Meaning in Artificial Agents: The Symbol Grounding Problem Revisited
Minds and Machines 22 (1):25-34 (2012)
| Abstract | The Chinese room argument has presented a persistent headache in the search for Artificial Intelligence. Since it first appeared in the literature, various interpretations have been made, attempting to understand the problems posed by this thought experiment. Throughout all this time, some researchers in the Artificial Intelligence community have seen Symbol Grounding as proposed by Harnad as a solution to the Chinese room argument. The main thesis in this paper is that although related, these two issues present different problems in the framework presented by Harnad himself. The work presented here attempts to shed some light on the relationship between John Searle’s intentionality notion and Harnad’s Symbol Grounding Problem | |||||||||
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Stevan Harnad (1989). Minds, Machines and Searle. Journal of Experimental and Theoretical Artificial Intelligence 1 (4):5-25.
Stevan Harnad (1995). Grounding Symbols in Sensorimotor Categories with Neural Networks. Institute of Electrical Engineers Colloquium on "Grounding Representations.
Mariarosaria Taddeo & Luciano Floridi (2008). A Praxical Solution of the Symbol Grounding Problem. Minds and Machines.
Stevan Harnad, Symbol Grounding is an Empirical Problem: Neural Nets Are Just a Candidate Component.
Stevan Harnad (2001). What's Wrong and Right About Searle's Chinese Room Argument? In Michael A. Bishop & John M. Preston (eds.), [Book Chapter] (in Press). Oxford University Press.
Karl F. MacDorman (1998). Feature Learning, Multiresolution Analysis, and Symbol Grounding. Behavioral and Brain Sciences 21 (1):32-33.
C. Franklin Boyle (2001). Transduction and Degree of Grounding. Psycoloquy 12 (36).
Dale Jacquette (1990). Fear and Loathing (and Other Intentional States) in Searle's Chinese Room. Philosophical Psychology 3 (2 & 3):287-304.
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