The Global Workspace Theory of Consciousness
December 13, 2007 DOI: 10.1002/9780470751466.ch19 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Citations | 48 |
| Key points | Argues that global workspace theory provides a promising answer to the puzzle of limited conscious capacity versus vast unconscious processing, but acknowledges gaps and limits in current models, indicating the theory is not yet fully developed. |
Abstract
This chapter contains section titled: Introduction The Central Puzzle: Conscious Limits vs. Unconscious Vastness Global Access: an Answer to the Puzzle of Limited Capacity? Global Workspace Th eory and Specific GW Models Gaps and Limits in Current Work Summary and Conclusions
Citations in the library
Cited by 9
- Understanding Consciousness as Data Compression Journal of Cognitive Science March 1, 2016
- A Global Workspace Model Implementation and its Relations with Philosophy of Mind Journal of Artificial Intelligence and Consciousness October 25, 2021
- Can Neurotheology Explain Religion? Archive for the Psychology of Religion May 1, 2011
- The Mind-Matter Dichotomy: A Persistent Challenge for Neuroscientific and Philosophical Theories. European Journal of Neuroscience May 1, 2025
- Why Uncertainty Is Essential for Consciousness: Local Prospect Theory vs. Predictive Processing. Entropy (Basel, Switzerland) January 28, 2025
and 4 more in the library
Cites 5
- Applying global workspace theory to the frame problem. Cognition December 1, 2005
- 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
- The conscious access hypothesis: origins and recent evidence. Trends in Cognitive Sciences 2002