Works by Richard Cooper ( view other items matching `Richard Cooper`, view all matches )
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Richard P. Cooper [10]Richard Cooper [4]

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  1. Richard P. Cooper, Caroline Catmur & Cecilia Heyes (2013). Are Automatic Imitation and Spatial Compatibility Mediated by Different Processes? Cognitive Science 37 (4):605-630.
    Automatic imitation or “imitative compatibility” is thought to be mediated by the mirror neuron system and to be a laboratory model of the motor mimicry that occurs spontaneously in naturalistic social interaction. Imitative compatibility and spatial compatibility effects are known to depend on different stimulus dimensions—body movement topography and relative spatial position. However, it is not yet clear whether these two types of stimulus–response compatibility effect are mediated by the same or different cognitive processes. We present an interactive activation model (...)
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  2. Richard P. Cooper, Caroline Catmur & Cecilia Heyes (2013). Neither Shaken nor Stirred: Reply to Bertenthal and Scheutz. Cognitive Science 37 (4):642-645.
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  3. Naomi Miyake, David Peebles & Richard Cooper (eds.) (2012). Proceedings of the Thirty-Fourth Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  4. Richard P. Cooper (2011). Complementary Perspectives on Cognitive Control. Topics in Cognitive Science 3 (2):208-211.
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  5. Richard P. Cooper (2010). Cognitive Control: Componential or Emergent? Topics in Cognitive Science 2 (4):598-613.
    The past 25 years have witnessed an increasing awareness of the importance of cognitive control in the regulation of complex behavior. It now sits alongside attention, memory, language, and thinking as a distinct domain within cognitive psychology. At the same time it permeates each of these sibling domains. This introduction reviews recent work on cognitive control in an attempt to provide a context for the fundamental question addressed within this topic: Is cognitive control to be understood as resulting from the (...)
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  6. Richard P. Cooper & Tim Shallice (2010). Cognitive Neuroscience: The Troubled Marriage of Cognitive Science and Neuroscience. Topics in Cognitive Science 2 (3):398-406.
    We discuss the development of cognitive neuroscience in terms of the tension between the greater sophistication in cognitive concepts and methods of the cognitive sciences and the increasing power of more standard biological approaches to understanding brain structure and function. There have been major technological developments in brain imaging and advances in simulation, but there have also been shifts in emphasis, with topics such as thinking, consciousness, and social cognition becoming fashionable within the brain sciences. The discipline has great promise (...)
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  7. Robert Leech, Denis Mareschal & Richard P. Cooper (2008). Analogy as Relational Priming: A Developmental and Computational Perspective on the Origins of a Complex Cognitive Skill. Behavioral and Brain Sciences 31 (4):357-378.
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  8. Robert Leech, Denis Mareschal & Richard P. Cooper (2008). Growing Cognition From Recycled Parts. Behavioral and Brain Sciences 31 (4):401-414.
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  9. Richard P. Cooper (2006). Cognitive Architectures as Lakatosian Research Programs: Two Case Studies. Philosophical Psychology 19 (2):199-220.
    Cognitive architectures - task-general theories of the structure and function of the complete cognitive system - are sometimes argued to be more akin to frameworks or belief systems than scientific theories. The argument stems from the apparent non-falsifiability of existing cognitive architectures. Newell was aware of this criticism and argued that architectures should be viewed not as theories subject to Popperian falsification, but rather as Lakatosian research programs based on cumulative growth. Newell's argument is undermined because he failed to demonstrate (...)
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  10. Richard P. Cooper (2003). Mechanisms for the Generation and Regulation of Sequential Behaviour. Philosophical Psychology 16 (3):389 – 416.
    A critical aspect of much human behaviour is the generation and regulation of sequential activities. Such behaviour is seen in both naturalistic settings such as routine action and language production and laboratory tasks such as serial recall and many reaction time experiments. There are a variety of computational mechanisms that may support the generation and regulation of sequential behaviours, ranging from those underlying Turing machines to those employed by recurrent connectionist networks. This paper surveys a range of such mechanisms, together (...)
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  11. Richard P. Cooper (2002). Two Closely Related Simulations Provide Weak Limits on Residual Normality. Behavioral and Brain Sciences 25 (6):754-755.
    Thomas & Karmiloff-Smith (T&K-S) correctly identify Residual Normality (RN) as a critical assumption of some theorising about mental structure within developmental psychology. However, their simulations provide only weak support for the conditions under which RN may occur because they explore closely related architectures that share a learning algorithm. It is suggested that more work is required to establish the limits of RN.
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  12. Richard Cooper (2000). Simple Heuristics Could Make Us Smart; but Which Heuristics Do We Apply When? Behavioral and Brain Sciences 23 (5):746-746.
    Simple heuristics are clearly powerful tools for making near optimal decisions, but evidence for their use in specific situations is weak. Gigerenzer et al. (1999) suggest a range of heuristics, but fail to address the question of which environmental or task cues might prompt the use of any specific heuristic. This failure compromises the falsifiability of the fast and frugal approach.
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  13. Nick Braisby, Richard Cooper & Bradley Franks (1998). Why the Dynamical Hypothesis Cannot Qualify as a Law of Qualitative Structure. Behavioral and Brain Sciences 21 (5):630-631.
    Van Gelder presents the dynamical hypothesis as a novel law of qualitative structure to compete with Newell and Simon's (1976) physical symbol systems hypothesis. Unlike Newell and Simon's hypothesis, the dynamical hypothesis fails to provide necessary and sufficient conditions for cognition. Furthermore, imprecision in the statement of the dynamical hypothesis renders it unfalsifiable.
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  14. Richard Cooper & Bradley Franks (1993). Interruptibility as a Constraint on Hybrid Systems. Minds and Machines 3 (1):73-96.
    It is widely mooted that a plausible computational cognitive model should involve both symbolic and connectionist components. However, sound principles for combining these components within a hybrid system are currently lacking; the design of such systems is oftenad hoc. In an attempt to ameliorate this we provide a framework of types of hybrid systems and constraints therein, within which to explore the issues. In particular, we suggest the use of system independent constraints, whose source lies in general considerations about cognitive (...)
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