Content and its vehicles in connectionist systems

Mind and Language

Volumn 22, Issue 3, 2007, Pages 246-269

  Shea, Nicholas ^a,b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b SOMERVILLE COLLEGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34248597891     PISSN: 02681064     EISSN: 14680017     Source Type: Journal    
DOI: 10.1111/j.1468-0017.2007.00308.x     Document Type: Article

References (37)

1. Bechtel, W. and A. Abrahamsen. 2002 : Connectionism and the Mind, 2nd edn. Oxford : Blackwell.
2. Calvo Garzón, F. 2003 : Connectionist semantics and the collateral information challenge. Mind & Language, 18, 77 94.
3. Churchland, P.M. 1981 : Eliminative materialism and the propositional attitudes. Journal of Philosophy, 78, 67 90.
4. Churchland, P.M. 1998 : Conceptual similarity across sensory and neural diversity: the Fodor/Lepore challenge answered. Journal of Philosophy, 95, 5 32.
5. Churchland, P.S. and T.J. Sejnowski. 1989 : Neural representation and neural computation. In L. Nadel, L. Cooper, P. Culicover and R.M. Harnish (eds Neural Connections, Mental Computations. Cambridge, MA : MIT Press.
6. Churchland, P.S. and T.J. Sejnowski. 1992 : The Computational Brain. Cambridge, MA : MIT Press.
7. Clark, A. 1993 : Associative Engines. Cambridge, MA : MIT Press.
8. Clark, A. 1996 : Dealing in futures: folk psychology and the role of representations in cognitive science. In R. McCauley (ed The Churchlands and Their Critics. Cambridge, MA : Blackwell.
9. Clark, A. 2001 : Mindware. Oxford : Oxford University Press.
10. Cottrell, G.W. and J. Metcalfe. 1991 : Empath: face, gender and emotion recognition using holons. In R.P. Lippman, J. Moody, and D.S. Touretzky (eds Advances in Neural Information Processing Systems 3, 564 571. San Mateo, CA : Morgan Kaufmann.
11. Cummins, R. 1997 : The lot of the causal theory of mental content. Journal of Philosophy, 94, 535 542.
12. Dawson, M. and C.D. Piercey 2001 : On the subsymbolic nature of a PDP architecture that uses a nonmontonic activation function. Minds and Machines, 11, 197 218.
13. Dawson, M., Medler, D.A., McCaughan, D.B., Willson, L. and Carbonaro, M. 2000 : Using extra output learning to insert a symbolic theory into a connectionist network. Minds and Machines, 10, 171 201.
14. Dennett, D.C. 1987 : The Intentional Stance. Cambridge, MA : MIT Press.
15. Eliasmith, C. 2003 : Moving beyond metaphors: understanding the mind for what it is. Journal of Philosophy, 493 520.
16. Elman, J. 1990 : Finding structure in time. Cognitive Science, 14, 179 212.
17. Elman, J. 1991 : Incremental learning, or the importance of starting small. Technical report 9101, Center for Research in Language, UCSD. Described in detail in Clark, 1993, pp. 138 142.
18. Fodor, J. and E. Lepore. 1999 : All at sea in semantic space: Churchland on meaning similarity. Journal of Philosophy, 96, 381 403.
19. Fodor, J. 1998 : Concepts: Where Cognitive Science Went Wrong. Oxford : Clarendon Press.
20. Fodor, J. 2000 : The Mind Doesn't Work That Way. Cambridge, MA : MIT Press.
21. Fodor, J.A. and Z.W. Pylyshyn. 1988 : Connectionism and cognitive architecture: a critical analysis. Cognition 28, 3 71.
22. Hinton, G. 1989 : Connectionist learning procedures. Artificial Intelligence, 40, 185 234.
23. Karmiloff-Smith, A. 1994 : Précis of: Beyond Modularity: A Developmental Perspective. Behavioural and Brain Sciences, 17, 693 745.
24. Laakso, A. and G. Cottrell. 2000 : Content and cluster analysis: assessing representational similarity in neural systems. Philosophical Psychology, 13, 47 76.
25. Laurence, S. and E. Margolis. 2002 : Radical concept nativism. Cognition, 86, 25 55.
26. Lehky, S. and T. Sejnowski. 1987 : Extracting 3-D curvatures from images using a neural model. Society for Neuroscience Abstracts, 13, 1451.
27. Lehky, S. and T. Sejnowski. 1988 : Neural network model for the representation of surface curvature from images of shaded surfaces. In J. Lund (ed Organising Principles of Sensory Processing. Oxford : Oxford University Press.
28. Mozer, M. and P. Smolensky. 1989 : Using relevance to reduce network size automatically. Connection Science, 1, 3 17.
29. O'Brien, G. and Opie, J. 2001 : Connectionist vehicles, structural resemblance, and the phenomenal mind. In J. Veldeman (ed Naturalism and the Phenomenal Mind, a special issue of Communication and Cognition, 34, 13 38.
30. Pollack, J. 1990 : Recursive distributed representations. Artificial Intelligence, 46, 77 105.
31. Ramsey, W., S. Stich and J. Garon. 1990 : Connectionism, eliminativism, and the future of folk psychology. Philosophical Perspectives, 4, 499 533. Repr. in C. MacDonald and G. MacDonald (eds Connectionism: Debates in Psychological Explanation, 1995. Oxford : Blackwell.
32. Rolls, E. and A. Treves. 1998 : Neural Networks and Brain Function. Oxford : Oxford University Press.
33. Rupert, R. 2001 : Coining terms in the language of thought. Journal of Philosophy, 98, 499 530.
34. Sejnowski, T. and C. Rosenberg. 1987 : Parallel networks that learn to pronounce English text. Complex Systems, 1, 145 168.
35. Smolensky, P. 1988 : On the proper treatment of connectionism. Behavioural and Brain Sciences, 11, 1 74.
36. Tiffany, E. 1999 : Semantics San Diego style. Journal of Philosophy, 96, 416 429.
37. Usher, M. 2001 : A statistical referential theory of content: using information theory to account for misrepresentation. Mind & Language, 16, 311 334.