A modular network treatment of Baars' global workspace consciousness model
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Network theory provides an alternative to the renormalization and phase transition methods used in Wallace's (2005a) treatment of Baars' Global Workspace model. Like the earlier study, the new analysis produces the workplace itself, the tunable threshold of consciousness, and the essential role for embedding contexts, in an explicitly analytic 'necessary conditions' manner which suffers neither the mereological fallacy inherent to brain-only theories nor the sufficiency indeterminacy of neural network or agent-based simulations. This suggests that the new approach, and the earlier, represent different analytically solvable limits in a broad continuum of possible models, analogous to the differences between bond and site percolation or between the two and many-body limits of classical mechanics. The development significantly extends the theoretical foundations for an empirical general cognitive model (GCM) based on the Shannon-McMillan Theorem. Patterned after the general linear model which reflects the Central Limit Theorem, the proposed technique should be both useful for the reduction of expermiental data on consciousness and in the design of devices with capacities which may transcend those of conventional machines and provide new perspectives on the varieties of biological consciousness
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Bernard J. Baars (1997). In the Theatre of Consciousness: Global Workspace Theory, a Rigorous Scientific Theory of Consciousness. Journal of Consciousness Studies 4 (4):292-309.
Bernard J. Baars & Stan Franklin (2009). Consciousness is Computational: The Lida Model of Global Workspace Theory. International Journal of Machine Consciousness 1 (1):23-32.
Ivan Moura & Pierre Bonzon (2004). A Computational Framework for Implementing Baars' Global Worslaoce Theory of Consciousness. In Proceedings Conference of Brain Inspired Cognitive Systems (BICS),.
Josh McDermott (1995). Global Workspace Theory: Consciousness Explained? Harvard Brain 2 (1).
Stan Franklin & Art Graesser (1999). A Software Agent Model of Consciousness. Consciousness and Cognition 8 (3):285-301.
J. B. Newman & Bernard J. Baars (1993). A Neural Attentional Model for Access to Consciousness: A Global Workspace Perspective. Concepts in Neuroscience 4 (2):255-90.
Rodrick Wallace, Consciousness, Cognition, and the Hierarchy of Context: Expanding the Global Neuronal Workspace.
Added to index2009-01-28
Total downloads20 ( #194,732 of 1,911,774 )
Recent downloads (6 months)1 ( #458,986 of 1,911,774 )
How can I increase my downloads?