David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
In Shimon Edelman, Tomer Fekete & Neta Zach (eds.), Being in Time: Dynamical Models of Phenomenal Experience. John Benjamins. 88--95 (2012)
The proponents of machine consciousness predicate the mental life of a machine, if any, exclusively on its formal, organizational structure, rather than on its physical composition. Given that matter is organized on a range of levels in time and space, this generic stance must be further constrained by a principled choice of levels on which the posited structure is supposed to reside. Indeed, not only must the formal structure fit well the physical system that realizes it, but it must do so in a manner that is determined by the system itself, simply because the mental life of a machine cannot be up to an external observer. To illustrate just how tall this order is, we carefully analyze the scenario in which a digital computer simulates a network of neurons. We show that the formal correspondence between the two systems thereby established is at best partial, and, furthermore, that it is fundamentally incapable of realizing both some of the essential properties of actual neuronal systems and some of the fundamental properties of experience. Our analysis suggests that, if machine consciousness is at all possible, conscious experience can only be instantiated in a class of machines that are entirely different from digital computers, namely, time-continuous, open, analog dynamical systems.
|Keywords||Consciousness dynamical systems computational machine intelligence organizational invariance|
|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
Darren Whobrey (2001). Machine Mentality and the Nature of the Ground Relation. Minds and Machines 11 (3):307-346.
Hilary Putnam (1964). Robots: Machines or Artificially Created Life? Journal of Philosophy 61 (November):668-91.
Edwin J. Beggs, José Félix Costa & John V. Tucker (2010). Physical Oracles: The Turing Machine and the Wheatstone Bridge. Studia Logica 95 (1/2):279 - 300.
Shane Legg & Marcus Hutter (2007). Universal Intelligence: A Definition of Machine Intelligence. Minds and Machines 17 (4):391-444.
Stevan Harnad (2003). Can a Machine Be Conscious? How? Journal of Consciousness Studies 10 (4):67-75.
Susan A. J. Stuart (2007). Machine Consciousness: Cognitive and Kinaesthetic Imagination. Journal of Consciousness Studies 14 (7):141-153.
D. King (1996). Is the Human Mind a Turing Machine? Synthese 108 (3):379-89.
W. Schonbein (2005). Cognition and the Power of Continuous Dynamical Systems. Minds and Machines 15 (1):57-71.
David J. Chalmers (2010). The Singularity: A Philosophical Analysis. Journal of Consciousness Studies 17 (9-10):9 - 10.
Y. Sato & T. Ikegami (2004). Undecidability in the Imitation Game. Minds and Machines 14 (2):133-43.
Aaron Sloman (1996). Beyond Turing Equivalence. In Peter Millican Andy Clark (ed.), Machines and Thought The Legacy of Alan Turing. Oxford University Press 1--179.
John Mark Bishop (2009). Why Computers Can't Feel Pain. Minds and Machines 19 (4):507-516.
Hiroshi Ishiguro (2006). Android Science: Conscious and Subconscious Recognition. Connection Science 18 (4):319-332.
Timothy L. Hubbard (2007). What is Mental Representation? And How Does It Relate to Consciousness? Journal of Consciousness Studies 14 (1):37-61.
Vinod Goel (1991). Notationality and the Information Processing Mind. Minds and Machines 1 (2):129-166.
Added to index2012-07-01
Total downloads13 ( #255,413 of 1,790,307 )
Recent downloads (6 months)3 ( #267,458 of 1,790,307 )
How can I increase my downloads?