Christopher D. Green (1998) Of Neurons and Connectionist Networks
. Psycoloquy: 9(16) Connectionist Explanation (13)
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Psycoloquy 9(16): Of Neurons and Connectionist Networks
OF NEURONS AND CONNECTIONIST NETWORKS
Reply to Hoffman on Connectionist-Explanation
Christopher D. Green
Department of Psychology
York University
Toronto, Ontario M3J 1P3
Canada
http://www.yorku.ca/faculty/academic/christo
christo@yorku.ca
Abstract
Hoffman (1998) tells us of a number of difficulties
connectionists may face in any attempt to model neural activity
with connectionist networks. I have no reason to doubt that, but it
is more of a problem for connectionists than it is for my argument
(Green 1998).
Keywords
artificial intelligence, cognition, computer modelling,
connectionism, epistemology, explanation, methodology, neural nets,
philosophy of science, theory.
References
- Green, C. D. (1998) Are connectionist models theories of cognition? PSYCOLOQUY 9(4) ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/ psyc.98.9.04.connectionist-explanation.1.green
- Hoffman, W. C. (1998) Are neural nets a valid model of cognition: Commentary on Green on connectionist-explanation. PSYCOLOQUY 9(12) psyc.98.9.12.connectionist-explanation.9.hoffman ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
- Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) Learning internal representations by error propagation. In: Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 1), ed. Rumelhart, D. E. & McClelland, J. L., MIT Press.
- Werbos, P. (1974) Beyond regression: New tools for prediction and analysis in the behavioral sciences. Unpublished doctoral dissertation. Harvard University.