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  1. 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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  • 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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  • Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andrew C. Barto - 2009 - Cognition 113 (3):262-280.
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  • Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective.Matthew M. Botvinick, Yael Niv & Andew G. Barto - 2009 - Cognition 113 (3):262-280.
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  • A new look at habits and the habit-goal interface.Wendy Wood & David T. Neal - 2007 - Psychological Review 114 (4):843-863.
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  • Intention, Emotion, and Action: A Neural Theory Based on Semantic Pointers.Tobias Schröder, Terrence C. Stewart & Paul Thagard - 2014 - Cognitive Science 38 (5):851-880.
    We propose a unified theory of intentions as neural processes that integrate representations of states of affairs, actions, and emotional evaluation. We show how this theory provides answers to philosophical questions about the concept of intention, psychological questions about human behavior, computational questions about the relations between belief and action, and neuroscientific questions about how the brain produces actions. Our theory of intention ties together biologically plausible mechanisms for belief, planning, and motor control. The computational feasibility of these mechanisms is (...)
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  • Constructing the context through goals and schemata: top-down processes in comprehension and beyond.Marco Mazzone - 2015 - Frontiers in Psychology 6.
    My main purpose here is to provide an account of context selection in utterance understanding in terms of the role played by schemata and goals in top-down processing. The general idea is that information is organized hierarchically, with items iteratively organized in chunks—here called “schemata”—at multiple levels, so that the activation of any items spreads to schemata that are the most accessible due to previous experience. The activation of a schema, in turn, activates its other components, so as to predict (...)
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  • Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective.Andrew C. Barto Matthew M. Botvinick, Yael Niv - 2009 - Cognition 113 (3):262.
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  • On the ability to inhibit thought and action: General and special theories of an act of control.Gordon D. Logan, Trisha Van Zandt, Frederick Verbruggen & Eric-Jan Wagenmakers - 2014 - Psychological Review 121 (1):66-95.
  • Why we may not find intentions in the brain.Sebo Uithol, Daniel C. Burnston & Pim Haselager - 2014 - Neuropsychologia 56 (5):129-139.
    Intentions are commonly conceived of as discrete mental states that are the direct cause of actions. In the last several decades, neuroscientists have taken up the project of finding the neural implementation of intentions, and a number of areas have been posited as implementing these states. We argue, however, that the processes underlying action initiation and control are considerably more dynamic and context sensitive than the concept of intention can allow for. Therefore, adopting the notion of ‘intention’ in neuroscientific explanations (...)
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