David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Consciousness and Cognition 15 (2):433-449 (2006)
This paper proposes a brain-inspired cognitive architecture that incorporates approximations to the concepts of consciousness, imagination, and emotion. To emulate the empirically established cognitive efficacy of conscious as opposed to non-conscious information processing in the mammalian brain, the architecture adopts a model of information flow from global workspace theory. Cognitive functions such as anticipation and planning are realised through internal simulation of interaction with the environment. Action selection, in both actual and internally simulated interaction with the environment, is mediated by affect. An implementation of the architecture is described which is based on weightless neurons and is used to control a simulated robot.
|Keywords||*Cognitive Processes *Consciousness States *Logical Thinking *Simulation Brain|
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Citations of this work BETA
D. Gamez (2008). Progress in Machine Consciousness. Consciousness and Cognition 17 (3):887-910.
Wendell Wallach, Colin Allen & Stan Franklin (2011). Consciousness and Ethics: Artificially Conscious Moral Agents. International Journal of Machine Consciousness 3 (01):177-192.
Wendell Wallach, Stan Franklin & Colin Allen (2010). A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents. Topics in Cognitive Science 2 (3):454-485.
Stan Franklin, Sidney D'Mello, Bernard J. Baars & Uma Ramamurthy (2009). Evolutionary Pressures for Perceptual Stability and Self as Guides to Machine Consciousness. International Journal of Machine Consciousness 1 (1):99-110.
M. Shanahan (2008). A Spiking Neuron Model of Cortical Broadcast and Competition. Consciousness and Cognition 17 (1):288-303.
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