Works matching IS 0140525X AND DT 2013 AND VI 36 AND IP 3
Results: 70
BBS volume 36 issue 3 Cover and Back matter.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. b1, doi. 10.1017/S0140525X1300157X
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BBS volume 36 issue 3 Cover and Front matter.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. f1, doi. 10.1017/S0140525X13001568
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- Article
Quantum principles in psychology: The debate, the evidence, and the future.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 310, doi. 10.1017/S0140525X12003226
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If quantum probability = classical probability + bounded cognition; is this good, bad, or unnecessary?
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 304, doi. 10.1017/S0140525X12003172
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Physics envy: Trying to fit a square peg into a round hole.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 306, doi. 10.1017/S0140525X12003160
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Disentangling the order effect from the context effect: Analogies, homologies, and quantum probability.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 293, doi. 10.1017/S0140525X12003159
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Grounding quantum probability in psychological mechanism.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 296, doi. 10.1017/S0140525X12003147
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Why quantum probability does not explain the conjunction fallacy.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 308, doi. 10.1017/S0140525X12003123
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Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 307, doi. 10.1017/S0140525X12003111
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Quantum probability, choice in large worlds, and the statistical structure of reality.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 305, doi. 10.1017/S0140525X1200310X
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What's the predicted outcome? Explanatory and predictive properties of the quantum probability framework.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 303, doi. 10.1017/S0140525X12003093
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Quantum probability, intuition, and human rationality.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 303, doi. 10.1017/S0140525X12003081
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Quantum modeling of common sense.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 302, doi. 10.1017/S0140525X1200307X
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A quantum of truth? Querying the alternative benchmark for human cognition.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 300, doi. 10.1017/S0140525X12003068
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What are the mechanics of quantum cognition?
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 299, doi. 10.1017/S0140525X12003056
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The implicit possibility of dualism in quantum probabilistic cognitive modeling.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 298, doi. 10.1017/S0140525X12003044
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Processes models, environmental analyses, and cognitive architectures: Quo vadis quantum probability theory?
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 297, doi. 10.1017/S0140525X12003032
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Quantum models of cognition as Orwellian newspeak.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 295, doi. 10.1017/S0140525X12003020
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The cognitive economy: The probabilistic turn in psychology and human cognition.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 294, doi. 10.1017/S0140525X12003019
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Limitations of the Dirac formalism as a descriptive framework for cognition.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 292, doi. 10.1017/S0140525X12003007
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Is quantum probability rational?
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 291, doi. 10.1017/S0140525X12002993
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Quantum probability and conceptual combination in conjunctions.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 290, doi. 10.1017/S0140525X12002981
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Quantum mathematical cognition requires quantum brain biology: The “Orch OR” theory.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 287, doi. 10.1017/S0140525X1200297X
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Quantum probability and comparative cognition.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 287, doi. 10.1017/S0140525X12002968
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Cognitive architectures combine formal and heuristic approaches.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 285, doi. 10.1017/S0140525X12002956
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Does quantum uncertainty have a place in everyday applied statistics?
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 285, doi. 10.1017/S0140525X12002944
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Quantum probability and cognitive modeling: Some cautions and a promising direction in modeling physics learning.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 284, doi. 10.1017/S0140525X12002932
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Beyond quantum probability: Another formalism shared by quantum physics and psychology.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 283, doi. 10.1017/S0140525X12002920
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On the quantum principles of cognitive learning.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 281, doi. 10.1017/S0140525X12002919
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Cold and hot cognition: Quantum probability theory and realistic psychological modeling.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 282, doi. 10.1017/S0140525X12002907
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The (virtual) conceptual necessity of quantum probabilities in cognitive psychology.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 280, doi. 10.1017/S0140525X12002890
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Uncertainty about the value of quantum probability for cognitive modeling.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 279, doi. 10.1017/S0140525X12002889
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Can quantum probability help analyze the behavior of functional brain networks?
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 278, doi. 10.1017/S0140525X12002877
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Signal detection theory in Hilbert space.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 277, doi. 10.1017/S0140525X12002865
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At home in the quantum world.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 276, doi. 10.1017/S0140525X12002853
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Quantum structure and human thought.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 274, doi. 10.1017/S0140525X12002841
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Cognition in Hilbert space.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 296, doi. 10.1017/S0140525X1200283X
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Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 233, doi. 10.1017/S0140525X12002440
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What else can brains do?
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 230, doi. 10.1017/S0140525X12002439
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Interactively human: Sharing time, constructing materiality.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 224, doi. 10.1017/S0140525X12002427
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Maximal mutual information, not minimal entropy, for escaping the “Dark Room”.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 220, doi. 10.1017/S0140525X12002415
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Two kinds of theory-laden cognitive processes: Distinguishing intransigence from dogmatism.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 218, doi. 10.1017/S0140525X12002403
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Perception versus action: The computations may be the same but the direction of fit differs.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 228, doi. 10.1017/S0140525X12002397
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Bayesian animals sense ecological constraints to predict fitness and organize individually flexible reproductive decisions.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 215, doi. 10.1017/S0140525X12002385
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Affect and non-uniform characteristics of predictive processing in musical behaviour.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 226, doi. 10.1017/S0140525X12002373
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Backwards is the way forward: Feedback in the cortical hierarchy predicts the expected future.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 221, doi. 10.1017/S0140525X12002361
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Unraveling the mind.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 214, doi. 10.1017/S0140525X1200235X
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The brain is not an isolated “black box,” nor is its goal to become one.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 213, doi. 10.1017/S0140525X12002348
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Whenever next: Hierarchical timing of perception and action.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 217, doi. 10.1017/S0140525X12002336
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Attention is more than prediction precision.
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- Behavioral & Brain Sciences, 2013, v. 36, n. 3, p. 206, doi. 10.1017/S0140525X12002324
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