Search results for 'Belief dynamics' (try it on Scholar)

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  1. Jan Westerhoff (2002). Defining Ontological Categories in an Expansion of Belief Dynamics. Logic and Logical Analysis 10 (3):199-210.score: 180.0
    There have been attempts to get some logic out of belief dynamics, i.e. attempts to define the constants of propositional logic in terms of functions from sets of beliefs to sets of beliefs. It is interesting to see whether something similar can be done for ontological categories, i.e. ontological constants. The theory presented here will be a (modest) expansion of belief dynamics: it will not only incorporate beliefs, but also parts of beliefs, so called belief (...)
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  2. Brian Hill (2008). Towards a “Sophisticated” Model of Belief Dynamics. Part II: Belief Revision. Studia Logica 89 (3):291 - 323.score: 120.0
    In the companion paper (Towards a “sophisticated” model of belief dynamics. Part I), a general framework for realistic modelling of instantaneous states of belief and of the operations involving them was presented and motivated. In this paper, the framework is applied to the case of belief revision. A model of belief revision shall be obtained which, firstly, recovers the Gärdenfors postulates in a well-specified, natural yet simple class of particular circumstances; secondly, can accommodate iterated revisions, (...)
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  3. Brian Hill (2008). Towards a “Sophisticated” Model of Belief Dynamics. Part I: The General Framework. Studia Logica 89 (1):81 - 109.score: 120.0
    It is well-known that classical models of belief are not realistic representations of human doxastic capacity; equally, models of actions involving beliefs, such as decisions based on beliefs, or changes of beliefs, suffer from a similar inaccuracies. In this paper, a general framework is presented which permits a more realistic modelling both of instantaneous states of belief, and of the operations involving them. This framework is motivated by some of the inadequacies of existing models, which it overcomes, whilst (...)
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  4. Slavko Brkic (2004). Presuppositions, Logic, and Dynamics of Belief. Prolegomena 3 (2):151-177.score: 108.0
    In researching presuppositions dealing with logic and dynamic of belief we distinguish two related parts. The first part refers to presuppositions and logic, which is not necessarily involved with intentional operators. We are primarily concerned with classical, free and presuppositonal logic. Here, we practice a well known Strawson’s approach to the problem of presupposition in relation to classical logic. Further on in this work, free logic is used, especially Van Fraassen’s research of the role of presupposition in supervaluations logical (...)
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  5. Frederik Van De Putte & Peter Verdée (2012). The Dynamics of Relevance: Adaptive Belief Revision. Synthese 187 (S1):1-42.score: 108.0
    This paper presents eight (previously unpublished) adaptive logics for belief revision, each of which define a belief revision operation in the sense of the AGM framework. All these revision operations are shown to satisfy the six basic AGM postulates for belief revision, and Parikh's axiom of Relevance. Using one of these logics as an example, we show how their proof theory gives a more dynamic flavor to belief revision than existing approaches. It is argued that this (...)
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  6. Fenrong Liu, Jeremy Seligman & Patrick Girard (2014). Logical Dynamics of Belief Change in the Community. Synthese 191 (11):2403-2431.score: 108.0
    In this paper we explore the relationship between norms of belief revision that may be adopted by members of a community and the resulting dynamic properties of the distribution of beliefs across that community. We show that at a qualitative level many aspects of social belief change can be obtained from a very simple model, which we call ‘threshold influence’. In particular, we focus on the question of what makes the beliefs of a community stable under various dynamical (...)
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  7. David A. Lagnado Marius Usher, Konstantinos Tsetsos, Erica C. Yu (2013). Dynamics of Decision-Making: From Evidence Accumulation to Preference and Belief. Frontiers in Psychology 4.score: 108.0
    Dynamics of decision-making: from evidence accumulation to preference and belief.
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  8. S. O. Hansson (1999). A Textbook of Belief Dynamics. Theory Change and Database Updating. Kluwer.score: 102.0
    SUGGESTED COURSES Introductory level A (Requires very little background in logic .): 4: -9 - - -7 -2 Introductory level B: -9,:+-+ -,2:+,2: -,3:20+-22+ -7 -2 ...
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  9. Christopher J. G. Meacham (2008). Sleeping Beauty and the Dynamics of de Se Beliefs. Philosophical Studies 138 (2):245-269.score: 98.0
    This paper examines three accounts of the sleeping beauty case: an account proposed by Adam Elga, an account proposed by David Lewis, and a third account defended in this paper. It provides two reasons for preferring the third account. First, this account does a good job of capturing the temporal continuity of our beliefs, while the accounts favored by Elga and Lewis do not. Second, Elga’s and Lewis’ treatments of the sleeping beauty case lead to highly counterintuitive consequences. The proposed (...)
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  10. Moritz Schulz (2010). The Dynamics of Indexical Belief. Erkenntnis 72 (3):337 - 351.score: 96.0
    Indexical beliefs pose a special problem for standard theories of Bayesian updating. Sometimes we are uncertain about our location in time and space. How are we to update our beliefs in situations like these? In a stepwise fashion, I develop a constraint on the dynamics of indexical belief. As an application, the suggested constraint is brought to bear on the Sleeping Beauty problem.
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  11. A. Herzig & D. Longin (2000). Belief Dynamics in Cooperative Dialogues. Journal of Semantics 17 (2):91-115.score: 96.0
    We investigate how belief change in cooperative dialogues can be handled within a modal logic of action, belief, and intention. We first review the main approaches of the literature, and point out some of their shortcomings. We then propose a new framework for belief change. Our basic notion is that of a contextual topic: we suppose that we can associate a set of topics with every agent, speech act, and formula. This allows us to talk about an (...)
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  12. F. Liu & O. Roy (2010). Advances in Belief Dynamics: Introduction. Synthese 173 (2):123-126.score: 90.0
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  13. Cristiano Castelfranchi & Fabio Paglieri (2007). The Role of Beliefs in Goal Dynamics: Prolegomena to a Constructive Theory of Intentions. Synthese 155 (2):237 - 263.score: 90.0
    In this article we strive to provide a detailed and principled analysis of the role of beliefs in goal processing—that is, the cognitive transition that leads from a mere desire to a proper intention. The resulting model of belief-based goal processing has also relevant consequences for the analysis of intentions, and constitutes the necessary core of a constructive theory of intentions, i.e. a framework that not only analyzes what an intention is, but also explains how it becomes what it (...)
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  14. Richard Johns, Subjective Logic: Logic as Rational Belief Dynamics.score: 90.0
    What I’m calling “Subjective Logic” is a new approach to logic. Fundamentally it is a theory about what sentences mean, i.e. a theory of the proposition, but it includes an account of logical consequence, the propositional connectives, probability, and the nature of truth.
     
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  15. Nicholas Asher (1991). Discourse Representation Theory and Belief Dynamics. In. In André Fuhrmann & Michael Morreau (eds.), The Logic of Theory Change. Springer. 282--321.score: 90.0
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  16. Herzig Andreas & Longin Dominique (2000). Belief Dynamics in Cooperative Dialogues. Journal of Semantics 17 (2).score: 90.0
     
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  17. Sven Ove Hanssonis (2006). Of Technology, Stockholm. He is Also a Member of the Swedish Government's Advisory Board of Researchers. His Major Research Areas Are Philosophy of Risk, Decision Theory, Epistemology, Belief Dynamics, and Value Theory. His Most Recent Books Are Setting. [REVIEW] Foundations of Science 11:319-321.score: 90.0
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  18. Wolfgang Spohn (2002). Laws, Ceteris Paribus Conditions, and the Dynamics of Belief. Erkenntnis 57 (3):373-394.score: 84.0
    The characteristic difference between laws and accidental generalizations lies in our epistemic or inductive attitude towards them. This idea has taken various forms and dominated the discussion about lawlikeness in the last decades. Likewise, the issue about ceteris paribus conditions is essentially about how we epistemically deal with exceptions. Hence, ranking theory with its resources of defeasible reasoning seems ideally suited to explicate these points in a formal way. This is what the paper attempts to do. Thus it will turn (...)
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  19. Peter Forrest (1986). The Dynamics of Belief: A Normative Logic. Blackwell.score: 84.0
     
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  20. Peter Gärdenfors (1986). The Dynamics of Belief: Contractions and Revisions of Probability Functions. Topoi 5 (1):29-37.score: 78.0
    Using probability functions defined over a simple language as models of states of belief, my goal in this article has been to analyse contractions and revisions of beliefs. My first strategy was to formulate postulates for these processes. Close parallels between the postulates for contractions and the postulates for revisions have been established - the results in Section 5 show that contractions and revisions are interchangeable. As a second strategy, some suggestions for more or less explicit constructive definitions of (...)
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  21. Hans Rott (1999). Coherence and Conservatism in the Dynamics of Belief. Erkenntnis 50 (2-3):387-412.score: 78.0
    In this paper I discuss the foundations of a formal theory of coherent and conservative belief change that is (a) suitable to be used as a method for constructing iterated changes of belief, (b) sensitive to the history of earlier belief changes, and (c) independent of any form of dispositional coherence. I review various ways to conceive the relationship between the beliefs actually held by an agent and her belief change strategies (that also deal with potential (...)
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  22. Peter Gärdenfors (1992). The Dynamics of Belief Systems: Foundations Versus Coherence Theories. In Cristina Bicchieri, Dalla Chiara & Maria Luisa (eds.), Knowledge, Belief, and Strategic Interaction. Cambridge University Press. 377.score: 78.0
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  23. Mohammadreza Zolfagharian, Reza Akbari & Hamidreza Fartookzadeh (2014). Theory of Knowledge in System Dynamics Models. Foundations of Science 19 (2):189-207.score: 72.0
    Having entered into the problem structuring methods, system dynamics (SD) is an approach, among systems’ methodologies, which claims to recognize the main structures of socio-economic behaviors. However, the concern for building or discovering strong philosophical underpinnings of SD, undoubtedly playing an important role in the modeling process, is a long-standing issue, in a way that there is a considerable debate about the assumptions or the philosophical foundations of it. In this paper, with a new perspective, we have explored theory (...)
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  24. Peter Gärdenfors (1984). The Dynamics of Belief as a Basis for Logic. British Journal for the Philosophy of Science 35 (1):1-10.score: 72.0
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  25. Peter Gärdenfors (1985). Propositional Logic Based on the Dynamics of Belief. Journal of Symbolic Logic 50 (2):390-394.score: 72.0
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  26. N. Koertge (1999). Review. Belief and Resistance: Dynamics of Contemporary Intellectual Controversy. Barbara Herrnstein Smith. British Journal for the Philosophy of Science 50 (3):508-513.score: 72.0
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  27. John Cantwell (1999). Static Justification in the Dynamics of Belief. Erkenntnis 50 (2-3):481-503.score: 72.0
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  28. Volker Halbach & Erik J. Olsson (1999). Coherence and Dynamics of Belief. Erkenntnis 50.score: 72.0
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  29. Roy Gardner (2000). Book Review:Probability and Conditionals: Belief Revision and Rational Decision Ellery Eells, Brian Skyrms; Taking Chances: Essays on Rational Choice Jordan Howard Sobel; The Dynamics of Norms Cristina Bicchieri, Richard Jeffery, Brian Skyrms. [REVIEW] Philosophy of Science 67 (3):553-.score: 72.0
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  30. Fernando R. Velázquez-Quesada (2014). Dynamic Epistemic Logic for Implicit and Explicit Beliefs. Journal of Logic, Language and Information 23 (2):107-140.score: 72.0
    Epistemic logic with its possible worlds semantic model is a powerful framework that allows us to represent an agent’s information not only about propositional facts, but also about her own information. Nevertheless, agents represented in this framework are logically omniscient: their information is closed under logical consequence. This property, useful in some applications, is an unrealistic idealisation in some others. Many proposals to solve this problem focus on weakening the properties of the agent’s information, but some authors have argued that (...)
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  31. Hans Rott (1999). Coherence and Conser Atism in the Dynamics of Belief Part I: Finding the Right Framework. Erkenntnis 50:387-412.score: 72.0
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  32. Michael Welbourne (1988). The Dynamics of Belief: A Normative Logic. Philosophical Books 29 (1):36-38.score: 72.0
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  33. C. Castelfranchi & F. Paglieri (forthcoming). On the Integration of Goal Dynamics and Belief Structures', Department of Cognitive Science, University of Siena and University of Rome, to Appear In. Synthese.score: 72.0
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  34. W. Mee (forthcoming). Bo Petersson and Eric Clark (Eds), Identity Dynamics and the Construction of Boundaries; Benjamin Gregg, Thick Moralities, Thin Politics: Social Integration Across Communities of Belief. Thesis Eleven.score: 72.0
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  35. Barbara Herrnstein Smith (1997). Belief and Resistance: Dynamics of Contemporary Intellectual Controversy. Harvard University Press.score: 72.0
     
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  36. Barbara Herrnstein Smith & Noretta Koertge (1999). Reviews-Belief and Resistance: Dynamics of Intellectual Controversy. British Journal for the Philosophy of Science 50 (3):508-513.score: 72.0
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  37. Alexandru Baltag & Sonja Smets (2008). Probabilistic Dynamic Belief Revision. Synthese 165 (2):179 - 202.score: 64.0
    We investigate the discrete (finite) case of the Popper–Renyi theory of conditional probability, introducing discrete conditional probabilistic models for knowledge and conditional belief, and comparing them with the more standard plausibility models. We also consider a related notion, that of safe belief, which is a weak (non-negatively introspective) type of “knowledge”. We develop a probabilistic version of this concept (“degree of safety”) and we analyze its role in games. We completely axiomatize the logic of conditional belief, knowledge (...)
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  38. Lisa Eaker & Ari Stantas (2007). Tempering Tenacity: Peirce, Belief, Education, and Growth. International Journal of Applied Philosophy 21 (1):117-128.score: 54.0
    In this paper we shall draw on Peirce’s four methods of fixating belief to provide a template for examining classroom experience. Such a template provides a context for understanding the dynamics that emerge at the intersection of existing belief and new experience. We shall develop several examples of tenacity as an impediment to student growth, discuss traditional responses to the irrationally tenacious student (and teacher), develop Peirce’s four methods in the context of an educational setting, and draw (...)
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  39. Gustavo Cevolani (2014). Truth Approximation, Belief Merging, and Peer Disagreement. Synthese 191 (11):2383-2401.score: 54.0
    In this paper, we investigate the problem of truth approximation via belief merging, i.e., we ask whether, and under what conditions, a group of inquirers merging together their beliefs makes progress toward the truth about the underlying domain. We answer this question by proving some formal results on how belief merging operators perform with respect to the task of truth approximation, construed as increasing verisimilitude or truthlikeness. Our results shed new light on the issue of how rational (dis)agreement (...)
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  40. Holger Andreas (2011). A Structuralist Theory of Belief Revision. Journal of Logic, Language and Information 20 (2):205-232.score: 54.0
    The present paper aims at a synthesis of belief revision theory with the Sneed formalism known as the structuralist theory of science. This synthesis is brought about by a dynamisation of classical structuralism, with an abductive inference rule and base generated revisions in the style of Rott (2001). The formalism of prioritised default logic (PDL) serves as the medium of the synthesis. Why seek to integrate the Sneed formalism into belief revision theory? With the hybrid system of the (...)
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  41. Andrés Perea (2009). A Model of Minimal Probabilistic Belief Revision. Theory and Decision 67 (2):163-222.score: 54.0
    In the literature there are at least two models for probabilistic belief revision: Bayesian updating and imaging [Lewis, D. K. (1973), Counterfactuals, Blackwell, Oxford; Gärdenfors, P. (1988), Knowledge in flux: modeling the dynamics of epistemic states, MIT Press, Cambridge, MA]. In this paper we focus on imaging rules that can be described by the following procedure: (1) Identify every state with some real valued vector of characteristics, and accordingly identify every probabilistic belief with an expected vector of (...)
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  42. Darren Bradley (2013). Dynamic Beliefs and the Passage of Time. In A. Capone & N. Feit (eds.), Attitudes De Se. University of Chicago.score: 48.0
    How should our beliefs change over time? Much has been written about how our beliefs should change in the light of new evidence. But that is not the question I’m asking. Sometimes our beliefs change without new evidence. I previously believed it was Sunday. I now believe it’s Monday. In this paper I discuss the implications of such beliefs for philosophy of language. I will argue that we need to allow for ‘dynamic’ beliefs, that we need new norms of (...) change to model how they function, and that this gives Perry’s (1977) two tier account the advantage over Lewis’s (1979) theory -/- . (shrink)
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  43. Fenrong Liu (2010). Von Wright's “the Logic of Preference” Revisited. Synthese 175 (1):69 - 88.score: 48.0
    Preference is a key area where analytic philosophy meets philosophical logic. I start with two related issues: reasons for preference, and changes in preference, first mentioned in von Wright’s book The Logic of Preference but not thoroughly explored there. I show how these two issues can be handled together in one dynamic logical framework, working with structured two-level models, and I investigate the resulting dynamics of reason-based preference in some detail. Next, I study the foundational issue of entanglement between (...)
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  44. J. Benthem & E. Pacuit (2011). Dynamic Logics of Evidence-Based Beliefs. Studia Logica 99 (1-3):61-92.score: 48.0
    This paper adds evidence structure to standard models of belief, in the form of families of sets of worlds. We show how these more fine-grained models support natural actions of “evidence management”, ranging from update with external new information to internal rearrangement. We show how this perspective leads to new richer languages for existing neighborhood semantics for modal logic. Our main results are relative completeness theorems for the resulting dynamic logic of evidence.
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  45. J. Nescolarde-Selva & J. L. Usó-Doménech (2014). Model, Metamodel and Topology. Foundations of Science 19 (3):285-288.score: 48.0
    This reply to Gash’s (Found Sci 2013) commentary on Nescolarde-Selva and Usó-Doménech (Found Sci 2013) answers the three questions raised and at the same time opens up new questions.
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  46. Frank Zenker & Carlo Proietti (2014). Editors' Introduction: Social Dynamics and Collective Rationality. Synthese 191 (11):2353-2358.score: 48.0
    We provide a brief introduction to this special issue on social dynamics and collective rationality, and summarize the gist of the papers collected therein.
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  47. Eric Martin & Daniel Osherson (1997). Scientific Discovery Based on Belief Revision. Journal of Symbolic Logic 62 (4):1352-1370.score: 48.0
    Scientific inquiry is represented as a process of rational hypothesis revision in the face of data. For the concept of rationality, we rely on the theory of belief dynamics as developed in [5, 9]. Among other things, it is shown that if belief states are left unclosed under deductive logic then scientific theories can be expanded in a uniform, consistent fashion that allows inquiry to proceed by any method of hypothesis revision based on "kernel" contraction. In contrast, (...)
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  48. Sylvia Wenmackers, Danny E. P. Vanpoucke & Igor Douven (2014). Rationality: A Social-Epistemology Perspective. Frontiers in Psychology 5 (581).score: 48.0
    Both in philosophy and in psychology, human rationality has traditionally been studied from an “individualistic” perspective. Recently, social epistemologists have drawn attention to the fact that epistemic interactions among agents also give rise to important questions concerning rationality. In previous work, we have used a formal model to assess the risk that a particular type of social-epistemic interactions lead agents with initially consistent belief states into inconsistent belief states. Here, we continue this work by investigating the dynamics (...)
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  49. Cédric Dégremont & Jonathan Zvesper (2011). Dynamics We Can Believe In: A View From the Amsterdam School on the Centenary of Evert Willem Beth. Synthese 179 (2):223 - 238.score: 44.0
    Logic is breaking out of the confines of the single-agent static paradigm that has been implicit in all formal systems until recent times. We sketch some recent developments that take logic as an account of information-driven interaction. These two features, the dynamic and the social, throw fresh light on many issues within logic and its connections with other areas, such as epistemology and game theory.
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  50. Ingo Brigandt (2012). The Dynamics of Scientific Concepts: The Relevance of Epistemic Aims and Values. In Uljana Feest & Friedrich Steinle (eds.), Scientific Concepts and Investigative Practice. de Gruyter. 3--75.score: 42.0
    The philosophy of science that grew out of logical positivism construed scientific knowledge in terms of set of interconnected beliefs about the world, such as theories and observation statements. Nowadays science is also conceived of as a dynamic process based on the various practices of individual scientists and the institutional settings of science. Two features particularly influence the dynamics of scientific knowledge: epistemic standards and aims (e.g., assumptions about what issues are currently in need of scientific study and explanation). (...)
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