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  1. Toward a general psychobiological theory of emotions.Jaak Panksepp - 1982 - Behavioral and Brain Sciences 5 (3):407-422.
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  • The quest for optimality: A positive heuristic of science?Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):205-215.
    This paper examines the strengths and weaknesses of one of science's most pervasive and flexible metaprinciples;optimalityis used to explain utility maximization in economics, least effort principles in physics, entropy in chemistry, and survival of the fittest in biology. Fermat's principle of least time involves both teleological and causal considerations, two distinct modes of explanation resting on poorly understood psychological primitives. The rationality heuristic in economics provides an example from social science of the potential biases arising from the extreme flexibility of (...)
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  • The phenomenology of controlling a moving object with another person.John A. Dewey, Elisabeth Pacherie & Guenther Knoblich - 2014 - Cognition 132 (3):383-397.
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  • Cost-benefits of computer modelling.Jaak Panksepp - 1979 - Behavioral and Brain Sciences 2 (1):114-114.
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  • A two-tiered theory of emotions: Affect and feeling.Julian Jaynes - 1982 - Behavioral and Brain Sciences 5 (3):434-435.
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  • On the classification of the emotions.Jeffrey A. Gray - 1982 - Behavioral and Brain Sciences 5 (3):431-432.
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  • Taking credit for success: The phenomenology of control in a goal-directed task.John A. Dewey, Adriane E. Seiffert & Thomas H. Carr - 2010 - Consciousness and Cognition 19 (1):48-62.
    We studied how people determine when they are in control of objects. In a computer task, participants moved a virtual boat towards a goal using a joystick to investigate how subjective control is shaped by (1) correspondence between motor actions and the visual consequences of those actions, and (2) attainment of higher-level goals. In Experiment 1, random discrepancies from joystick input (noise) decreased judgments of control (JoCs), but discrepancies that brought the boat closer to the goal and increased success (the (...)
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  • Archaeology of mind.Jaak Panksepp - 1982 - Behavioral and Brain Sciences 5 (3):449-467.
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  • Causal dispositions + sensory experience = intentionality.Karl Pfeifer - 1987 - Behavioral and Brain Sciences 10 (4):757.
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  • The Path Is the Goal: How Transformational Leaders Enhance Followers’ Job Attitudes and Proactive Behavior.Barbara Steinmann, Hannah J. P. Klug & Günter W. Maier - 2018 - Frontiers in Psychology 9.
    While leading through goals is usually associated with a task-oriented leadership style, the present work links goal setting to transformational leadership. A longitudinal field study was conducted to investigate the influence of transformational leadership on followers’ job satisfaction, organizational commitment, and proactive behavior via goal attributes. Findings indicate that transformational leaders influence the extent to which followers evaluate organizational goals as important and perceive them as attainable. Multiple mediation analysis revealed that these goal attributes transmit the effect of transformational leadership (...)
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  • Introduction: when embodied cognition and sport psychology team-up.Massimiliano L. Cappuccio - 2015 - Phenomenology and the Cognitive Sciences 14 (2):213-225.
    I.One of the main undertakings of the embodied approach to cognition is to spell out effectively the intuition that our body shapes what our mind can do . This endeavor is motivated—among other things – by the deep sense of awe that cognitive scientists experience in front of the sophistication, flexibility, and variability that can be reached by the motor abilities of well-trained humans. In particular, excellence in sporting skills inspires embodied cognition by exhibiting tangible evidence that the details of (...)
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  • Control of Perception Should be Operationalized as a Fundamental Property of the Nervous System.Warren Mansell - 2011 - Topics in Cognitive Science 3 (2):257-261.
    This commentary proposes that “cognitive control” is neither componential nor emergent, but a fundamental feature of behavior. The term “control” requires an operational definition. This is best provided by the negative feedback loop that utilizes behavior to control perception; it does not control behavior per se. In order to model complex cognitive control, Perceptual Control Theory proposes that loops are organized into a dissociable hierarchical network (PCT; Powers, Clark, & McFarland, 1960; Powers, 1973a, 2008). In this way, behavior is dynamically (...)
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  • Problems and solutions: an ecological view.Warren Thorngate - 2020 - Mind and Society 19 (1):91-102.
    A problem is a difference between what a person has and wants. A solution is anything that reduces the difference. These two simple definitions form the foundation of an ecological perspective on the often-complex, reciprocal relationships among people, their environments and their behaviours—a perspective that mixes causal ideas from psychology with consequential ideas from economics. The present article offers a brief introduction to this perspective and suggests how it might be instantiated by naturalistic observations and content analyses of narratives.
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  • Cause/effect metaphors versus control theory.William T. Powers - 1979 - Behavioral and Brain Sciences 2 (1):115-115.
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  • Multi-scale control influences sense of agency: Investigating intentional binding using event-control approach.Devpriya Kumar & Narayanan Srinivasan - 2017 - Consciousness and Cognition 49:1-14.
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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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  • The strategy of optimality revisited.Paul J. H. Schoemaker - 1991 - Behavioral and Brain Sciences 14 (2):237-245.
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  • The modelling of incentive motivation processes.Frederick M. Toates - 1980 - Behavioral and Brain Sciences 3 (3):466-468.
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  • Extremum descriptions, process laws and minimality heuristics.Elliott Sober - 1991 - Behavioral and Brain Sciences 14 (2):232-233.
    The examples and concepts that Shoemaker cites are rather heterogeneous. Some distinctions need to be drawn. An optimality thesis involves not just an ordering of options, but a value judgment about them. So let us begin by distinguishing minimality from optimality. And the concept of minimality can play a variety of roles, among which I distinguish between extremum descriptions, statements hypothesizing an optimizing process, and methodological recommendations. Finally, I consider how the three categories relate to Shoemaker’s question that “Who is (...)
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  • Should the quest for optimality worry us?Nils-Eric Sahlin - 1991 - Behavioral and Brain Sciences 14 (2):231-231.
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  • Intentionality is a red herring.Chris Fields & Eric Dietrich - 1987 - Behavioral and Brain Sciences 10 (4):756.
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  • Psychobiology needs cognitive psychology.Adam Morton - 1982 - Behavioral and Brain Sciences 5 (3):441-442.
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  • Multiple paths in the control of drinking.Edward F. Adolph - 1979 - Behavioral and Brain Sciences 2 (1):102-102.
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  • Contiguity, contingency, and causation.R. J. Andrew - 1988 - Behavioral and Brain Sciences 11 (3):447.
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  • Optimality and human memory.John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (2):215-216.
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  • Assessing internal affairs.Hymie Anisman & Robert M. Zacharko - 1982 - Behavioral and Brain Sciences 5 (3):422-423.
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  • Emotions – inferences from hypothetical hypothalamic circuits?Magda B. Arnold - 1982 - Behavioral and Brain Sciences 5 (3):423-423.
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  • Emotions: Hard- or soft-wired?James R. Averill - 1982 - Behavioral and Brain Sciences 5 (3):424-424.
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  • Optimality as an evaluative standard in the study of decision-making.Jonathan Baron - 1991 - Behavioral and Brain Sciences 14 (2):216-216.
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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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  • Learning, reward, and cognitive differences.William Bechtel & Adele Abrahamsen - 1988 - Behavioral and Brain Sciences 11 (3):448.
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  • Roles of taste and learning in water regulation.Robert C. Beck - 1979 - Behavioral and Brain Sciences 2 (1):102-103.
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  • The bathwater and everything.Robert C. Bolles - 1988 - Behavioral and Brain Sciences 11 (3):449.
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  • Toy rats and real rats: nonhomeostatic plasticity in drinking.Robert C. Bolles - 1979 - Behavioral and Brain Sciences 2 (1):103-103.
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  • Is thirst largely an acquired specific appetite?D. A. Booth - 1979 - Behavioral and Brain Sciences 2 (1):103-104.
    [Author's summmary, 2020]. Motivation specifically to drink (ingest watery materials) is widely assumed (still) to be innate, i.e. independent of exposure to fluids in contexts and sensory, somatic and/or social effects of their consumption. This comment floats the idea that human infants learn to differentiate textures of low-energy fluids from semi-solid and solid foods after they begin to be weaned from milk as sole drink and food.
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  • Optimality as a mathematical rhetoric for zeroes.Fred L. Bookstein - 1991 - Behavioral and Brain Sciences 14 (2):216-217.
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  • A case of different intentions concerning intentionality.W. Tom Bourbon - 1987 - Behavioral and Brain Sciences 10 (4):755.
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  • Anticipatory regulation: a raincoat does not feedforward make.W. Tom Bourbon - 1980 - Behavioral and Brain Sciences 3 (3):465-466.
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  • The quest for plausibility: A negative heuristic for science?R. W. Byrne - 1991 - Behavioral and Brain Sciences 14 (2):217-218.
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  • Criteria for optimality.Michel Cabanac - 1991 - Behavioral and Brain Sciences 14 (2):218-218.
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  • Why contingencies won't go away.A. Charles Catania & Eliot Shimoff - 1988 - Behavioral and Brain Sciences 11 (3):450.
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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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  • Specific human emotions are psychobiologic entities: Psychobiologic coherence between emotion and its dynamic expression.Manfred Clynes - 1982 - Behavioral and Brain Sciences 5 (3):424-425.
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  • Some optimality principles in evolution.James F. Crow - 1991 - Behavioral and Brain Sciences 14 (2):218-219.
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  • Natural selection doesn't have goals, but it's the reason organisms do.Martin Daly - 1991 - Behavioral and Brain Sciences 14 (2):219-220.
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  • Broadening the homeostatic concept.John D. Davis - 1979 - Behavioral and Brain Sciences 2 (1):104-105.
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  • Organisms, scientists and optimality.Michael Davison - 1991 - Behavioral and Brain Sciences 14 (2):220-221.
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  • Vaulting optimality.Peter Dayan & Jon Oberlander - 1991 - Behavioral and Brain Sciences 14 (2):221-222.
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  • Animal and human emotionality.José M. R. Delgado - 1982 - Behavioral and Brain Sciences 5 (3):425-427.
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  • Relating experience to the brain.Joseph de Rivera - 1982 - Behavioral and Brain Sciences 5 (3):427-428.
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