A cognitive architecture that combines internal simulation with a global workspace.
Consciousness and Cognition June 1, 2006 DOI: 10.1016/j.concog.2005.11.005 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes that a cognitive architecture incorporating approximations of consciousness, imagination, and emotion can control a simulated robot through internal simulation and affect-mediated action selection. |
Abstract
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.
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- A neuronal network model linking subjective reports and objective physiological data during conscious perception. Proceedings of the National Academy of Sciences July 8, 2003
- Naturalizing consciousness: a theoretical framework. Proceedings of the National Academy of Sciences April 17, 2003
- How conscious experience and working memory interact. Trends in Cognitive Sciences April 1, 2003
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