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  1. Expected comparative utility theory: A new theory of instrumental rationality.David Robert - manuscript
    This paper aims to address the question of how one ought to choose when one is uncertain about what outcomes will result from one’s choices, but when one can nevertheless assign probabilities to the different possible outcomes. These choices are commonly referred to as choices (or decisions) under risk. I assume in this paper that one ought to make instrumentally rational choices—more precisely, one ought to adopt suitable means to one’s morally permissible ends. Expected utility (EU) theory is generally accepted (...)
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  • The probabilistic analysis of language acquisition: Theoretical, computational, and experimental analysis.Anne S. Hsu, Nick Chater & Paul M. B. Vitányi - 2011 - Cognition 120 (3):380-390.
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  • Is human cognition adaptive?John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (3):471-485.
    Can the output of human cognition be predicted from the assumption that it is an optimal response to the information-processing demands of the environment? A methodology called rational analysis is described for deriving predictions about cognitive phenomena using optimization assumptions. The predictions flow from the statistical structure of the environment and not the assumed structure of the mind. Bayesian inference is used, assuming that people start with a weak prior model of the world which they integrate with experience to develop (...)
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  • Rationality and irrationality: Still fighting words.Paul Snow - 1991 - Behavioral and Brain Sciences 14 (3):505-506.
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  • Normative theories of categorization.James E. Corter - 1991 - Behavioral and Brain Sciences 14 (3):491-492.
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  • Limit theorems for Dempster's rule of combination.John Norton - 1988 - Theory and Decision 25 (3):287-313.
    I show that Dempster's Rule of combination can be represented in the theory of Markov chains and use this representation to derive limit theorems concerning the long term effect of updating belief with Dempster's rule.
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  • Human and nonhuman systems are adaptive in a different sense.Tamás Zétényi - 1991 - Behavioral and Brain Sciences 14 (3):507-508.
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  • Bayes in the context of suboptimality.Robert A. M. Gregson - 1991 - Behavioral and Brain Sciences 14 (3):497-498.
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  • Rationality, emotions, and social norms.Jon Elster - 1994 - Synthese 98 (1):21 - 49.
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  • Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor.Anna N. Rafferty, Thomas L. Griffiths & Dan Klein - 2014 - Cognitive Science 38 (7):1406-1431.
    Analyzing the rate at which languages change can clarify whether similarities across languages are solely the result of cognitive biases or might be partially due to descent from a common ancestor. To demonstrate this approach, we use a simple model of language evolution to mathematically determine how long it should take for the distribution over languages to lose the influence of a common ancestor and converge to a form that is determined by constraints on language learning. We show that modeling (...)
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  • Patterns of Research Productivity in the Business Ethics Literature: Insights from Analyses of Bibliometric Distributions. [REVIEW]Debabrata Talukdar - 2011 - Journal of Business Ethics 98 (1):137 - 151.
    In any academic discipline, published articles in respective journals represent "production units" of scientific knowledge, and bibliometric distributions reflect the patterns in such outputs across authors or "producers." Closely following the analysis approach used for similar studies in the economics and finance literature, we present the first study to examine whether there exists an empirical regularity in the bibliometric patterns of research productivity in the business ethics literature. Our results present strong evidence that there indeed exists a distinct empirical regularity. (...)
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  • Declarations of independence.Branden Fitelson & Alan Hájek - 2017 - Synthese 194 (10):3979-3995.
    According to orthodox (Kolmogorovian) probability theory, conditional probabilities are by definition certain ratios of unconditional probabilities. As a result, orthodox conditional probabilities are undefined whenever their antecedents have zero unconditional probability. This has important ramifications for the notion of probabilistic independence. Traditionally, independence is defined in terms of unconditional probabilities (the factorization of the relevant joint unconditional probabilities). Various “equivalent” formulations of independence can be given using conditional probabilities. But these “equivalences” break down if conditional probabilities are permitted to have (...)
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  • (1 other version)Zur entwicklung und rechtfertigung normativer theoriendas beispiel der gerechtigkeit Von glücksspielen.Hans Joachim Burscheid & Horst Struve - 2001 - Dialectica 55 (3):259–282.
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  • If human cognition is adaptive, can human knowledge consist of encodings?Robert L. Campbell & Mark H. Bickhard - 1991 - Behavioral and Brain Sciences 14 (3):488-489.
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  • Adaptivity and rational analysis.Bradley W. Dickinson - 1991 - Behavioral and Brain Sciences 14 (3):492-493.
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  • Adaptive cognition: The question is how.Jonathan St B. T. Evans - 1991 - Behavioral and Brain Sciences 14 (3):493-494.
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  • Rational analysis and illogical inference.Edmund Fantino & Stephanie Stolarz-Fantino - 1991 - Behavioral and Brain Sciences 14 (3):494-494.
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  • Does the environment have the same structure as Bayes' theorem?Gerd Gigerenzer - 1991 - Behavioral and Brain Sciences 14 (3):495-496.
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  • Conditional Probabilities and Density Operators in Quantum Modeling.John M. Myers - 2006 - Foundations of Physics 36 (7):1012-1035.
    Motivated by a recent proof of free choices in linking equations to the experiments they describe, I clarify some relations among purely mathematical entities featured in quantum mechanics (probabilities, density operators, partial traces, and operator-valued measures), thereby allowing applications of these entities to the modeling of a wider variety of physical situations. I relate conditional probabilities associated with projection-valued measures to conditional density operators identical, in some cases but not in others, to the usual reduced density operators. While a fatal (...)
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  • The Bell Theorem as a Special Case of a Theorem of Bass.Karl Hess & Walter Philipp - 2005 - Foundations of Physics 35 (10):1749-1767.
    The theorem of Bell states that certain results of quantum mechanics violate inequalities that are valid for objective local random variables. We show that the inequalities of Bell are special cases of theorems found 10 years earlier by Bass and stated in full generality by Vorob’ev. This fact implies precise necessary and sufficient mathematical conditions for the validity of the Bell inequalities. We show that these precise conditions differ significantly from the definition of objective local variable spaces and as an (...)
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  • The Raven Paradox Revisited in Terms of Random Variables.Bruno Carbonaro & Federica Vitale - 2013 - Erkenntnis 78 (4):763-795.
    The discussion about the Raven Paradox is ever-renewing: after nearly 70 years, many authors propose from time to time new solutions, and many authors state that these solutions are unsatisfactory. It is worthy to be carefully noted that though most arguments in favor or against the paradox are based on the notion of “probability” and on the application of Bayes’ law, not one of them makes use of the Kolmogorov axiomatic theory of probability and on the subsequent notion of “random (...)
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  • A Bayesian theory of thought.Howard Smokler - 1991 - Behavioral and Brain Sciences 14 (3):505-505.
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  • Quantum Locality.Robert B. Griffiths - 2011 - Foundations of Physics 41 (4):705-733.
    It is argued that while quantum mechanics contains nonlocal or entangled states, the instantaneous or nonlocal influences sometimes thought to be present due to violations of Bell inequalities in fact arise from mistaken attempts to apply classical concepts and introduce probabilities in a manner inconsistent with the Hilbert space structure of standard quantum mechanics. Instead, Einstein locality is a valid quantum principle: objective properties of individual quantum systems do not change when something is done to another noninteracting system. There is (...)
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  • Relativistic Brownian Motion and Gravity as an Eikonal Approximation to a Quantum Evolution Equation.O. Oron & L. P. Horwitz - 2005 - Foundations of Physics 35 (7):1181-1203.
    We solve the problem of formulating Brownian motion in a relativistically covariant framework in 3+1 dimensions. We obtain covariant Fokker–Planck equations with (for the isotropic case) a differential operator of invariant d’Alembert form. Treating the spacelike and timelike fluctuations separately in order to maintain the covariance property, we show that it is essential to take into account the analytic continuation of “unphysical” fluctuations.
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  • Why Monte Carlo Simulations Are Inferences and Not Experiments.Claus Beisbart & John D. Norton - 2012 - International Studies in the Philosophy of Science 26 (4):403-422.
    Monte Carlo simulations arrive at their results by introducing randomness, sometimes derived from a physical randomizing device. Nonetheless, we argue, they open no new epistemic channels beyond that already employed by traditional simulations: the inference by ordinary argumentation of conclusions from assumptions built into the simulations. We show that Monte Carlo simulations cannot produce knowledge other than by inference, and that they resemble other computer simulations in the manner in which they derive their conclusions. Simple examples of Monte Carlo simulations (...)
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  • A note on hysteresis in the social sciences. [REVIEW]Jon Elster - 1976 - Synthese 33 (1):371-391.
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  • But how does the brain think?Steven L. Small - 1991 - Behavioral and Brain Sciences 14 (3):504-505.
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  • Rational analysis and the Lens model.Reid Hastie & Kenneth R. Hammond - 1991 - Behavioral and Brain Sciences 14 (3):498-498.
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  • Adaptive rationality and identifiability of psychological processes.Dominic W. Massaro & Daniel Friedman - 1991 - Behavioral and Brain Sciences 14 (3):499-501.
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  • The Bee Battles: Karl von Frisch, Adrian Wenner and the Honey Bee Dance Language Controversy. [REVIEW]Tania Munz - 2005 - Journal of the History of Biology 38 (3):535 - 570.
    In 1967, American biologist Adrian Wenner (1928-) launched an extensive challenge to Karl von Frisch's (1886-1982) theory that bees communicate to each other the direction and distance of food sources by a symbolic dance language. Wenner and various collaborators argued that bees locate foods solely by odors. Although the dispute had largely run its course by 1973 -- von Frisch was awarded a Nobel Prize, while Wenner withdrew from active bee research -- it offers us a rare window into mid-twentieth (...)
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  • Probabilistic issues in statistical mechanics.Gérard G. Emch - 2005 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 36 (2):303-322.
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  • Rational analysis will not throw off the yoke of the precision-importance trade-off function.Wolfgang Schwarz - 1991 - Behavioral and Brain Sciences 14 (3):501-502.
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  • On the probabilistic postulate of quantum mechanics.Andrés Cassinello & José Luis Sánchez-Gómez - 1996 - Foundations of Physics 26 (10):1357-1374.
    We study whether the probabilistic postulate could be derived from basic principles. Through the analysis of the Strong Law of Large Numbers and its formulation in quantum mechanics, we show, contrary to the claim of the many-worlds interpretation defenders and the arguments of some other authors, the impossibility of obtaining the probabilistic postulate by means of the frequency analysis of an ensemble of infinite copies of a single system. It is shown, though, how the standard form of the probability as (...)
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  • On the nonapplicability of a rational analysis to human cognition.Eldar Shafir - 1991 - Behavioral and Brain Sciences 14 (3):502-503.
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  • Seeking allies: Modelling how listeners choose their musical friends. [REVIEW]Dave Billinge & Tom Addis - 2008 - Foundations of Science 13 (1):53-66.
    In this paper we describe in some detail a formal computer model of inferential discourse based on a belief system. The key issue is that a logical model in a computer, based on rational sets, can usefully model a human situation based on irrational sets. The background of this work is explained elsewhere, as is the issue of rational and irrational sets (Billinge and Addis, in: Magnani and Dossena (eds.), Computing, philosophy and cognition, 2004; Stepney et al., Journey: Non-classical philosophy—socially (...)
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  • Some thinking is irrational.Jonathan Baron - 1991 - Behavioral and Brain Sciences 14 (3):486-487.
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  • Optimality and psychological explanation.Peter Godfrey-Smith - 1991 - Behavioral and Brain Sciences 14 (3):496-497.
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  • Rational analysis: Too rational for comfort?Ronald de Sousa - 1991 - Behavioral and Brain Sciences 14 (3):492-492.
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  • Probing the “Achilles' heel” of rational analysis.Keith J. Holyoak - 1991 - Behavioral and Brain Sciences 14 (3):498-499.
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  • The rationality of causal inference.Thomas R. Shultz - 1991 - Behavioral and Brain Sciences 14 (3):503-504.
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  • Heuristic use or information integration in the estimation of subjective likelihood?Lawrence M. Ward - 1975 - Bulletin of the Psychonomic Society 6 (1):43-46.
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  • (1 other version)Carnap's inductive probabilities as a contribution to decision theory.Joachim Hornung - 1980 - Theoretical Medicine and Bioethics 1 (3):325-367.
    Common probability theories only allow the deduction of probabilities by using previously known or presupposed probabilities. They do not, however, allow the derivation of probabilities from observed data alone. The question thus arises as to how probabilities in the empirical sciences, especially in medicine, may be arrived at. Carnap hoped to be able to answer this question byhis theory of inductive probabilities. In the first four sections of the present paper the above mentioned problem is discussed in general. After a (...)
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  • The nonoptimality of Anderson's memory fits.Gordon M. Becker - 1991 - Behavioral and Brain Sciences 14 (3):487-488.
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  • (1 other version)Computational models.Paul Humphreys - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S1-S11.
    A different way of thinking about how the sciences are organized is suggested by the use of cross‐disciplinary computational methods as the organizing unit of science, here called computational templates. The structure of computational models is articulated using the concepts of construction assumptions and correction sets. The existence of these features indicates that certain conventionalist views are incorrect, in particular it suggests that computational models come with an interpretation that cannot be removed as well as a prior justification. A form (...)
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  • Computational resources do constrain behavior.John K. Tsotsos - 1991 - Behavioral and Brain Sciences 14 (3):506-507.
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  • The cognitive laboratory, the library and the Skinner box.Howard Rachlin - 1991 - Behavioral and Brain Sciences 14 (3):501-501.
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  • Making a Paradigmatic Convention Normal: Entrenching Means and Variances as Statistics.Martin H. Krieger - 1996 - Science in Context 9 (4):487-509.
    The ArgumentMost lay users of statistics think in terms of means (averages), variances or the square of the standard deviation, and Gaussians or bell-shaped curves. Such conventions are entrenched by statistical practice, by deep mathematical theorems from probability, and by theorizing in the various natural and social sciences. I am not claiming that the particular conventions (here, the statistics) we adopt are arbitrary. Entrenchment can be rational without its being as well categorical (excluding all other alternatives), even if that entrenchment (...)
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  • Beyond Helmholtz, or why not include inner determinants from the beginning?Hans-Georg Geissler - 1991 - Behavioral and Brain Sciences 14 (3):494-495.
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  • Carbon rights and economic development.Stephen J. DeCanio - 1992 - Critical Review: A Journal of Politics and Society 6 (2-3):389-410.
    Even in the absence of complete scientific consensus on the magnitude, timing, and regional distribution of the effects of global warming caused by greenhouse gas emissions, it is worthwhile to examine potential policy responses to the prospect of climate change. An internalization of the greenhouse externality based on property rights in carbon emissions offers the potential to promote rather than retard worldwide economic development. As the world economy moves in a market?oriented direction, the arbitrary wealth transfers associated with a carbon?rights (...)
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  • Mechanistic and rationalistic explanations are complementary.B. Chandrasekaran - 1991 - Behavioral and Brain Sciences 14 (3):489-491.
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