David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
We consider Baars’ "Global Workspace" theory of consciousness and discuss its possible representation within a model of intelligent agents. We first review a particular agent implementation that is given by an abstract machine, and then identify the extensions that are required in order to accommodate the main aspects of consciousness. According to Baars’ theory, this amounts to unconscious process coalitions that result in the creation of contexts. These extensions can be formulated within a reified virtual machine encompassing a representation of the original machine as well as an additional introspective component. This computational framework is illustrating throughout using a simple working example.
|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 (2007). The Global Workspace Theory of Consciousness. In Max Velmans & Susan Schneider (eds.), The Blackwell Companion to Consciousness. Blackwell 236--246.
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.
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.
Shimon Edelman (2011). The Metaphysics of Embodiment. International Journal of Machine Consciousness 3 (02):321-.
Robert W. Lurz (2004). In Search of the Metaphor of the Mind: A Critical Review of Baars' in the Theater of Consciousness. [REVIEW] Philosophical Psychology 17 (2):297 – 307.
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 (1):99-110.
Nicholas Boltuc & Peter Boltuc (2007). Replication of the Hard Problem of Consciousness in AI and Bio-AI: An Early Conceptual Framework. In Anthony Chella & Ricardo Manzotti (eds.), AI and Consciousness: Theoretical Foundations and Current Approaches. AAAI Press, Merlo Park, CA
Bernard J. Baars (1988). A Cognitive Theory of Consciousness. Cambridge University Press.
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.
Added to index2009-03-01
Total downloads132 ( #27,456 of 1,792,164 )
Recent downloads (6 months)30 ( #27,239 of 1,792,164 )
How can I increase my downloads?