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  1. Lay arbitration of rules of inference.Richard E. Nisbett - 1981 - Behavioral and Brain Sciences 4 (3):349-350.
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  • Culture and systems of thought: Holistic versus analytic cognition.Richard E. Nisbett, Kaiping Peng, Incheol Choi & Ara Norenzayan - 2001 - Psychological Review 108 (2):291-310.
    The authors find East Asians to be holistic, attending to the entire field and assigning causality to it, making relatively little use of categories and formal logic, and relying on "dialectical" reasoning, whereas Westerners, are more analytic, paying attention primarily to the object and the categories to which it belongs and using rules, including formal logic, to understand its behavior. The 2 types of cognitive processes are embedded in different naive metaphysical systems and tacit epistemologies. The authors speculate that the (...)
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  • L. J. Cohen versus Bayesianism.Ilkka Niiniluoto - 1981 - Behavioral and Brain Sciences 4 (3):349-349.
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  • Developmental evidence and introspection.Shaun Nichols - 1993 - Behavioral and Brain Sciences 16 (1):64-65.
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  • Steadfast intentions.Keith K. Niall - 1990 - Behavioral and Brain Sciences 13 (4):679-680.
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  • Error in action and belief.Natika Newton - 1989 - Philosophia 19 (4):363-401.
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  • Do mental models provide an adequate account of syllogistic reasoning performance?Stephen E. Newstead - 1993 - Behavioral and Brain Sciences 16 (2):359-360.
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  • The past and future of experimental philosophy.Thomas Nadelhoffer & Eddy Nahmias - 2007 - Philosophical Explorations 10 (2):123 – 149.
    Experimental philosophy is the name for a recent movement whose participants use the methods of experimental psychology to probe the way people think about philosophical issues and then examine how the results of such studies bear on traditional philosophical debates. Given both the breadth of the research being carried out by experimental philosophers and the controversial nature of some of their central methodological assumptions, it is of no surprise that their work has recently come under attack. In this paper we (...)
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  • Positive Illusions, Perceived Control and the Free Will Debate.Thomas Nadelhoffer & Tatyana Matveeva - 2009 - Mind and Language 24 (5):495-522.
    It is a common assumption among both philosophers and psychologists that having accurate beliefs about ourselves and the world around us is always the epistemic gold standard. However, there is gathering data from social psychology that suggest that illusions are quite prevalent in our everyday thinking and that some of these illusions may even be conducive to our overall well being. In this paper, we explore the relevance of these so-called 'positive illusions' to the free will debate. More specifically, we (...)
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  • The powers of machines and minds.Chris Mortensen - 1990 - Behavioral and Brain Sciences 13 (4):678-679.
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  • Mismatching categories?William Edward Morris & Robert C. Richardson - 1993 - Behavioral and Brain Sciences 16 (1):62-63.
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  • Heuristics and counterfactual self-knowledge.Adam Morton - 1993 - Behavioral and Brain Sciences 16 (1):63-64.
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  • Does consequentialism pay?Adam Morton - 1994 - Behavioral and Brain Sciences 17 (1):24-24.
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  • Knowledge of the psychological states of self and others is not only theory-laden but also data-driven.Chris Moore & John Barresi - 1993 - Behavioral and Brain Sciences 16 (1):61-62.
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  • The infinite regress of optimization.Philippe Mongin - 1991 - Behavioral and Brain Sciences 14 (2):229-230.
    A comment on Paul Schoemaker's target article in Behavioral and Brain Sciences, 14 (1991), p. 205-215, "The Quest for Optimality: A Positive Heuristic of Science?" (https://doi.org/10.1017/S0140525X00066140). This comment argues that the optimizing model of decision leads to an infinite regress, once internal costs of decision (i.e., information and computation costs) are duly taken into account.
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  • Posséder un concept selon Peacocke.Martin Montminy - 2001 - Dialogue 40 (2):219-.
    ABSTRACT: Christopher Peacocke defends a sophisticated version of Conceptual Role Theory. For him, the nature of a concept is completely determined by an account of what it is to possess that concept. The possession conditions he puts forward rest on the notion of primitively compelling transitions or, more recently, on the idea of implicit conceptions. I show that his account is circular and appeals to a dubious distinction between constitutive transitions and transitions that depend on factual beliefs. I also point (...)
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  • Explanation and evaluation in cognitive science.Richard Montgomery - 1995 - Philosophy of Science 62 (2):261-82.
    With some regularity, cognitive scientists seem to introduce cognitive values into their explanations. After identifying examples of this practice, I sketch an account of psychological explanation that, under certain conditions, legitimizes value-laden cognitive explanations in which evaluative claims appear in the explanandum. I then present and discuss two applications of the proposed account in order to show its viability and explore its consequences.
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  • Does epistemology reduce to cognitive psychology?Richard Montgomery - 1989 - Philosophia 19 (2-3):245-263.
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  • Commitment, Revelation, and the Testaments of Belief: The Metrics of Measurement of Corporate Social Performance.Barry M. Mitnick - 2000 - Business and Society 39 (4):419-465.
    Three characteristic problems in the measurement of corporate social performance (CSP) center around the need to measure three “metrics”: the metric of performance evaluation (M1), the metric of performance measurement (M2), and the metric of performance perception and belief (M3). The central issues in each metric are commitment, revelation, and belief, respectively. This article discusses each metric and provides sets of theoretical propositions under M2 and M3 describing behavior in those contexts. Some of the propositions inM2form an explicit partial theory (...)
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  • Two dynamic criteria for validating claims of optimality.Geoffrey F. Miller - 1991 - Behavioral and Brain Sciences 14 (2):228-229.
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  • Models are just prostheses for our brains.Manfred Milinski - 1991 - Behavioral and Brain Sciences 14 (1):101-101.
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  • Let evolution take care of its own.Geoffrey F. Miller & Peter M. Todd - 1991 - Behavioral and Brain Sciences 14 (1):101-102.
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  • Grounding: it’s (probably) all in the head.Kristie Miller & James Norton - 2017 - Philosophical Studies 174 (12):3059-3081.
    In this paper we provide a psychological explanation for ‘grounding observations’—observations that are thought to provide evidence that there exists a relation of ground. Our explanation does not appeal to the presence of any such relation. Instead, it appeals to certain evolved cognitive mechanisms, along with the traditional modal relations of supervenience, necessitation and entailment. We then consider what, if any, metaphysical conclusions we can draw from the obtaining of such an explanation, and, in particular, if it tells us anything (...)
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  • Contrapositivism; or, The only evidence worth paying for is contained in the negatives.David Miller - 1983 - Behavioral and Brain Sciences 6 (2):256-257.
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  • Complexity and optimality.Dauglas A. Miller & Steven W. Zucker - 1991 - Behavioral and Brain Sciences 14 (2):227-228.
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  • Self-deception as pseudo-rational regulation of belief.Christoph Michel & Albert Newen - 2010 - Consciousness and Cognition 19 (3):731-744.
    Self-deception is a special kind of motivational dominance in belief-formation. We develop criteria which set paradigmatic self-deception apart from related phenomena of automanipulation such as pretense and motivational bias. In self-deception rational subjects defend or develop beliefs of high subjective importance in response to strong counterevidence. Self-deceivers make or keep these beliefs tenable by putting prima-facie rational defense-strategies to work against their established standards of rational evaluation. In paradigmatic self-deception, target-beliefs are made tenable via reorganizations of those belief-sets that relate (...)
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  • The causal capacities of linguistic rules.Alice ter Meulen - 1990 - Behavioral and Brain Sciences 13 (4):626-627.
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  • Emotion and Desire in Self-Deception.Alfred R. Mele - 2003 - Royal Institute of Philosophy Supplement 52:163-179.
    According to a traditional view of self-deception, the phenomenon is an intrapersonal analogue of stereotypical interpersonal deception. In the latter case, deceiversintentionallydeceive others into believing something,p, and there is a time at which the deceivers believe thatpis false while their victims falsely believe thatpis true. If self-deception is properly understood on this model, self-deceivers intentionally deceive themselves into believing something,p, and there is a time at which they believe thatpis false while also believing thatpis true.
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  • Reporting on Past Psychological States: Beliefs, Desires, and Intentions.Alfred Mele - 1993 - Behavioral and Brain Sciences 16 (1):61.
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  • Conservatism revisited: Base rates, prior probabilities, and averaging strategies.Nancy Paule Melone & Timothy W. McGuire - 1996 - Behavioral and Brain Sciences 19 (1):36-37.
    Consistent with Koehler's position, we propose a generalization of the base rate fallacy and earlier conservatism literatures. In studies using both traditional tasks and new tasks based on ecologically valid base rates, our subjects typically underweight individuating information at least as much as they underweight base rates. The implications of cue consistency for averaging heuristics are discussed.
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  • How are base rates used? Interactive and group effects.Peter J. McLeod & Margo Watt - 1996 - Behavioral and Brain Sciences 19 (1):35-36.
    Koehler is right that base rate information is used, to various degrees, both in laboratory tasks and in everyday life. However, it is not time to turn our backs on laboratory tasks and focus solely on ecologically valid decision making. Tightly controlled experimental data are still needed to understandhowbase rate information is used, and how this varies among groups.
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  • Which reference class is evoked?Craig R. M. McKenzie & Jack B. Soll - 1996 - Behavioral and Brain Sciences 19 (1):34-35.
    Any instance (i.e., event, behavior, trait) belongs to infinitely many reference classes, hence there are infinitely many base rates from which to choose. People clearly do not entertain all possible reference classes, however, so something must be limiting the search space. We suggest some possible mechanisms that determine which reference class is evoked for the purpose of judgment and decision.
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  • The Moral Development of First‐Person Authority.Victoria McGeer - 2008 - European Journal of Philosophy 16 (1):81-108.
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  • Enough of polemics – let's look at data!W. C. McGrew - 1987 - Behavioral and Brain Sciences 10 (1):79-79.
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  • Zombies are people, too.Drew McDermott - 1990 - Behavioral and Brain Sciences 13 (4):617-618.
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  • Optimization and connectionism are two different things.Drew McDermott - 1989 - Behavioral and Brain Sciences 12 (3):483-484.
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  • Computation and consciousness.Drew McDermott - 1990 - Behavioral and Brain Sciences 13 (4):676-678.
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  • First things first: What is a base rate?Clark McCauley - 1996 - Behavioral and Brain Sciences 19 (1):33-34.
    The fallacy beneath the base rate fallacy is that we know what a base rate is. We talk as if base rates and individuating information were two different kinds of information. From a Bayesian perspective, however, the only difference between base rate and individuating information is – which comes first.
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  • Explanation and the Nature of Scientific Knowledge.Kevin McCain - 2015 - Science & Education 24 (7-8):827-854.
    Explaining phenomena is a primary goal of science. Consequently, it is unsurprising that gaining a proper understanding of the nature of explanation is an important goal of science education. In order to properly understand explanation, however, it is not enough to simply consider theories of the nature of explanation. Properly understanding explanation requires grasping the relation between explanation and understanding, as well as how explanations can lead to scientific knowledge. This article examines the nature of explanation, its relation to understanding, (...)
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  • Consequentialism in haste.Roger A. McCain - 1994 - Behavioral and Brain Sciences 17 (1):23-24.
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  • Acceptability, analogy, and the acceptability of analogies.Robert N. McCauley - 1989 - Behavioral and Brain Sciences 12 (3):482-483.
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  • Straining the word “optimal”.James E. Mazur - 1991 - Behavioral and Brain Sciences 14 (2):227-227.
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  • Does cognitive science need “real” intentionality?Robert J. Matthews - 1990 - Behavioral and Brain Sciences 13 (4):616-617.
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  • Book reviews. [REVIEW]Robert J. Matthews - 1992 - Mind 101 (403):576-578.
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  • Psychoanalysis, case histories, and experimental data.Joseph Masling - 1986 - Behavioral and Brain Sciences 9 (2):249-250.
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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 question of causality.Judd Marmor - 1986 - Behavioral and Brain Sciences 9 (2):249-249.
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  • The irrational, the unreasonable, and the wrong.Avishai Margalit & Maya Bar-Hillel - 1981 - Behavioral and Brain Sciences 4 (3):346-349.
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  • Psychological Pragmatism and the Imperative of Aims: A New Approach for business Ethics.Joshua D. Margolis - 1998 - Business Ethics Quarterly 8 (3):409-430.
    Abstract:Psychological forces in play across individual, group, and organizational levels of analysis increase the likelihood that people in business organizations will engage in misconduct. Therefore, it is argued, we must turn our attention from dominant normative and empirical trends in business ethics, which revolve around boundaries and constraints, and instead concentrate on methods for promoting ethical behavior in practice, exploiting psychological forces conducive to ethical conduct. This calls for a better understanding of how organizations and their inhabitants function, and, in (...)
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