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  1. Learning from learned networks.M. Pavel - 1990 - Behavioral and Brain Sciences 13 (3):503-504.
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  • Mis-representations.J. Bruce Overmier - 1989 - Behavioral and Brain Sciences 12 (1):156-157.
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  • Do We Need the Environment to Explain Operant Behavior?Geir Overskeid - 2018 - Frontiers in Psychology 9.
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  • Addiction is not as puzzling as it seems.Jim Orford - 1996 - Behavioral and Brain Sciences 19 (4):591-592.
    Heyman's target article seeks to resolve the apparent paradox surrounding the issue of control in relation to addictive behaviour. The present commentary argues that addiction is in fact less paradoxical and more easily understandable than Heyman supposes. A fully satisfactory model of addiction, however, requires a more multifaceted approach than that provided by the type of behavioural choice theory favoured by Heyman.
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  • Elme és evolúció.Bence Nanay - 2000 - Kávé..
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  • Stimulus factors in addiction.John A. Nevin - 1996 - Behavioral and Brain Sciences 19 (4):590-591.
    Heyman's analysis of addiction in terms of matching to local relative value can be supplemented by stimulus-control processes. Stimulus equivalence can broaden the set of situations that occasion addictive behavior, and the situation-reinforcer correlation can enhance its persistence. The joint effects of stimulus-control and reinforcement processes may complicate treatment.
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  • Keeping representations at bay.Stanley Munsat - 1990 - Behavioral and Brain Sciences 13 (3):502-503.
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  • The function of phenomenal states: Supramodular interaction theory.Ezequiel Morsella - 2005 - Psychological Review 112 (4):1000-1021.
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  • Evolution and impulsiveness.Jay Moore - 1988 - Behavioral and Brain Sciences 11 (4):691-691.
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  • Cerebro-cerebellar learning loops and language skills.John W. Moore - 1989 - Behavioral and Brain Sciences 12 (1):156-156.
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  • Maximization should sometimes lead to abstinence.Suzanne H. Mitchell & William M. Baum - 1996 - Behavioral and Brain Sciences 19 (4):589-590.
    Heyman's model, paradoxically, predicts that whereas a maximizing approach to drug choice will prevent escalation of drug use it will never yield complete abstinence. We suggest an alternative model that overcomes this difficulty by focusing on changes in drug tolerance. A small modification allows maximization to predict either abstinence or moderation (e.g., social drinking).
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  • Classical conditioning: The new hyperbole.Ralph R. Miller - 1989 - Behavioral and Brain Sciences 12 (1):155-156.
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  • The neurochemistry of defensive behavior and fear.Klaus A. Miczek - 1980 - Behavioral and Brain Sciences 3 (2):313-314.
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  • Pour une histoire de la psychologie.Paul Mengal - 1988 - Revue de Synthèse 109 (3-4):485-497.
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  • Pain theory: exceptions to the rule.Ronald Melzack - 1980 - Behavioral and Brain Sciences 3 (2):313-313.
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  • Relationship between melioration and the controlling variables.Richard A. Meisch & Ralph Spiga - 1996 - Behavioral and Brain Sciences 19 (4):588-589.
    Knowledge of specific instances of melioration does not imply knowledge of the variables controlling behavior. Drug self-administration has been successfully analyzed in terms of standard variables such as the immediacy and magnitude of the drug reinforcer. An appeal to melioration may not be necessary.
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  • Positive reinforcement, the matching law and morality.William A. McKim - 1996 - Behavioral and Brain Sciences 19 (4):587-588.
    Addictive behavior has never seemed rational because it persists in spite of drastic aversive consequences. This is a particular problem for models of addiction such as operant psychology which hold that behavior is controlled by its consequences. Inspite of claims to the contrary, Heymans target article illustrates how operant psychology resolves this contradiction. By using the matching law, Heyman suggests a mechanism that explains why delayed aversive events may not control behavior, and a conceptual framework in which we can understand (...)
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  • Barbara Thayer‐Bacon on Knowers and the Known.Jim McKenzie - 2002 - Educational Philosophy and Theory 34 (3):301-319.
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  • Who is at risk for addiction?Dennis McFarland - 1996 - Behavioral and Brain Sciences 19 (4):587-587.
    Numerous individual differences determine the effectiveness of the multiple external reinforcement contingencies that control drug seeking behavior. Differences in the capacity to frame reinforcement and also the toxic effects of drugs modulate susceptibility to addiction. As a result, not all individuals are at the same degree of risk for addiction.
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  • Understanding addiction: Conventional rewards and lack of control.Clark McCauley - 1996 - Behavioral and Brain Sciences 19 (4):585-586.
    The conflict between drug and conventional rewards leads to a paradox: Sanctions against drug use decrease access to conventional rewards and push drug users toward drug abuse, whereas increased access to the rewards of family, friends, and work may help reduce drug abuse. Lack of control is not specific to drug addiction and is unlikely to yield to a shift in bookkeeping.
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  • On the functions relating delay, reinforcer value, and behavior.James E. Mazur & R. J. Herrnstein - 1988 - Behavioral and Brain Sciences 11 (4):690-691.
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  • Toward a unification of conditioning and cognition in animal learning.William S. Maki - 1990 - Behavioral and Brain Sciences 13 (3):501-502.
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  • Is melioration the addiction theory of choice?Robert J. MacCoun - 1996 - Behavioral and Brain Sciences 19 (4):586-587.
    Heyman makes a convincing case that a melioration choice strategy is sufficient to produce addictive behavior. But given a plethora of addiction theories, the question is whether melioration theory is superior to rivals more sophisticated than a simple disease model or operant conditioning account. Heyman offers little direct evidence that melioration actually causes the addictions we observe.
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  • Contiguity, contingency, adaptiveness, and controls.Glenda MacQueen, James MacRae & Shepard Siegel - 1989 - Behavioral and Brain Sciences 12 (1):154-155.
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  • On the origins of selves and self-control.C. Fergus Lowe & Pauline J. Home - 1988 - Behavioral and Brain Sciences 11 (4):689-690.
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  • Working toward the big reinforcer: Integration.A. W. Logue - 1988 - Behavioral and Brain Sciences 11 (4):697-709.
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  • Research on self-control: An integrating framework.A. W. Logue - 1988 - Behavioral and Brain Sciences 11 (4):665-679.
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  • Self-control and impulsiveness: Resolution of apparent contradictions in choice behavior.A. W. Logue - 1996 - Behavioral and Brain Sciences 19 (4):584-585.
    Choosing the smaller, less delayed reinforcers of drug abuse (including cessation of withdrawal) over the larger, more delayed reinforcers of a healthy life can be described as impulsiveness (the opposite of self-control). Examination of drug abuse using a self-control/impulsiveness framework can help explain many of the puzzles about this behavior, while tying drug abuse into a large research database.
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  • The dark side of hegemony.Charles Locurto - 1989 - Behavioral and Brain Sciences 12 (1):153-154.
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  • Extending the “new hegemony” of classical conditioning.Dan Lloyd - 1989 - Behavioral and Brain Sciences 12 (1):152-153.
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  • Task Conflict and Task Control: A Mini-Review.Ran Littman, Eldad Keha & Eyal Kalanthroff - 2019 - Frontiers in Psychology 10.
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  • On learnability, empirical foundations, and naturalness.W. J. M. Levelt - 1990 - Behavioral and Brain Sciences 13 (3):501-501.
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  • Money as tool, money as drug: The biological psychology of a strong incentive.Stephen E. G. Lea & Paul Webley - 2006 - Behavioral and Brain Sciences 29 (2):161-209.
    Why are people interested in money? Specifically, what could be the biological basis for the extraordinary incentive and reinforcing power of money, which seems to be unique to the human species? We identify two ways in which a commodity which is of no biological significance in itself can become a strong motivator. The first is if it is used as a tool, and by a metaphorical extension this is often applied to money: it is used instrumentally, in order to obtain (...)
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  • O que é Behaviorismo sobre a mente?Filipe Lazzeri - 2019 - Principia: An International Journal of Epistemology 23 (2):249-277.
    It is common to find depictions of behaviorist approaches to the mind as approaches according to which mental events are “dispositions for behavior.” Moreover, it is sometimes said that for these approaches the dispositions are for publicly observable behaviors, or even “purely physical movements,” thereby excluding from being constitutive of mental events any internal bodily happening, besides any movement not taken as “purely physical.” In this paper I aim to pinpoint problems in such widespread depictions of behaviorism about the mind, (...)
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  • On some common objections to a behavioral approach to psychological categories.Filipe Lazzeri - 2016 - Philosophical Psychology 29 (3):405-418.
    This paper addresses several objections that have been leveled against a behavioral approach to psychological categories. It reconstructs and critically assesses the so-called causal objection; alleged counterexamples whereby one can exhibit the typical behaviors associated with a psychological phenomenon without exhibiting the latter, including Lewis’ “perfect actor” case and Kirk’s “zombie”; alleged counterexamples whereby organisms can exemplify psychological phenomena without exhibiting any behavior associated with them, including Armstrong’s imagined brain in a vat, Putnam’s “super-super-spartans” scenario, and related cases; and the (...)
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  • Approaches to learning and representation.Pat Langley - 1990 - Behavioral and Brain Sciences 13 (3):500-501.
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  • What can psychologists learn from hidden-unit nets?K. Lamberts & G. D'Ydewalle - 1990 - Behavioral and Brain Sciences 13 (3):499-500.
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  • An economic perspective on addiction and matching.David I. Laibson - 1996 - Behavioral and Brain Sciences 19 (4):583-584.
    Economic models of addiction are choice-based. These models push the choice paradigm too far by modeling addiction as rational, normative behavior. Heyman's target article provides a sensible alternative to this economic approach by emphasizing that addiction is characterized by ambivalence and a perceived loss of self control. However, matching may not be a satisfactory platform on which to build this alternative model. Matching experiments do not provide evidence of ambivalence or perceived loss of self control.
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  • Memory representations in animals: Some metatheoretical issues.Roy Lachman & Janet L. Lachman - 1982 - Behavioral and Brain Sciences 5 (3):380-381.
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  • Classical conditioning beyond the laboratory.Hugh Lacey - 1989 - Behavioral and Brain Sciences 12 (1):152-152.
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  • Functional characteristics of human self-control.Julius Kuhl - 1988 - Behavioral and Brain Sciences 11 (4):688-688.
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  • How connectionist models learn: The course of learning in connectionist networks.John K. Kruschke - 1990 - Behavioral and Brain Sciences 13 (3):498-499.
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  • Error management for musicians: an interdisciplinary conceptual framework.Silke Kruse-Weber & Richard Parncutt - 2014 - Frontiers in Psychology 5.
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  • Pavlovian conditioning: Providing a bridge between cognition and biology.Marvin D. Krank - 1989 - Behavioral and Brain Sciences 12 (1):151-151.
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  • Beyond respondent conditioning.Sibylle Klosterhalfen & Wolfgang Klosterhalfen - 1989 - Behavioral and Brain Sciences 12 (1):149-150.
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  • A promising new strategy for studying conditioned Immunomodulation.Wolfgang Klosterhalfen - 1989 - Behavioral and Brain Sciences 12 (1):150-150.
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  • Future directions for the melioration model of addiction.Kris N. Kirby - 1996 - Behavioral and Brain Sciences 19 (4):583-583.
    For use in applied settings, the melioration model will need to incorporate changes in the shapes of local value functions over time, treat current value as a continuous function of time since previous choices, and take into account discounting of the effects of current behavior on future value. The policy implications of the model for regulating drugs are limited.
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  • The importance of classical conditioning.H. D. Kimmel - 1989 - Behavioral and Brain Sciences 12 (1):148-149.
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  • Complexity at the organismic and neuronal levels.R. W. Kentridge - 1989 - Behavioral and Brain Sciences 12 (1):147-148.
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