The homeostat as embodiment of adaptive control

International Journal of General Systems

Volumn 38, Issue 2, 2009, Pages 139-154

  Cariani, Peter A ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Cybernetics; General systems theory; Homeostat; Requisite variety; W. Ross Ashby

Indexed keywords

CYBERNETICS; OBSERVABILITY; SYSTEM STABILITY; SYSTEM THEORY;

ADAPTIVE CONTROLS; ADAPTIVE NETWORKS; ALTERNATIVE STRUCTURES; COMPLEX PROBLEMS; ENVIRONMENTAL PERTURBATIONS; FUNCTIONAL ARCHITECTURES; GENERAL PURPOSE; GENERAL SYSTEMS THEORY; HOMEOSTAT; INTERNAL STATE; OPERATIONAL STRUCTURES; REQUISITE VARIETY; SCALE-UP; W. ROSS ASHBY;

ADAPTIVE CONTROL SYSTEMS;

EID: 60749100097     PISSN: 03081079     EISSN: 15635104     Source Type: Journal    
DOI: 10.1080/03081070802633593     Document Type: Article

References (61)

1. Arbib, M.A., 1972. The metaphorical brain: an introduction to cybernetics as artificial intelligence and brain theory, New York: Wiley-Interscience.
2. Asaro, P., 2006. Working models and the synthetic method: electronic brains as mediators between neurons and behavior, Special Issue on Models and Simulations. In: T. Knuuttila, E. Mattila, and M. Merz, eds. Science studies, 19 (1), 12-34.
3. Asaro, P.M., 2008a. Information and regulation in robots, perception and consciousness: Ashby's embodied minds. International journal of general systems, 38, 111-128.
4. Asaro, P.M., 2008b. From mechanisms of adaptation to intelligence amplifiers: the philosophy of W. Ross Ashby. In: P. Husbands, O. Holland, and M. Wheeler, eds. The mechanical mind in history. Cambridge, MA: MIT Press, 149-184.
5. Asaro, P.M., forthcoming. Computers as models of the mind: on simulations, brains and the design of early computers. In: S. Franchi and F. Bianchini, eds. Towards an archeaology of artificial intelligence. New York: Springer.
6. Ashby, W.R., 1948. The homeostat. Electronic engineering, 20, 380.
7. Ashby, W.R., 1952a. Can a mechanical chess-player outplay its designer? British journal for the philosophy of science, 3, 44-57, reprinted in Conant, R., ed., 1981.
8. Ashby, W.R., 1952b. Design for a brain. 1st ed. London: Chapman & Hall.
9. Ashby, W.R., 1956. An introduction to cybernetics, London: Chapman & Hall.
10. Ashby, W.R., 1960. Design for a brain. 2nd ed. London: Chapman & Hall. Unless otherwise noted, all general references to this book are to this edition.
11. Ashby, W.R., 1962. Principles of the self-organizing system. In: H. von Foerster and G.W. Zopf, eds. Principles of self-organization. New York: Pergamon Press, 255-278, reprinted in Buckley, W., ed., 1968.
12. Ashby, W.R., 1967a. The brain of yesterday and today. 1967 IEEE convention record, 15 (9), 30-33, reprinted in Conant, ed., 1981.
13. Ashby, W.R., 1967b. The set theory of mechanism and homeostasis. In: D.J. Stewart, ed. Automaton theory and learning systems. London: Academic Press, 27-51, reprinted in Conant, ed., 1981.
14. Ashby, W.R., 1972. Analysis of the system to be modeled. In: R.M. Stogdill, ed. The process of model-building in the behavioral sciences. New York: W.W. Norton, 78-97, reprinted in Conant, R., ed., 1981.
15. Bassett, D.S. and Bullmore, E., 2006. Small-world brain networks. Neuroscientist, 12 (6), 512-523.
16. Bird, J. and Di Paolo, E., 2008. Gordon Pask and his maverick machines. In: P. Husbands, O. Holland, and M. Wheeler, eds. The mechanical mind in history. Cambridge, MA: MIT Press, 185-211.
17. Bridgman, P.W., 1931. Dimensional analysis. New Haven: Yale University Press.
18. Buckley, W., ed., 1968. Modern systems research for the behavioral scientist: a sourcebook. Chicago: Aldine.
19. Carello, C., Turvey, M.T., Kugler, P.N. and Shaw, R.E., 1984. Inadequacies of the computational metaphor. In: M. Gazzaniga, ed. Handbook of cognitive neuroscience. New York: Plenum Press, 229-248.
20. Cariani, P., 1989. On the design of devices with emergent semantic functions. Thesis (PhD). State University of New York, Binghamton.
21. Cariani, P., 1992. Emergence and artificial life. In: C.G. Langton, C. Taylor, J.D. Farmer, and S. Rasmussen, eds. Artificial life II. Volume X, Santa Fe institute studies in the science of complexity. Redwood City, CA: Addison-Wesley, 775-798.
22. Cariani, P., 1993. To evolve an ear: epistemological implications of Gordon Pask's electrochemical devices. Systems research, 10 (3), 19-33.
23. Cariani, P., 2000. Regenerative process in life and mind. Annals of the New York Academy of Sciences, 91, 26-34.
24. Cariani, P., 2001. Symbols and dynamics in the brain. Biosystems, 60 (1-3), 59-83.
25. Cariani, P., 2004. Temporal codes and computations for sensory representation and scene analysis. Special Issue on Temporal coding for neural information processing. IEEE transactions on neural networks, 15 (5), 1100-1111.
26. Conant, R., ed., 1981. Mechanisms of intelligence: Ross Ashby's writings on cybernetics. Seaside, CA: Intersystems Publications.
27. Conway, F. and Siegelman, J., 2005. Dark hero of the information age: in search of Norbert Wiener, the father of cybernetics. New York: Basic Books.
28. de Latil, P., 1956. Thinking by machine. Boston, MA: Houghton Mifflin.
29. Dupuy, J.P., 2000. The mechanization of the mind: on the origins of cognitive science. Princeton, NJ: Princeton University Press.
30. Edelman, G.M., 1987. Neural Darwinism: the theory of neuronal group selection. New York: Basic Books.
31. Geoghehan, M.C. and Pangaro, P., 2008. Design for a self-regenerating organization. International journal of general systems, 38, 155-173.
32. Hawkins, J. and Blakeslee, S., 2004. On intelligence. 1st ed. New York: Times Books.
33. Heims, S.J., 1991. The cybernetics group. Cambridge, MA: MIT Press.
34. Hertz, H., 1894. Principles of mechanics. New York: Dover, 1956 reprint edition.
35. Kilmer, W. and McCulloch, W.S., 1969. The reticular formation command and control system. In: K.N. Leibovic, ed. Information processing in the nervous system. New York: Springer-Verlag, 297-307.
36. Klir, G., 1969. An approach to general systems theory. New York: Van Nostrand.
37. Klir, G.J. and Elias, D., 2003. Architecture of systems problem solving. 2nd ed. New York: Kluwer Academic/Plenum Publishers.
38. Mackay, D.M., 1969. Information, mechanism and meaning. Cambridge, MA: MIT Press.
39. Maturana, H. and Varela, F., 1973. Autopoiesis: the organization of the living. In: H. Maturana and F. Varela, eds. Autopoiesis and cognition. Dordrecht, Holland: D. Reidel.
40. Mingers, J., 1995. Self-producing systems. New York: Plenum Press.
41. Morrell, F., 1967. Electrical signs of sensory coding. In: G.C. Quartern, T. Melnechuck, and F.O. Schmitt, eds. The neurosciences: a study program. New York: Rockefeller University Press, 452-469.
42. Murdoch, D., 1987. Niels Bohr's philosophy of physics. Cambridge, MA: Cambridge University Press.
43. Pask, G., 1958. Physical analogues to the growth of a concept. Mechanization of thought processes. Symposium 10, National Physical Laboratory, 24-27 November. London: HMSO, 765-794.
44. Pask, G., 1960. The natural history of networks. In: M.C. Yovits and S. Cameron, eds. Self-organzing systems. New York: Pergamon Press, 232-263.
45. Pask, G., 1961. An approach to cybernetics. New York: Harper & Brothers.
46. Pattee, H.H., 1982. Cell psychology: an evolutionary view of the symbol-matter problem. Cognition and brain theory, 5, 325-341.
47. Pattee, H.H., 1985. Universal principles of measurement and language functions in evolving systems. In: J.L. Casti and A. Karlqvist, eds. Complexity, language, and life: mathematical approaches. Berlin: Springer-Verlag, 268-281.
48. Pickering, A., 2002. Cybernetics and the mangle: Ashby, Beer and Pask. Social studies of science, 32 (3), 413-437.
49. Pickering, A., 2008. Psychiatry, synthetic brains and cybernetics in the work of W. Ross Ashby. International journal of general systems, 38, 213-230.
50. Pitts, W. and McCulloch, W.S., 1947. How we know universals: the perception of auditory and visual forms. The bulletin of mathematical biophysics, 9, 127-147.
51. Powers, W., 1973. Behavior: the control of perception. New York: Aldine.
52. Reichardt, W., 1961. Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. In: W.A. Rosenblith, ed. Sensory communication. New York: MIT Press/John Wiley, 303-317.
53. Schrödinger, E., 1945. What is life? The physical aspect of the living cell. Cambridge, MA: Cambridge University Press.
54. Sommerhof, G., 1974. Logic of the living brain. London: John Wiley.
55. Sommerhoff, G., 1968. Purpose, adaptation, and "directive correlation" (excerpt from Analytical Biology, 1950, Oxford University Press). In: W. Buckely, ed. Modern systems research for the behavioral scientist: a sourcebook. Chicago: Aldine, 281-295.
56. van Fraassen, B.C., 1980. The scientific image. Oxford: Oxford University Press.
57. von Neumann, J., 1948. Re-evaluation of the problems of complicated automata-problems of hierarchy and evolution. In: W. Aspray and A. Burks, eds. Papers of John von Neumann on computing and computer theory. Cambridge, MA: MIT Press, 477-490.
58. von Neumann, J., 1951. The general and logical theory of automata. In: L.A. Jeffress, ed. Cerebral mechanisms of behavior (The Hixon Symposium). New York: Wiley, 1-41 (Also reprinted in Buckley, W., 1968).
59. Weinberg, G., 1975. An introduction to general systems thinking. New York: Wiley-Interscience.
60. Wiener, N., 1948. Cybernetics. New York: Wiley.
61. Zeleny, M., ed., 1981. Autopoiesis, a theory of living organizations. New York: North Holland.