David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
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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Ricardo Sanz, Carlos Hernández, Jaime Gómez, Julita Bermejo-Alonso, Manuel Rodríguez, Adolfo Hernando & Guadalupe Sánchez (2009). Systems, Models and Self-Awareness: Towards Architectural Models of Consciousness. International Journal of Machine Consciousness 1 (02):255-279.
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 (01):99-110.
Nathan J. Emery & Nicola S. Clayton (2008). Imaginative Scrub-Jays, Causal Rooks, and a Liberal Application of Occam's Aftershave. Behavioral and Brain Sciences 31 (2):134-135.
Gagan Deep Kaur (forthcoming). Kant and the Simulation Hypothesis. AI and Society:1-10.
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