David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
The issue of symbol grounding is not essentially different in analog and digital computation. The principal difference between the two is that in analog computers continuous variables change continuously, whereas in digital computers discrete variables change in discrete steps (at the relevant level of analysis). Interpretations are imposed on analog computations just as on digital computations: by attaching meanings to the variables and the processes defined over them. As Harnad (2001) claims, states acquire intrinsic meaning through their relation to the real (physical) environment, for example, through transduction. However, this is independent of the question of the continuity or discreteness of the variables or the transduction processes.
|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
Bruce J. MacLennan (1993). Grounding Analog Computers. Philosophical Explorations 2:8-51.
C. Franklin Boyle (2001). Transduction and Degree of Grounding. Psycoloquy 12 (36).
Corey J. Maley (2011). Analog and Digital, Continuous and Discrete. Philosophical Studies 155 (1):117-131.
Stevan Harnad (1992). Connecting Object to Symbol in Modeling Cognition. In A. Clark & Ronald Lutz (eds.), Connectionism in Context. Springer-Verlag 75--90.
Bruce J. MacLennan (1994). Words Lie in Our Way. Minds and Machines 4 (4):421-37.
Russell Trenholme (1994). Analog Simulation. Philosophy of Science 61 (1):115-131.
Gualtiero Piccinini & Sonya Bahar (2013). Neural Computation and the Computational Theory of Cognition. Cognitive Science 37 (3):453-488.
Matthew Katz (2008). Analog and Digital Representation. Minds and Machines 18 (3):403-408.
John Haugeland (1981). Analog and Analog. Philosophical Topics 12 (1):213-226.
Mary Litch (1997). Computation, Connectionism and Modelling the Mind. Philosophical Psychology 10 (3):357-364.
Karl F. MacDorman (1998). Feature Learning, Multiresolution Analysis, and Symbol Grounding. Behavioral and Brain Sciences 21 (1):32-33.
Added to index2010-12-22
Total downloads5 ( #499,021 of 1,792,914 )
Recent downloads (6 months)1 ( #464,717 of 1,792,914 )
How can I increase my downloads?