Moving the goal posts: A reply to Dawson and Piercey

Minds and Machines

Volumn 16, Issue 4, 2006, Pages 471-478

  Berkeley, Istvan S N ^a  

^a UNIVERSITY OF LOUISIANA AT LAFAYETTE   (United States)

Author keywords

Artificial neural network anaylysis; Lesioning studies; Subsymbolic systems; Symbol systems

Indexed keywords

FORMAL LOGIC; NETWORK MANAGEMENT; THRESHOLD ELEMENTS;

ARTIFICIAL NEURAL NETWORK ANAYLYSIS; LESIONING STUDIES; SUBSYMBOLIC SYSTEMS; SYMBOL SYSTEMS;

NEURAL NETWORKS;

EID: 34248339995     PISSN: 09246495     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11023-006-9048-9     Document Type: Article

References (11)

1. Bechtel W, Abrahamsen A (1991) Connectionism and the mind. Blackwells, Cambridge MA
2. Berkeley I (2000) What the #$*%! is a subsymbol? Minds Machines 10:1-13
3. Berkeley I, Dawson M, Medler D, Schopflocher D, Hornsby L (1995) Density plots of hidden value unit activations reveal interpretable bands. Connect Science 7:167-186
4. Berkeley I, Gunay C (2004) Conducting banding analysis with trained networks of sigmoid units. Connect Science 76:119-128
5. Dawson M (2004) Mind and machines: connectionism and psychological modeling. Blackwells, Cambridge MA
6. Dawson M, Piercey C (2001) On the subsymbolic nature of a PDP architecture that uses a nonmonotonic activation function. Minds Machines 11:197-218
7. Dawson M, Schopflocher D (1992) Modifying the generalized delta rule to train networks of nonmonotonic processors for pattern classification. Connect Science 4:19-31
8. Newell A (1980) Physical symbol systems. Cognitive Science 4:135-183
9. Newell A, Simon H (1976). Computer science as empirical inquiry: symbols and search. Commun ACM 19:113-126
10. Hinton G (1986) Learning distributed representations of concepts. Paper presented at the 8th Annual Meeting of the Cognitive Science Society, Ann Arbor, MI
11. Vera A, Simon H (1994) Reply to Touretzky and Pomerleau: reconstructing physical symbol systems. Cognitive Science 18(2):355-360