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  1.  18
    Resilient architectures to facilitate both functional consciousness and phenomenal consciousness in machines.Uma Ramamurthy & Stan Franklin - 2009 - International Journal of Machine Consciousness 1 (2):243-253.
  2.  81
    Evolutionary pressures for perceptual stability and self as guides to machine consciousness.Stan Franklin, Sidney D’Mello, Bernard J. Baars & Uma Ramamurthy - 2009 - International Journal of Machine Consciousness 1 (1):99-110.
    The currently leading cognitive theory of consciousness, Global Workspace Theory,1,2 postulates that the primary functions of consciousness include a global broadcast serving to recruit internal resources with which to deal with the current situation and to modulate several types of learning. In addition, conscious experiences present current conditions and problems to a "self" system, an executive interpreter that is identifiable with brain structures like the frontal lobes and precuneus.1Be it human, animal or artificial, an autonomous agent3 is said to be (...)
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  3. How deliberate, spontaneous, and unwanted memories emerge in a computational model of consciousness.Bernard J. Baars, Uma Ramamurthy & Stan Franklin - 2007 - In John H. Mace (ed.), Involuntary Memory. New Perspectives in Cognitive Psychology. Blackwell. pp. 177-207.
  4.  45
    Self-system in a model of cognition.Uma Ramamurthy, Stan Franklin & Pulin Agrawal - 2012 - International Journal of Machine Consciousness 4 (2):325-333.
  5.  97
    Consciousness and conceptual learning in a socially situated agent.Myles Bogner, Uma Ramamurthy & Stan Franklin - 2000 - In Kerstin Dauthenhahn (ed.), Human Cognition and Social Agent Technology. Amsterdam: John Benjamins. pp. 113--135.