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  1. Unphilosophical probability.Sandy L. Zabell - 1981 - Behavioral and Brain Sciences 4 (3):358-359.
  • The Phenomenology of Problem Solving.Jeffrey Yoshimi - 2017 - Grazer Philosophische Studien 94 (3):391-409.
    _ Source: _Volume 94, Issue 3, pp 391 - 409 The author outlines a provisional phenomenology of problem solving. He begins by reviewing the history of problem-solving psychology, focusing on the Gestalt approach, which emphasizes the influence of prior knowledge and the occurrence of sudden insights. He then describes problem solving as a process unfolding in a field of consciousness against a background of unconscious knowledge, which encodes action patterns, schemata, and affordances. A global feeling of wrongness or tension is (...)
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  • Cartesian vs. Newtonian research strategies for cognitive science.Morton E. Winston - 1992 - Behavioral and Brain Sciences 15 (3):463-464.
  • More models just means more difficulty.N. E. Wetherick - 1993 - Behavioral and Brain Sciences 16 (2):367-368.
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  • Cohen on contraposition.N. E. Wetherick - 1981 - Behavioral and Brain Sciences 4 (3):358-358.
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  • Cognition and simulation.N. E. Wetherick - 1992 - Behavioral and Brain Sciences 15 (3):462-463.
  • Thought without Language: Thought without Awareness?L. Weiskrantz - 1997 - Royal Institute of Philosophy Supplement 42:127-150.
    Some philosophers have laid down rather severe strictures on whether there can be thought without language. Wittgenstein asserted that ‘the limits of language…mean the limits of my world’. Davidson has argued that ‘a creature cannot have thoughts unless it is an interpreter of the speech of another’. Dummett has interpreted some pronouncements as meaning that ‘the study of thought is to be sharply distinguished from the study of the psychological processes of thinking and…the only proper method of analysing thought consists (...)
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  • Toward an integrated theory of insight in problem solving.Robert W. Weisberg - 2015 - Thinking and Reasoning 21 (1):5-39.
    The study of insight in problem solving and creative thinking has seen an upsurge of interest in the last 30 years. Current theorising concerning insight has taken one of two tacks. The special-process view, which grew out of the Gestalt psychologists’ theorising about insight, proposes that insight is the result of a dedicated set of processes that is activated by the individual's reaching impasse while trying to deal with a problematic situation. In contrast, the business-as-usual view argues that insight is (...)
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  • Competence, performance, and ignorance.Robert W. Weisberg - 1981 - Behavioral and Brain Sciences 4 (3):356-358.
  • The importance of cognitive illusions.Peter Wason - 1981 - Behavioral and Brain Sciences 4 (3):356-356.
  • Independent forebrain and brainstem controls for arousal and sleep.Jaime R. Villablanca - 1981 - Behavioral and Brain Sciences 4 (3):494-496.
  • On putting the cart before the horse: Taking perception seriously in unified theories of cognition.Kim J. Vicente & Alex Kirlik - 1992 - Behavioral and Brain Sciences 15 (3):461-462.
  • A cognitive process shell.Steven A. Vere - 1992 - Behavioral and Brain Sciences 15 (3):460-461.
  • On models and mechanisms.William R. Uttal - 1992 - Behavioral and Brain Sciences 15 (3):459-460.
  • Scientific thinking and mental models.Ryan D. Tweney - 1993 - Behavioral and Brain Sciences 16 (2):366-367.
  • L. J. Cohen, again: On the evaluation of inductive intuitions.Amos Tversky - 1981 - Behavioral and Brain Sciences 4 (3):354-356.
  • Unified theories and theories that mimic each other's predictions.James T. Townsend - 1992 - Behavioral and Brain Sciences 15 (3):458-459.
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  • Learning is critical, not implementation versus algorithm.James T. Townsend - 1987 - Behavioral and Brain Sciences 10 (3):497-497.
  • Connectionist models are also algorithmic.David S. Touretzky - 1987 - Behavioral and Brain Sciences 10 (3):496-497.
  • The consequences of taking consequentialism seriously.Philip E. Tetlock - 1994 - Behavioral and Brain Sciences 17 (1):31-32.
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  • Situation theory and mental models.Alice G. B. ter Meulen - 1993 - Behavioral and Brain Sciences 16 (2):358-359.
  • Actions, inactions and the temporal dimension.Karl Halvor Teigen - 1994 - Behavioral and Brain Sciences 17 (1):30-31.
  • What is the algorithmic level?M. M. Taylor & R. A. Pigeau - 1987 - Behavioral and Brain Sciences 10 (3):495-496.
  • Problem spaces, language and connectionism: Issues for cognition.Patrick Suppes - 1992 - Behavioral and Brain Sciences 15 (3):457-458.
  • Vortexes of involvement: Social systems as turbulent flow.Erika Summers-Effler - 2007 - Philosophy of the Social Sciences 37 (4):433-448.
    How does social organization persist? How does social organization transform? This article proposes that social scientists can begin to answer these questions by considering social organization as the intermittent construction and decay of patterned action, and social actors as centers of organization with the capacity to exert force within some social scene. From this perspective, contexts that shape the dynamics of both actors and scenes could be imagined as turbulent flows that push and pull action into temporary patterns. By viewing (...)
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  • Inferential competence: right you are, if you think you are.Stephen P. Stich - 1981 - Behavioral and Brain Sciences 4 (3):353-354.
  • Some questions regarding the rationality of a demonstration of human rationality.Robert J. Sternberg - 1981 - Behavioral and Brain Sciences 4 (3):352-353.
  • Nonsentential representation and nonformality.Keith Stenning & Jon Oberlander - 1993 - Behavioral and Brain Sciences 16 (2):365-366.
  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
  • Applying Marr to memory.Keith Stenning - 1987 - Behavioral and Brain Sciences 10 (3):494-495.
  • Interactive instructional systems and models of human problem solving.Edward P. Stabler - 1987 - Behavioral and Brain Sciences 10 (3):493-494.
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  • What goals are to count?Mark D. Spranca - 1994 - Behavioral and Brain Sciences 17 (1):29-30.
  • Connectionism and implementation.Paul Smolensky - 1987 - Behavioral and Brain Sciences 10 (3):492-493.
  • Rationality is a necessary presupposition in psychology.Jan Smedslund - 1981 - Behavioral and Brain Sciences 4 (3):352-352.
  • Conditional probability, taxicabs, and martingales.Brian Skyrms - 1981 - Behavioral and Brain Sciences 4 (3):351-352.
  • Choosing a unifying theory for cognitive development.Thomas R. Shultz - 1992 - Behavioral and Brain Sciences 15 (3):456-457.
  • Levels of research.Colleen Seifert & Donald A. Norman - 1987 - Behavioral and Brain Sciences 10 (3):490-492.
  • Thoughts beyond words: When language overshadows insight.Jonathan W. Schooler, Stellan Ohlsson & Kevin Brooks - 1993 - Journal of Experimental Psychology: General 122 (2):166.
  • Goals, values and benefits.Frederic Schick - 1994 - Behavioral and Brain Sciences 17 (1):29-29.
  • Does the evolutionary perspective offer more than constraints?Wolfgang Schleidt - 1992 - Behavioral and Brain Sciences 15 (3):456-456.
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  • Unjustified presuppositions of competence.Leah Savion - 1993 - Behavioral and Brain Sciences 16 (2):364-365.
  • Human rationality: Misleading linguistic analogies.Geoffrey Sampson - 1981 - Behavioral and Brain Sciences 4 (3):350-351.
  • Weak versus strong claims about the algorithmic level.Paul S. Rosenbloom - 1987 - Behavioral and Brain Sciences 10 (3):490-490.
  • Can goals be uniquely defined?Ilana Ritov - 1994 - Behavioral and Brain Sciences 17 (1):28-29.
  • Effects of Prompting in Reflective Learning Tools: Findings from Experimental Field, Lab, and Online Studies.Bettina Renner, Michael Prilla, Ulrike Cress & Joachim Kimmerle - 2016 - Frontiers in Psychology 7.
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  • Einstein as a Disciple of Galileo A Comparative Study of Concept Development in Physics.Jürgen Renn - 1993 - Science in Context 6 (1):311-341.
    The ArgumentIn this paper I present and argue for a model of conceptual development in science and apply it to the transition from classical to modern physics associated with Einstein. The model claims a continuous and rational transition between incompatible subsequent conceptual systems in mathematical science and explains its mechanism. The model was developed in a study of the transition from preclassical to classical mechanics. I argue for a strong structural analogy between the transition from preclassical to classical mechanics on (...)
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  • How human is SOAR?Roger W. Remington, Michael G. Shafto & Colleen M. Seifert - 1992 - Behavioral and Brain Sciences 15 (3):455-455.
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  • Is there more than one type of mental algorithm?Ronan G. Reilly - 1987 - Behavioral and Brain Sciences 10 (3):489-490.
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  • Ways and means.Adam V. Reed - 1987 - Behavioral and Brain Sciences 10 (3):488-489.
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  • Broadening the base for bringing cognitive psychology to bear on ethics.Peter Railton - 1994 - Behavioral and Brain Sciences 17 (1):27-28.