place. Both hold that individual entities must be banished from philosophy. The first kind is ground floor materialism, which attempts to dissolve all objects into some deeper underlying basis; here, objects are seen as too shallow to be the truth. The second kind is first floor materialism, which treats objects as naive fictions gullibly posited behind the direct accessibility of appearances or relations; (...)
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