“Machine” Consciousness and “Artificial” Thought: An Operational Architectonics Model Guided Approach
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Brain Research 1428:80-92 (2012)
Instead of using low-level neurophysiology mimicking and exploratory programming methods commonly used in the machine consciousness field, the hierarchical Operational Architectonics (OA) framework of brain and mind functioning proposes an alternative conceptual-theoretical framework as a new direction in the area of model-driven machine (robot) consciousness engineering. The unified brain-mind theoretical OA model explicitly captures (though in an informal way) the basic essence of brain functional architecture, which indeed constitutes a theory of consciousness. The OA describes the neurophysiological basis of the phenomenal level of brain organization. In this context the problem of producing man-made “machine” consciousness and “artificial” thought is a matter of duplicating all levels of the operational architectonics hierarchy (with its inherent rules and mechanisms) found in the brain electromagnetic field. We hope that the conceptual-theoretical framework described in this paper will stimulate the interest of mathematicians and/or computer scientists to abstract and formalize principles of hierarchy of brain operations which are the building blocks for phenomenal consciousness and thought.
|Keywords||Operational Architectonics robot artificial mind brain architecture conscious operation many-body field dynamics EEG metastability Machine Consciousness Artificial Thought|
|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
Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves (2009). Brain and Mind Operational Architectonics and Man-Made “Machine” Consciousness. Cognitive Processing 10 (2):105-111.
Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves (2009). Phenomenological Architecture of a Mind and Operational Architectonics of the Brain: The Unified Metastable Continuum. In Robert Kozma & John Caulfield (eds.), Journal of New Mathematics and Natural Computing. Special Issue on Neurodynamic Correlates of Higher Cognition and Consciousness: Theoretical and Experimental Approaches - in Honor of Walter J Freeman's 80th Birthday. World Scientific. 221-244.
Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves (2010). Emergentist Monism, Biological Realism, Operations and Brain-Mind Problem. Physics of Life Reviews 7 (2):264-268.
Andrew A. Fingelkurts & Alexander A. Fingelkurts (2013). Dissipative Many-Body Model and a Nested Operational Architectonics of the Brain. Physics of Life Reviews 10:103-105.
Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi (2012). Toward Operational Architectonics of Consciousness: Basic Evidence From Patients with Severe Cerebral Injuries. Cognitive Processing 13 (2):111-131.
Andrew A. Fingelkurts & Alexander A. Fingelkurts (2012). Mind as a Nested Operational Architectonics of the Brain. Physics of Life Reviews 9 (1):49-50.
Andrew A. Fingelkurts & Alexander A. Fingelkurts (2001). Operational Architectonics of the Human Brain Biopotential Field: Toward Solving the Mind-Brain Problem. [REVIEW] Brain and Mind 2 (3):261-296.
Giulio Benedetti, Giorgio Marchetti, Alexander A. Fingelkurts & Andrew A. Fingelkurts (2010). Mind Operational Semantics and Brain Operational Architectonics: A Putative Correspondence. Open Neuroimaging Journal 4:53-69.
Andrew A. Fingelkurts & Alexander A. Fingelkurts (2006). Timing in Cognition and EEG Brain Dynamics: Discreteness Versus Continuity. Cognitive Processing 7 (3):135-162.
Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves (2010). Natural World Physical, Brain Operational, and Mind Phenomenal Space-Time. Physics of Life Reviews 7 (2):195-249.
Andrew A. Fingelkurts & Alexander A. Fingelkurts (2004). Making Complexity Simpler: Multivariability and Metastability in the Brain. International Journal of Neuroscience 114 (7):843 - 862.
Owen Holland (2007). A Strongly Embodied Approach to Machine Consciousness. Journal of Consciousness Studies 14 (7):97-110.
Alexandra Elbakyan, Consciousness in Mixed Systems: Merging Artificial and Biological Minds Via Brain-Machine Interface.
T. Kitamura (2002). What is the Self of a Robot? On a Consciousness Architecture for a Mobile Robot as a Model of Human Consciousness. In Kunio Yasue, Marj Jibu & Tarcisio Della Senta (eds.), No Matter, Never Mind. John Benjamins. 33--231.
Owen Holland (ed.) (2003). Machine Consciousness. Imprint Academic.
Added to index2011-11-13
Total downloads34 ( #51,853 of 1,102,738 )
Recent downloads (6 months)6 ( #46,741 of 1,102,738 )
How can I increase my downloads?