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  1.  2
    Modeling Working Memory to Identify Computational Correlates of Consciousness.James A. Reggia, Garrett E. Katz & Gregory P. Davis - 2019 - Open Philosophy 2 (1):252-269.
    Recent advances in philosophical thinking about consciousness, such as cognitive phenomenology and mereological analysis, provide a framework that facilitates using computational models to explore issues surrounding the nature of consciousness. Here we suggest that, in particular, studying the computational mechanisms of working memory and its cognitive control is highly likely to identify computational correlates of consciousness and thereby lead to a deeper understanding of the nature of consciousness. We describe our recent computational models of human working memory and propose that (...)
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  2.  18
    Population Lateralization Arises in Simulated Evolution of Non-Interacting Neural Networks.James A. Reggia & Alexander Grushin - 2005 - Behavioral and Brain Sciences 28 (4):609-611.
    Recent computer simulations of evolving neural networks have shown that population-level behavioral asymmetries can arise without social interactions. Although these models are quite limited at present, they support the hypothesis that social pressures can be sufficient but are not necessary for population lateralization to occur, and they provide a framework for further theoretical investigation of this issue.
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  3.  13
    The Emergence of an Internally-Grounded, Multireferent Communication System.Kyle Wagner & James A. Reggia - 2006 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 7 (1):105-129.
    Previous simulation work on the evolution of communication has not shown how a large signal repertoire could emerge in situated agents. We present an artificial life simulation of agents, situated in a two-dimensional world, that must search for other agents with whom they can trade resources. With strong restrictions on which resources can be traded for others, initially non-communicating agents evolve/learn a signal system that describes the resource they seek and the resource they are willing to offer in return. A (...)
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  4.  14
    Measuring the Plausibility of Explanatory Hypotheses.James A. Reggia - 1989 - Behavioral and Brain Sciences 12 (3):486-487.
  5.  4
    Level of Analysis is Not a Central Issue.James A. Reggia - 1990 - Behavioral and Brain Sciences 13 (2):406-407.