28 found
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  1.  56
    The Organisation of Mind.Tim Shallice & Richard P. Cooper - 2011 - Oxford University Press.
    To understand the mind, we need to draw equally on the fields of cognitive science and neuroscience. But these two fields have very separate intellectual roots, and very different styles. So how can these two be reconciled in order to develop a full understanding of the mind and brain.This is the focus of this landmark new book.
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  2.  29
    Action Production and Event Perception as Routine Sequential Behaviors.Richard P. Cooper - 2021 - Topics in Cognitive Science 13 (1):63-78.
    Topics in Cognitive Science, Volume 13, Issue 1, Page 63-78, January 2021.
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  3.  22
    Multidisciplinary Flux and Multiple Research Traditions Within Cognitive Science.Richard P. Cooper - 2019 - Topics in Cognitive Science 11 (4):869-879.
    Núñez et al. (2019) argue that cognitive science has failed either “to transition to a mature inter‐disciplinary coherent field” (p. 782) or “to generate a successful [Lakatosian] research program” (p. 789). We argue that the former was never the intention of many early researchers within the field, while the latter is an inappropriate criterion by which to judge an entire discipline. However, we concur with Núñez et al. (2019) that the individual disciplinary balance within cognitive science has changed over time. (...)
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  4.  25
    Hierarchical schemas and goals in the control of sequential behavior.Richard P. Cooper & Tim Shallice - 2006 - Psychological Review 113 (4):887-916.
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  5.  18
    Is there a semantic system for abstract words?Tim Shallice & Richard P. Cooper - 2013 - Frontiers in Human Neuroscience 7.
  6. Cognitive Control: Componential or Emergent?Richard P. Cooper - 2010 - 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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  7. Analogy as relational priming: A developmental and computational perspective on the origins of a complex cognitive skill.Robert Leech, Denis Mareschal & Richard P. Cooper - 2008 - Behavioral and Brain Sciences 31 (4):357-378.
    The development of analogical reasoning has traditionally been understood in terms of theories of adult competence. This approach emphasizes structured representations and structure mapping. In contrast, we argue that by taking a developmental perspective, analogical reasoning can be viewed as the product of a substantially different cognitive ability – relational priming. To illustrate this, we present a computational (here connectionist) account where analogy arises gradually as a by-product of pattern completion in a recurrent network. Initial exposure to a situation primes (...)
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  8.  98
    The Goal Circuit Model: A Hierarchical Multi‐Route Model of the Acquisition and Control of Routine Sequential Action in Humans.Richard P. Cooper, Nicolas Ruh & Denis Mareschal - 2014 - Cognitive Science 38 (2):244-274.
    Human control of action in routine situations involves a flexible interplay between (a) task-dependent serial ordering constraints; (b) top-down, or intentional, control processes; and (c) bottom-up, or environmentally triggered, affordances. In addition, the interaction between these influences is modulated by learning mechanisms that, over time, appear to reduce the need for top-down control processes while still allowing those processes to intervene at any point if necessary or if desired. We present a model of the acquisition and control of goal-directed action (...)
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  9.  89
    Thirty Years After Marr's Vision: Levels of Analysis in Cognitive Science.David Peebles & Richard P. Cooper - 2015 - Topics in Cognitive Science 7 (2):187-190.
    Thirty years after the publication of Marr's seminal book Vision the papers in this topic consider the contemporary status of his influential conception of three distinct levels of analysis for information-processing systems, and in particular the role of the algorithmic and representational level with its cognitive-level concepts. This level has been downplayed or eliminated both by reductionist neuroscience approaches from below that seek to account for behavior from the implementation level and by Bayesian approaches from above that seek to account (...)
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  10.  29
    Everyday Activities.Holger Schultheis & Richard P. Cooper - 2022 - Topics in Cognitive Science 14 (2):214-222.
    Topics in Cognitive Science, Volume 14, Issue 2, Page 214-222, April 2022.
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  11.  43
    The Role of Falsification in the Development of Cognitive Architectures: Insights from a Lakatosian Analysis.Richard P. Cooper - 2007 - Cognitive Science 31 (3):509-533.
    It has been suggested that the enterprise of developing mechanistic theories of the human cognitive architecture is flawed because the theories produced are not directly falsifiable. Newell attempted to sidestep this criticism by arguing for a Lakatosian model of scientific progress in which cognitive architectures should be understood as theories that develop over time. However, Newell's own candidate cognitive architecture adhered only loosely to Lakatosian principles. This paper reconsiders the role of falsification and the potential utility of Lakatosian principles in (...)
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  12.  97
    Beyond Single‐Level Accounts: The Role of Cognitive Architectures in Cognitive Scientific Explanation.Richard P. Cooper & David Peebles - 2015 - Topics in Cognitive Science 7 (2):243-258.
    We consider approaches to explanation within the cognitive sciences that begin with Marr's computational level or Marr's implementational level and argue that each is subject to fundamental limitations which impair their ability to provide adequate explanations of cognitive phenomena. For this reason, it is argued, explanation cannot proceed at either level without tight coupling to the algorithmic and representation level. Even at this level, however, we argue that additional constraints relating to the decomposition of the cognitive system into a set (...)
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  13. Cognitive architectures as Lakatosian research programs: Two case studies.Richard P. Cooper - 2006 - 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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  14. Cognitive Neuroscience: The Troubled Marriage of Cognitive Science and Neuroscience.Richard P. Cooper & Tim Shallice - 2010 - 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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  15.  61
    Are Automatic Imitation and Spatial Compatibility Mediated by Different Processes?Richard P. Cooper, Caroline Catmur & Cecilia Heyes - 2013 - 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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  16.  18
    A Canonical Theory of Dynamic Decision-Making.John Fox, Richard P. Cooper & David W. Glasspool - 2013 - Frontiers in Psychology 4.
  17.  20
    An architecturally constrained model of random number generation and its application to modeling the effect of generation rate.Nicholas J. Sexton & Richard P. Cooper - 2014 - Frontiers in Psychology 5.
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  18.  44
    On the Relation Between Marr's Levels: A Response to Blokpoel (2017).Richard P. Cooper & David Peebles - 2018 - Topics in Cognitive Science 10 (3):649-653.
    Blokpoel reminds us of the importance of consistency of function across Marr's levels, but we argue that the approach to ensuring consistency that he advocates—a strict relation through exact implementation of the higher level function at the lower level—is unnecessarily restrictive. We show that it forces overcomplication of the computational level (by requiring it to incorporate concerns from lower levels) and results in the sacrifice of the distinct responsibilities associated with each level. We propose an alternative, no less rigorous, potential (...)
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  19.  20
    Structured representations in the control of behavior cannot be so easily dismissed: A reply to Botvinick and Plaut (2006).Richard P. Cooper & Tim Shallice - 2006 - Psychological Review 113 (4):929-931.
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  20.  28
    Deep-learning networks and the functional architecture of executive control.Richard P. Cooper - 2017 - Behavioral and Brain Sciences 40.
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  21. Modelling the correlation between two putative inhibition tasks: An analytic approach.Eddy J. Davelaar & Richard P. Cooper - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
  22.  22
    The planning and execution of natural sequential actions in the preschool years.Livia Freier, Richard P. Cooper & Denis Mareschal - 2015 - Cognition 144:58-66.
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  23.  59
    Complementary Perspectives on Cognitive Control.Richard P. Cooper - 2011 - Topics in Cognitive Science 3 (2):208-211.
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  24.  50
    Mechanisms for the generation and regulation of sequential behaviour.Richard P. Cooper - 2003 - 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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  25.  35
    Neither Shaken nor Stirred: Reply to Bertenthal and Scheutz.Richard P. Cooper, Caroline Catmur & Cecilia Heyes - 2013 - Cognitive Science 37 (4):642-645.
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  26.  48
    Two closely related simulations provide weak limits on residual normality.Richard P. Cooper - 2002 - Behavioral and Brain Sciences 25 (6):754-755.
    Thomas & Karmiloff- Smith correctly identify Residual Normality 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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  27.  17
    Growing cognition from recycled parts.Robert Leech, Denis Mareschal & Richard P. Cooper - 2008 - Behavioral and Brain Sciences 31 (4):401-414.
    In this response, we reiterate the importance of development (both ontogenetic and phylogenetic) in the understanding of a complex cognitive skill – analogical reasoning. Four key questions structure the response: Does relational priming exist, and is it sufficient for analogy? What do we mean by relations as transformations? Could all or any relations be represented as transformations? And what about the challenge of more complex analogies? In addressing these questions we bring together a number of supportive commentaries, strengthening our emergentist (...)
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  28.  43
    Relevance theory, pragmatic inference and cognitive architecture.Wen Yuan, Francis Y. Lin & Richard P. Cooper - 2019 - Philosophical Psychology 32 (1):98-122.
    Relevance Theory (RT) argues that human language comprehension processes tend to maximize “relevance,” and postulates that there is a relevance-based procedure that a hearer follows when trying to understand an utterance. Despite being highly influential, RT has been criticized for its failure to explain how speaker-related information, either the speaker’s abilities or her/his preferences, is incorporated into the hearer’s inferential, pragmatic process. An alternative proposal is that speaker-related information gains prominence due to representation of the speaker within higher level goal-directed (...)
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