A cognitive architecture that combines internal simulation with a global workspace

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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DOI 10.1016/j.concog.2005.11.005
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References found in this work BETA
Lawrence W. Barsalou (1999). Perceptual Symbol Systems. Behavioral and Brain Sciences 22 (4):577-660.
Jeffrey L. Elman (1990). Finding Structure in Time. Cognitive Science 14 (2):179-211.

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Citations of this work BETA
D. Gamez (2008). Progress in Machine Consciousness. Consciousness and Cognition 17 (3):887-910.
Will N. Browne & Richard J. Hussey (2009). Emotional Cognitive Steps Towards Consciousness. International Journal of Machine Consciousness 1 (02):203-211.

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