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  1. (1 other version)From fringe to mainstream: the Garcia effect.Laura Gradowski - forthcoming - Studies in History and Philosophy of Science.
    The rejection of research results is sometimes thought to be justified in cases of individuals embracing fringe ideas that depart significantly from prevailing orthodoxy, or in cases of individuals who lack appropriate expertise or credentials. The case of John Garcia exhibits both of these dimensions, and illustrates that such rejection can delay scientific advancements. Garcia’s work decisively challenged what was the orthodoxy in psychology in the midcentury: behaviorism. Behaviorist learning theorists suffered from theory-entrenchment insofar as they failed to acknowledge Garcia’s (...)
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  • Modularity and the Politics of Emotion Categorisation.Raamy Majeed - 2022 - A Tribute to Ronald de Sousa.
    Empirically-informed approaches to emotion often construe our emotions as modules: systems hardwired into our brains by evolution and purpose-built to generate certain coordinated patterns of expressive, physiological, behavioural and phenomenological responses. In ‘Against Modularity’ (2008), de Sousa argues that we shouldn’t think of our emotions in terms of a limited number of modules because this conflicts with our aspirations for a life of greater emotional richness. My aim in this paper is to defend de Sousa’s critique of modular emotion taxonomies (...)
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  • Sullying Sights.Ryan P. Doran - 2022 - Philosophical Psychology 35 (2):177-204.
    In this article, an account of the architecture of the cognitive contamination system is offered, according to which the contamination system can generate contamination represen- tations in circumstances that do not satisfy the norms of contamination, including in cases of mere visual contact with disgusting objects. It is argued that this architecture is important for explaining the content, logic, distribution, and persistence of maternal impression beliefs – according to which fetal defects are caused by the pregnant mother’s experiences and actions (...)
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  • Perceptual Pluralism.Jake Quilty-Dunn - 2019 - Noûs 54 (4):807-838.
    Perceptual systems respond to proximal stimuli by forming mental representations of distal stimuli. A central goal for the philosophy of perception is to characterize the representations delivered by perceptual systems. It may be that all perceptual representations are in some way proprietarily perceptual and differ from the representational format of thought (Dretske 1981; Carey 2009; Burge 2010; Block ms.). Or it may instead be that perception and cognition always trade in the same code (Prinz 2002; Pylyshyn 2003). This paper rejects (...)
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  • Fears, phobias and preparedness: Toward an evolved module of fear and fear learning.Arne Öhman & Susan Mineka - 2001 - Psychological Review 108 (3):483-522.
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  • The evolution of multiple memory systems.David F. Sherry & Daniel L. Schacter - 1987 - Psychological Review 94 (4):439-454.
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  • The rich detail of cultural symbol systems.Dwight W. Read - 2014 - Behavioral and Brain Sciences 37 (4):434-435.
    The goal of forming a science of intentional behavior requires a more richly detailed account of symbolic systems than is assumed by the authors. Cultural systems are not simply the equivalent in the ideational domain of culture of the purported Baldwin Effect in the genetic domain. © 2014 Cambridge University Press.
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  • A comparison of the keypeck and treadle-press operants in the pigeon: Fixed-interval schedule of reinforcement.W. Kirk Richardson & Nancy Rainwater - 1979 - Bulletin of the Psychonomic Society 14 (5):333-336.
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  • The conditioning model of neurosis.H. J. Eysenck - 1979 - Behavioral and Brain Sciences 2 (2):155-166.
    The long-term persistence of neurotic symptoms, such as anxiety, poses difficult problems for any psychological theory. An attempt is made to revive the Watson-Mowrer conditioning theory and to avoid the many criticisms directed against it in the past. It is suggested that recent research has produced changes in learning theory that can be used to render this possible. In the first place, the doctrine of equipotentiality has been shown to be wrong, and some such concept as Seligman's “preparedness” is required, (...)
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  • Human rationality: Misleading linguistic analogies.Geoffrey Sampson - 1981 - Behavioral and Brain Sciences 4 (3):350-351.
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  • The motivation and/or reinforcement of avoidance behavior.Robert C. Bolles - 1982 - Behavioral and Brain Sciences 5 (4):677-678.
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  • Where are the limits to operant psycholgy?R. L. Reid - 1988 - Behavioral and Brain Sciences 11 (3):463.
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  • Yoked control designs for assessment of contingency.Russell M. Church - 1988 - Behavioral and Brain Sciences 11 (3):451.
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  • The yoked control design is not the only test for reinforcement.James A. Dinsmoor - 1988 - Behavioral and Brain Sciences 11 (3):453.
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  • Reinforcement schedules and “numerical competence”.John A. Nevin - 1988 - Behavioral and Brain Sciences 11 (4):594-595.
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  • Kanting processes in the chimpanzee: What really counts?Sarah T. Boysen - 1988 - Behavioral and Brain Sciences 11 (4):580-580.
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  • Is evolution of behavior operant conditioning writ large?Anatol Rapoport - 1984 - Behavioral and Brain Sciences 7 (4):696-696.
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  • Expectancy bias and phobias: Accounting for the uneven distribution of fears and the characteristics of clinical phobias.Graham C. L. Davey - 1995 - Behavioral and Brain Sciences 18 (2):315-325.
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  • Nonlinear experiential influences on the development of fear reactions.David B. Miller - 1995 - Behavioral and Brain Sciences 18 (2):306-307.
    Failure to find an obvious or linear relationship between a developmental experiential factor and a developmental outcome often leads investigators to posit concepts such as “biological preparedness” and “evolved predispositions” that allude to hypothetical geneticmechanisms that may not exist. However, experiential nonlinearities alone may explain the development of certain instinctive behaviors, as shown by studies on alarm call responsivity in mallard ducklings.
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  • How general is a general theory of reinforcement?Stephen F. Walker - 1994 - Behavioral and Brain Sciences 17 (1):154-155.
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  • Fallacy and controversy about base rates.Isaac Levi - 1996 - Behavioral and Brain Sciences 19 (1):31-32.
    Koehler's target article attempts a balanced view of the relevance of knowledge of base rates to judgments of subjective or credal probability, but he is not sensitive enough to the difference between requiring and permitting the equation of probability judgments with base rates, the interaction between precision of base rate and reference class information, and the possibility of indeterminate probability judgment.
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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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  • 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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  • Throwing out the baby with the bathwater? Let's not overstate the overselling of the base rate fallacy.Cynthia J. Thomsen & Eugene Borgida - 1996 - Behavioral and Brain Sciences 19 (1):39-40.
    Koehler's summary and critique of research on the base rate fallacy is cogent and persuasive. However, he may have overstated the case, and his suggestions for future research may be too restrictive. We agree that methodological approaches to this topic should be broadened, but we argue that experimental laboratory research and the Bayesian normative standard are useful and should not be abandoned.
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  • Base rates do not constrain nonprobability judgments.Paul D. Windschitl & Gary L. Wells - 1996 - Behavioral and Brain Sciences 19 (1):40-41.
    Base rates have no necessary relation to judgments that are not themselves probabilities. There is no logical imperative, for instance, that behavioral base rates must affect causal attributions or that base rate information should affect judgments of legal liability. Decision theorists should be cautious in arguing that base rates place normative constraints on judgments of anything other than posterior probabilities.
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  • The purpose of experiments: Ecological validity versus comparing hypotheses.Robyn M. Dawes - 1996 - Behavioral and Brain Sciences 19 (1):20-20.
    As illustrated by research Koehler himself cites (Dawes et al. 1993), the purpose of experiments is to choose between contrasting explanations of past observations – rather than to seek statistical generalizations about the prevalence of effects. True external validity results not from sampling various problems that are representative of “real world” decision making, but from reproducing an effect in the laboratory with minimal contamination (including from real world factors).
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  • Automatically elicited fear: Conditioned skin conductance responses to masked facial expressions.Francisco Esteves, Ulf Dimberg & Arne öhman - 1994 - Cognition and Emotion 8 (5):393-413.
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  • Diathesis stress model or “Just So” story?Richard M. McFall, James T. Townsend & Richard J. Viken - 1995 - Behavioral and Brain Sciences 18 (3):565-566.
    Mealey's sociopathy model is an exemplar of popular diathesis-stress models. Although such models, when presented in descriptive language, offer the illusion of integrative explanation, their actual scientific value is very limited because they fail to make specific, quantitative, falsifiable predictions. Conceptual and quantitative weaknesses of such diathesis-stress models are discussed and the requirements for useful models are outlined.
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  • Group differences ≢ individual differences.C. S. Bergeman & A. D. Seroczynski - 1995 - Behavioral and Brain Sciences 18 (3):546-548.
    Mealey's etiological distinction between primary and secondary sociopathy blurs the delineation between individual and group differences. She uses physiological evidence to support her claim of genetic influences, neglecting variability within social classes, frequency of delinquent behavior in upper and middle classes (measured by self-report), and discontinuity of criminal behavior across the life span. Finally, Mealey's proposals for differential intervention fall short of a future agenda, which should tailor to individual needs, not social classes.
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  • “Genetics” and DNA polymorphisms.Robert Plomin - 1995 - Behavioral and Brain Sciences 18 (3):570-570.
    Four questions are raised about Mealey's genetic argument: (1) Where is the evidence that secondary sociopathy is less heritable than primary sociopathy? (2) What is the genetic correlation between the two types of sociopathy? (3) How does genotype-environment interaction relate? (4) How strong are the links between our evolutionary past and current heritability?
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  • On defining rationality unreasonably.J. St B. T. Evans & P. Pollard - 1981 - Behavioral and Brain Sciences 4 (3):335-336.
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  • Performing competently.Lola L. Lopes - 1981 - Behavioral and Brain Sciences 4 (3):343-344.
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  • The sociobiology of sociopathy: An integrated evolutionary model.Linda Mealey - 1995 - Behavioral and Brain Sciences 18:523-541.
    Sociopaths are “outstanding” members of society in two senses: politically, they draw our attention because of the inordinate amount of crime they commit, and psychologically, they hold our fascination because most ofus cannot fathom the cold, detached way they repeatedly harm and manipulate others. Proximate explanations from behavior genetics, child development, personality theory, learning theory, and social psychology describe a complex interaction of genetic and physiological risk factors with demographic and micro environmental variables that predispose a portion of the population (...)
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  • Revisiting “The Malicious Serpent”: Phylogenetically Threatening Stimulus Marked in the Human Brain.Luiz Biondi, Nuno Gomes, Rafael S. Maior & Sandra C. Soares - forthcoming - Emotion Review.
    Twenty years ago, Öhman and Mineka's publication “The Malicious Serpent” emphasized the selective pressure ancestral reptiles would have on early mammals’ visual system, specifically the development of a set of subcortical structures that would provide snake-like images privileged access to the amygdala. This process would occur automatically and allows for quick defensive reactions. Based on criticisms directed to the snake detection research, we created five questions that guided the discussion in this review. Evidence suggests the existence of a set of (...)
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  • Associationist Theories of Thought.Eric Mandelbaum - 2015 - Stanford Encyclopedia of Philosophy.
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  • Taste aversion proneness: A modulator of conditioned consummatory aversions in rats.Ralph L. Elkins & Stephen H. Hobbs - 1982 - Bulletin of the Psychonomic Society 20 (5):257-260.
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  • Toward an unpdated model of neurosis.J. M. Notterman - 1979 - Behavioral and Brain Sciences 2 (2):178-179.
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  • Incubation and the relevance of functional CS exposure.T. D. Borkovec - 1979 - Behavioral and Brain Sciences 2 (2):168-168.
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  • The Gantt and Eysenck conditioning models for neurosis.Roscoe A. Dykman - 1979 - Behavioral and Brain Sciences 2 (2):168-169.
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  • Learning theory: Behavioral artifacts or general principles?John A. Nevin - 1981 - Behavioral and Brain Sciences 4 (1):152-153.
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  • Cohen on contraposition.N. E. Wetherick - 1981 - Behavioral and Brain Sciences 4 (3):358-358.
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  • Independent forebrain and brainstem controls for arousal and sleep.Jaime R. Villablanca - 1981 - Behavioral and Brain Sciences 4 (3):494-496.
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  • Guthrie revisited: For better and worse.Edmund Fantino - 1988 - Behavioral and Brain Sciences 11 (3):455.
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  • Selection by consequences is a good idea.William M. Baum - 1988 - Behavioral and Brain Sciences 11 (3):447.
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  • Language and counting in animals: Stimulus classes and equivalence relations.Ronald J. Schusterman - 1988 - Behavioral and Brain Sciences 11 (4):596-597.
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  • Skinner's blind eye.H. J. Eysenck - 1984 - Behavioral and Brain Sciences 7 (4):686-687.
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  • Ethology ignored Skinner to its detriment.Jack P. Hailman - 1984 - Behavioral and Brain Sciences 7 (4):689-690.
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  • The phylogeny and ontogeny of behavior.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):669-677.
    Responses are strengthened by consequences having to do with the survival of individuals and species. With respect to the provenance of behavior, we know more about ontogenic than phylogenic contingencies. The contingencies responsible for unlearned behavior acted long ago. This remoteness affects our scientific methods, both experimental and conceptual. Until we have identified he variables responsible for an event, we tend to invent causes. Explanatory entities such as “instincts,” “drives,” and “traits” still survive. Unable to show how organisms can behave (...)
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  • Preparedness and phobias: Specific evolved associations or a generalized expectancy bias?Graham C. L. Davey - 1995 - Behavioral and Brain Sciences 18 (2):289-297.
    Most phobias are focussed on a small number of fear-inducing stimuli (e.g., snakes, spiders). A review of the evidence supporting biological and cognitive explanations of this uneven distribution of phobias suggests that the readiness with which such stimuli become associated with aversive outcomes arises from biases in the processing of information about threatening stimuli rather than from phylogenetically based associative predispositions or “biological preparedness.” This cognitive bias, consisting of a heightened expectation of aversive outcomes following fear-relevant stimuli, generates and maintains (...)
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  • Judgment under uncertainty: Evolution may not favor a probabilistic calculus.Lev R. Ginzburg, Charles Janson & Scott Ferson - 1996 - Behavioral and Brain Sciences 19 (1):24-25.
    The environment in which humans evolved is strongly and positively autocorrelated in space and time. Probabilistic judgments based on the assumption of independence may not yield evolutionarily adaptive behavior. A number of “faults” of human reasoning are not faulty under fuzzy arithmetic, a nonprobabilistic calculus of reasoning under uncertainty that may be closer to that underlying human decision making.
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