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  1. The role of deliberate practice in the acquisition of expert performance.K. Anders Ericsson, Ralf T. Krampe & Clemens Tesch-Römer - 1993 - Psychological Review 100 (3):363-406.
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  • Unified cognitive theory: You can't get there from here.Derek Bickerton - 1992 - Behavioral and Brain Sciences 15 (3):437-438.
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  • Is Unified theories of cognition good strategy?Nico H. Frijda & Jan Elshout - 1992 - Behavioral and Brain Sciences 15 (3):445-446.
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  • Problem‐Solving Restructuration: Elimination of Implicit Constraints.Jean-François Richard, Sébastien Poitrenaud & Charles Tijus - 1993 - Cognitive Science 17 (4):497-529.
    A general model of problem‐solving processes based on misconception elimination is presented to simulate both impasses and solving processes. The model operates on goal‐related rules and a set of constraint rules in the form of “if (state or goal), do not (Action)” for the explicit constraints in the instructions and the implicit constraints that come from misconceptions of legal moves. When impasses occur, a constraint elimination mechanism is applied. Because successive eliminations of implicit constraints enlarge the problem space and have (...)
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  • Unified psychobiological theory.Duane Quiatt - 1992 - Behavioral and Brain Sciences 15 (3):454-455.
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  • A cognitive process shell.Steven A. Vere - 1992 - Behavioral and Brain Sciences 15 (3):460-461.
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  • Re-membering cognition.Susan F. Chipman - 1992 - Behavioral and Brain Sciences 15 (3):441-442.
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  • Unified cognitive theory is not comprehensive.P. C. Dodwell - 1992 - Behavioral and Brain Sciences 15 (3):443-445.
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  • Instruction and Practice in Learning to use a Device.Peter A. Bibby & Stephen J. Payne - 1996 - Cognitive Science 20 (4):539-578.
    We explore the extent to which Anderson's (1987) theory of knowledge compilation can account for the relationship between instructions and practice in learning to use a simple device. Bibby and Payne (1993) reported experimental support for knowledge compilation in this domain. This article replicates the finding of a performance cross‐over between instruction type and task type that disappears with practice on the tasks. The research is extended by using verbal protocols to model the strategies of novice and more experienced individuals. (...)
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  • Plateaus, Dips, and Leaps: Where to Look for Inventions and Discoveries During Skilled Performance.Wayne D. Gray & John K. Lindstedt - 2017 - Cognitive Science 41 (7):1838-1870.
    The framework of plateaus, dips, and leaps shines light on periods when individuals may be inventing new methods of skilled performance. We begin with a review of the role performance plateaus have played in experimental psychology, human–computer interaction, and cognitive science. We then reanalyze two classic studies of individual performance to show plateaus and dips which resulted in performance leaps. For a third study, we show how the statistical methods of Changepoint Analysis plus a few simple heuristics may direct our (...)
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  • Précis of Unified theories of cognition.Allen Newell - 1992 - Behavioral and Brain Sciences 15 (3):425-437.
    The book presents the case that cognitive science should turn its attention to developing theories of human cognition that cover the full range of human perceptual, cognitive, and action phenomena. Cognitive science has now produced a massive number of high-quality regularities with many microtheories that reveal important mechanisms. The need for integration is pressing and will continue to increase. Equally important, cognitive science now has the theoretical concepts and tools to support serious attempts at unified theories. The argument is made (...)
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  • The Construction of Causal Schemes: Learning Mechanisms at the Knowledge Level.Andrea A. diSessa - 2014 - Cognitive Science 38 (5):795-850.
    This work uses microgenetic study of classroom learning to illuminate (1) the role of pre-instructional student knowledge in the construction of normative scientific knowledge, and (2) the learning mechanisms that drive change. Three enactments of an instructional sequence designed to lead to a scientific understanding of thermal equilibration are used as data sources. Only data from a scaffolded student inquiry preceding introduction of a normative model were used. Hence, the study involves nearly autonomous student learning. In two classes, students developed (...)
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  • A psychologically implausible architecture that is always conscious, always active.Mark Vincent LaPolla & Bernard J. Baars - 1992 - Behavioral and Brain Sciences 15 (3):448-449.
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  • On models and mechanisms.William R. Uttal - 1992 - Behavioral and Brain Sciences 15 (3):459-460.
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  • Cartesian vs. Newtonian research strategies for cognitive science.Morton E. Winston - 1992 - Behavioral and Brain Sciences 15 (3):463-464.
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  • A cognitive theory without inductive learning.Lev Goldfarb - 1992 - Behavioral and Brain Sciences 15 (3):446-447.
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  • Unified cognition misses language.Csaba Pléh - 1992 - Behavioral and Brain Sciences 15 (3):451-453.
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  • 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.
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  • SOAR as a world view, not a theory.Earl Hunt & R. Duncan Luce - 1992 - Behavioral and Brain Sciences 15 (3):447-448.
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  • From implicit skills to explicit knowledge: a bottom‐up model of skill learning.Edward Merrillb & Todd Petersonb - 2001 - Cognitive Science 25 (2):203-244.
    This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), with a combination of localist (...)
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  • Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology.Graeme S. Halford, William H. Wilson & Steven Phillips - 1998 - Behavioral and Brain Sciences 21 (6):803-831.
    Working memory limits are best defined in terms of the complexity of the relations that can be processed in parallel. Complexity is defined as the number of related dimensions or sources of variation. A unary relation has one argument and one source of variation; its argument can be instantiated in only one way at a time. A binary relation has two arguments, two sources of variation, and two instantiations, and so on. Dimensionality is related to the number of chunks, because (...)
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  • Cognition and simulation.N. E. Wetherick - 1992 - Behavioral and Brain Sciences 15 (3):462-463.
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  • Modeling How, When, and What Is Learned in a Simple Fault‐Finding Task.Frank E. Ritter & Peter A. Bibby - 2008 - Cognitive Science 32 (5):862-892.
    We have developed a process model that learns in multiple ways while finding faults in a simple control panel device. The model predicts human participants' learning through its own learning. The model's performance was systematically compared to human learning data, including the time course and specific sequence of learned behaviors. These comparisons show that the model accounts very well for measures such as problem‐solving strategy, the relative difficulty of faults, and average fault‐finding time. More important, because the model learns and (...)
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  • Unified cognitive theory: Having one's apple pie and eating it.Stephan Lewandowsky - 1992 - Behavioral and Brain Sciences 15 (3):449-450.
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  • 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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  • Toward unified cognitive theory: The path is well worn and the trenches are deep.John M. Carroll - 1992 - Behavioral and Brain Sciences 15 (3):441-441.
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  • SOAR as a unified theory of cognition: Issues and explanations.Allen Newell - 1992 - Behavioral and Brain Sciences 15 (3):464-492.
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  • Choosing a unifying theory for cognitive development.Thomas R. Shultz - 1992 - Behavioral and Brain Sciences 15 (3):456-457.
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  • Unified theories must explain the codependencies among perception, cognition and action.Robert W. Proctor & Addie Dutta - 1992 - Behavioral and Brain Sciences 15 (3):453-454.
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  • Memory for goals: an activation‐based model.Erik M. Altmann & J. Gregory Trafton - 2002 - Cognitive Science 26 (1):39-83.
    Goal‐directed cognition is often discussed in terms of specialized memory structures like the “goal stack.” The goal‐activation model presented here analyzes goal‐directed cognition in terms of the general memory constructs of activation and associative priming. The model embodies three predictive constraints: (1) the interference level, which arises from residual memory for old goals; (1) the strengthening constraint, which makes predictions about time to encode a new goal; and (3) the priming constraint, which makes predictions about the role of cues in (...)
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  • Active symbols, limited storage and the power of natural intelligence.Eric Chown & Stephen Kaplan - 1992 - Behavioral and Brain Sciences 15 (3):442-443.
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  • A unified theory for psychologists?Richard A. Carlson & Mark Detweiler - 1992 - Behavioral and Brain Sciences 15 (3):440-440.
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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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  • Problem spaces, language and connectionism: Issues for cognition.Patrick Suppes - 1992 - Behavioral and Brain Sciences 15 (3):457-458.
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  • Does the evolutionary perspective offer more than constraints?Wolfgang Schleidt - 1992 - Behavioral and Brain Sciences 15 (3):456-456.
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  • Integration and Reuse in Cognitive Skill Acquisition.Dario D. Salvucci - 2013 - Cognitive Science 37 (5):829-860.
    Previous accounts of cognitive skill acquisition have demonstrated how procedural knowledge can be obtained and transformed over time into skilled task performance. This article focuses on a complementary aspect of skill acquisition, namely the integration and reuse of previously known component skills. The article posits that, in addition to mechanisms that proceduralize knowledge into more efficient forms, skill acquisition requires tight integration of newly acquired knowledge and previously learned knowledge. Skill acquisition also benefits from reuse of existing knowledge across disparate (...)
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  • Unifying congnition: Has it all been put together?John A. Michon - 1992 - Behavioral and Brain Sciences 15 (3):450-451.
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  • Reframing the problem of intelligent behavior.Stuart K. Card - 1992 - Behavioral and Brain Sciences 15 (3):438-439.
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