Chaotic emergence and the language of thought

Philosophical Psychology

Volumn 11, Issue 3, 1998, Pages 303-315

  Garson, James W ^a  

^a UNIVERSITY OF HOUSTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0032220939     PISSN: 09515089     EISSN: None     Source Type: Journal    
DOI: 10.1080/09515089808573263     Document Type: Article

References (38)

1. BABLOYANTZ, A. & DESTEXHE, A. (1987). Strange attractors in the human cortex. In L. RENSING, U. AN DER HEIDEN & M. MACKEY (Eds) Temporal disorder in human oscillatory systems (pp. 48-56). Springer Series in Synergetics 36. New York: Springer.
2. BARNSLEY, M. & DEMKO, S. (1986). Chaotic dynamics and fractals. New York: Academic Press.
3. BECHTEL, W. & ABRAHAMSEN, A. (1990). Connectionism and the mind: an introduction to parallel processing in networks. Oxford: Blackwell.
4. BRAITENBERG, V. (1984). Vehicles: experiments in synthetic psychology. Cambridge, MA: MIT Press.
5. CONRAD, M. (1986). What is the use of chaos? In V. HOLDEN (Ed.) Chaos (pp. 3-14). Manchester: Manchester University Press.
6. CRUTCHFIELD, J. & YOUNG, K. (1990). Computation at the onset of chaos. In W. ZUREK (Ed.) Complexity, entropy, and physics of information. New York: Addison-Wesley.
7. CUMMINS, R. (1992). Conceptual role semantics and the explanatory role of content. Philosophical Studies, 65, 103-121.
8. FREEMAN, W. (1991). The physiology of perception. Scientific American, 264, 78-85.
9. FODOR, J. (1987). Psychosemantics. Cambridge, MA: MIT Press.
10. GALLEZ, D. & BABLIOYANTZ, A. (1991). Predictability of human EEG: a dynamical approach. Biological Cybernetics, 64, 381-391.
11. GARSON, J. (to appear). Making representations matter: a new challenge to their causal efficacy.
12. GILDEN, D. (1997). Fluctuations in the time required for elementary decisions. Psychological Science, 8, 296-301.
13. HENDEN, O., HORN, D. & USHER, M. (1991). Chaotic behavior of a neural network with dynamical thresholds. International Journal of Neural Systems, 1, 327-335.
14. HORGAN, T. & TIENSON, J. (1990). Soft laws. Midwest Studies in Philosophy, 15, 256-279.
15. HORGAN, T. & TIENSON, J. (1992). Cognitive systems as dynamical systems. Topoi, 11, 27-43.
16. HORGAN, T. & TIENSON, J. (1994). A nonclassical framework for cognitive science. Synthese, 101, 305-345.
17. HORGAN, T. & TIENSON, J. (1996). Connectionism and the Philosophy of Psychology. Cambridge, MA: MIT Press.
18. HUBERMAN, B.A. & HOGG, T. (1987). Phase transitions in artificial intelligence systems. Artificial Intelligence, 33, 155-172.
19. KAUFFMAN, S. (1991). Antichaos and adaptation. Scientific American, 265, 78-84.
20. KAUFFMAN, S. (1993) The origins of order. Oxford: Oxford University Press.
21. KOLATA (1984). Order out of Chaos in Computers. Science, March 2, 917-920.
22. LANGTON, C. (1991). Computation at the edge of chaos. In S. FORREST (Ed.) Emergent computation. Cambridge, MA: MIT Press.
23. MANDEL, A. & SELZ, K. (1991). Is the EEG a strange attractor? In C. GREBOGI & J. YORKE (Eds) The impact of chaos on science and society. Tokyo: United Nations University Press.
24. MPITSOS, G. (1989). Chaos in brain function and the problem of nonstationarity: a commentary. In E. BASAR & T. BULLOCK (Eds) Brain dynamics: progress and perspectives (pp. 521-538). New York: Springer.
25. NEWMAN, D. (to appear). Emergence and mind.
26. NICOLIS, J. (1989). Physics of far from equilibrium systems and self-organization. In P. DAVIES (Ed.) The new physics (pp. 319-347). Cambridge: Cambridge University Press.
27. POLLACK, J. (1989). Implications of recursive auto associative memories. In D. TOUREZKY (Ed.) Advances in neural information processing (pp. 527-536). San Francisco: Kaufmann.
28. POLLACK, J. (1990). Recursive distributed representations. Artificial Intelligence, 46, 77-106.
29. POLLACK, J. (1995). The induction of dynamical recognizers. In R. PORT & T. VAN GELDER (Eds) Mind as motion, Chapter 10. Cambridge, MA: MIT Press.
30. PORT, R. & VAN GELDER, T. (Eds) (1995). Mind as motion. Cambridge, MA: MIT Press.
31. RAPP, P., BASHORE, T., MARTINERIE, T., ALBANO, A., ZIMMERMAN, J. & MEES, A. (1989). Dynamics of brain electrical activity. Brain Topography, 2, 99-118.
32. SKARDA, C. & FREEMAN W. (1987). How brains make chaos in order to make sense of the world. Behavioral and Brain Sciences, 10, 161-195.
33. THEILER, J., EUBANK, S., LONGTIN, A., GALDRIKIAN, B. & FARMER, J. (1992). Testing for nonlinearity in time series: the method of surrogate data. Physica D, 58, 77-94.
34. VAN GELDER, T. (1990). Making conceptual space. In S. DAVIS (Ed.) Proceedings of the 1990 Connectionism Conference. Vancouver: Simon Fraser University Press.
35. VAN GELDER, T. (1995). What cognition might be, if not computation? Journal of Philosophy, 91, 345-381.
36. VAN GELDER, T. (1998). The dynamical hypothesis in cognitive science. Behavioral and Brain Sciences (to appear).
37. VAN GELDER, T. & PORT, R. (1993). Beyond symbolic: prolegomena to a kama-sutra of compositionality. In V. HONAVAAR & L. UHR (Eds) Symbol processing and connectionist models in AI and cognition: steps towards integration. New York: Academic Press.
38. ZAK, M. (1990). Creative dynamics approach to neural intelligence. Biological Cybernetics, 64, 15-23.