Graduate studies at Western
|Abstract||In this commentary on Harnad's "Grounding Symbols in the Analog World with Neural Nets: A Hybrid Model," the issues of symbol grounding and analog (continuous) computation are separated, it is argued that symbol graounding is as important an issue for analog cognitive models as for digital (discrete) models. The similarities and differences between continuous and discrete computation are discussed, as well as the grounding of continuous representations. A continuous analog of the Chinese Room is presented|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Similar books and articles
Russell Trenholme (1994). Analog Simulation. Philosophy of Science 61 (1):115-131.
Rahul Sarpeshkar (1998). Analog Versus Digital: Extrapolating From Electronics to Neurobiology. Neural Computation 10 (7):1601--1638.
Bruce J. MacLennan (1994). Words Lie in Our Way. Minds and Machines 4 (4):421-37.
C. Franklin Boyle (2001). Transduction and Degree of Grounding. Psycoloquy 12 (36).
Karl F. MacDorman (1998). Feature Learning, Multiresolution Analysis, and Symbol Grounding. Behavioral and Brain Sciences 21 (1):32-33.
Corey J. Maley (2011). Analog and Digital, Continuous and Discrete. Philosophical Studies 155 (1):117-131.
Added to index2009-01-28
Total downloads35 ( #39,282 of 739,352 )
Recent downloads (6 months)5 ( #17,125 of 739,352 )
How can I increase my downloads?