6 found
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Edward C. Merrill [3]Edward Merrill [3]
  1.  13
    Patterns of differences in wayfinding performance and correlations among abilities between persons with and without Down syndrome and typically developing children.Megan Davis, Edward C. Merrill, Frances A. Conners & Beverly Roskos - 2014 - Frontiers in Psychology 5:120155.
    Down syndrome (DS) impacts several brain regions including the hippocampus and surrounding structures that have responsibility for important aspects of navigation and wayfinding. Hence it is reasonable to expect that DS may result in a reduced ability to engage in these skills. Two experiments are reported that evaluated route-learning of youth with DS, youth with intellectual disability (ID) and not DS, and typically developing (TD) children matched on mental age (MA). In both experiments, participants learned routes with eight choice point (...)
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  2. A bottom-up model of skill learning.Ron Sun, Todd Peterson & Edward Merrill - unknown
    We present a skill learning model CLARION. Different from existing models of high-level skill learning that use a topdown approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. CLAR- ION is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a minefield navigation task. A match between the model and (...)
     
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  3. Bottom-up skill learning in reactive sequential decision tasks.Ron Sun, Todd Peterson & Edward Merrill - unknown
    This paper introduces a hybrid model that unifies connectionist, symbolic, and reinforcement learning into an integrated architecture for bottom-up skill learning in reactive sequential decision tasks. The model is designed for an agent to learn continuously from on-going experience in the world, without the use of preconceived concepts and knowledge. Both procedural skills and high-level knowledge are acquired through an agent’s experience interacting with the world. Computational experiments with the model in two domains are reported.
     
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  4.  17
    The Acquisition of Survey Knowledge by Individuals With Down Syndrome.Zachary M. Himmelberger, Edward C. Merrill, Frances A. Conners, Beverly Roskos, Yingying Yang & Trent Robinson - 2020 - Frontiers in Human Neuroscience 14:516353.
    Two experiments are reported that evaluated survey learning of youth with DS and typically developing children (TD) matched on Mental Age (MA). In Experiment 1, the experimenter navigated participants through a novel virtual environment along a circuitous path, beginning and ending at a target landmark (i.e., a door). Then, the participants were placed at a pre-specified location in the environment and instructed to navigate to the same door using the shortest possible path from their current location. They completed the task (...)
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  5. Tuscaloosa, AL 35487.Todd Peterson, Ron Sun & Edward Merrill - unknown
    This paper introduces a hybrid model that combines connectionist, symbolic, and reinforcement learning for tackling reactive sequential decision tasks by a situated agent. Both procedural skills and high-level symbolic representations are acquired through an agent's experience interacting with the world, in a bottom-up direction. It deals with on-line learning, that is, learning continuously from on-going experience in the world, without the use of preconstructed data sets or preconceived concepts. The model is a connectionist one based on a two-level approach proposed (...)
     
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  6.  24
    Sex Differences in Using Spatial and Verbal Abilities Influence Route Learning Performance in a Virtual Environment: A Comparison of 6- to 12-Year Old Boys and Girls. [REVIEW]Edward C. Merrill, Yingying Yang, Beverly Roskos & Sara Steele - 2016 - Frontiers in Psychology 7.
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