The intentional spring: A strategy for modeling systems that learn to perform intentional acts

Journal of Motor Behavior

Volumn 24, Issue 1, 1992, Pages 3-28

  Shaw, Robert E ^a   Kadar, Endre ^a   Sim, Mikyoung ^a   Repperger, Daniel W ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Adjoint control; Intention; Learning

Indexed keywords

EID: 0002074719     PISSN: 00222895     EISSN: 19401027     Source Type: Journal    
DOI: 10.1080/00222895.1992.9941598     Document Type: Article

References (58)

1. Beek, P. (1988). Exploring the dynamics of juggling. In A. M. Colley & J. R. Beech (Eds.), Cognition and action in skilled behavior (pp. 229-246). Amsterdam: North-Holland.
2. Beek, P. J., & Beek, W. J. (1988). Tools for constructing dynamical models of rhythmic movement. Human Movement Science, 7, 301-342.
3. Bellman, R. E. (1973). Methods of nonlinear analysis. New York: Academic Press.
4. Bernstein, N. (1967). The coordination and regulation of movements. Oxford: Pergamon Press.
5. Bizzi, E. (1980). Central and peripheral mechanisms in motor control. In G. E. Stelmach & J. Requin (Eds.), Tutorials in motor behavior (pp. 131-144). Amsterdam: North-Holland.
6. Boyce, W., & DiPrima, R. (1986). Elementary differential equations and boundary value problems. New York: Wiley.
7. Bransford, J. D., Stein, B. S., Shelton, T. S., & Owings, R. A. (1981). Cognition and adaptation: The importance of learning to learn. In J. H. Harvey (Ed.), Cognition, social behavior, and the environment. Hillsdale, NJ: Erlbaum.
8. Cooke, J. D. (1980). The organization of simple, skilled movements. In G. E. Stelmach & J. Requin (Eds.), Tutorials in motor behavior (pp. 199-209). Amsterdam: North- Holland.
9. Courant, R., & Hilbert, D. (1937). Method of mathematical physics, 1. New York: Interscience Publishers.
10. Einstein, A., & Infeld, L. (1938). The evolution of physics. New York: Simon and Schuster.
11. Eller, D. H., Aggarwal, J. K., & Banks, H. T. (1969). Optimal control of linear time delay systems. IEEE Transactions on Automatic Control, AC-14, 678-687.
12. Feldman, A. G. (1966a). Functional tuning of the nervous system with control of movement or maintenance of a steady posture. II. Controllable parameters of the muscle. Biophysics, 11, 565-578.
13. Feldman, A. G. (1966b). Functional tuning of the nervous system with control of movement or maintenance of a steady posture. III. Mechanographic analysis of execution by man of the simplest motor task. Biophysics, 11, 766-775.
14. Feldman, A. G. (1980). Superposition of motor programs: I. Rhythmic forearm movements in man. Neuroscience, 5, 81-90.
15. Feldman, A. G. (1986). Once more on the equilibrium-point hypothesis (X model) for motor control. Journal of Motor Behavior, 18, 17-54.
16. Fodor, J. A., & Pylyshyn, Z. (1988). Connectionism and cognitive architecture: A critical analysis. In S. Pinker & J. Mehler (Eds.), Connections and symbolsl (pp. 3-71). Cambridge, MA: MIT Press.
17. Fre'chet, M. (1925). L’analyse ge’ne’rale et les ensembles abstraits [General analysis and abstract sets]. Revue de metaphysique et morale. Vol. 32
18. Fung, C. (1981). Biomechanics: Mechanical properties of living tissue. New York: Springer-Verlag.
19. Golden, J. M., & Graham, G. A. C. (1988). Boundary value problems in linear viscoelasticity. New York: SpringerVerlag.
20. Gibson, J. J. (1966). The senses considered as perceptual systems. Boston: Houghton Mifflin.
21. Gibson, J. I. (1979). The ecological approach to visual perception. Boston: Houghton Mifflin.
22. Hinton, G. (1984). Some computational solutions to Bernstein’s problems. In H. T. A. Whiting (Ed.), Human motoractions: Bernstein revisited (pp. 413-438). Amsterdam: North-Holland.
23. Kalman, R. E., Englar, T. S., & Bucy, R. S. (1962). Fundamental study of adaptive control systems. ASD- TR-61-27, 1.
24. Kelso, J. A. S., & Kay, B. A. (1987). Information and control: A macroscopic analysis of perception-action coupling. In H. Heuer & A. F. Sanders (Eds.), Tutorials in perception and action (pp. 3-32). Amsterdam: North-Holland.
25. Kelso, J. A. S., Sholz, J. P., & Schoner, G. (1986). Nonequilibrium phase transitions in coordinated biological motion: Critical fluctuations. Physics Letters, 118, 279-284.
26. Kramer, E. E. (1970). The nature and growth of modern mathematics. New York: Hawthorn.
27. Kugler, P. N., & Shaw, R. E. (1990). Symmetry and symmetry-breaking in thermodynamic and epistemic engines. A coupling of First and second laws. In H. Haken & M. Stadter (Eds.), Synergetics of cognition (pp. 296-330). Proceedings of the International Symposium at Sloss Elmau, Bavaria, June 4-8, 1989.
28. Kugler, P. N., Shaw, R. E., Vicente, K. J., & Kinsella-Shaw, J. M. (1990). Inquiry into intentional systems. I: Issues in ecological physics. Psychological Research, 52, 98-121.
29. Kugler, P. N., & Turvey, M. T. (1987). Information, natural law, and the self-assembly of rhythmic movement: Theoretical and experimental investigations. Hillsdale, NJ: Erlbaum.
30. Lanczos, C. (1961). Linear differential operators. London: D. Van Nostrand.
31. Lindsay, R. B., & Margenau, H. (1957). Foundations of physics. New York: Dover.
32. Newell, K. M. (1991). Motor skill acquisition. Annual Review of Psychology, 42, 213-237.
33. Picard, E. (1907). La mecanique classique et ses approximations successives [Classical mechanics and its successive approximations]. Revista di scienza, 1, 4-15.
34. Repperger, D. W. (1974). An algorithm for the computation of the minimum energy solution of systems with retardation. The International Journal of Control, 19, 1047-11055.
35. Repperger, D. W., & Koivo, A. J. (1974). On stable forward filtering and fixed-lag smoothing in a class of systems with time delay. IEEE Transactions on Automatic Control, AC-19, 266-268.
36. Repperger, D., & Shaw, R. E. (1990). An adjoint systems approach to learning and transfer of training: 2. Mathematical formulation. PA W Review: A Technical Report of the Perceiving Acting Workshop in Ecological Psychology.
37. Runeson, S., & Frykholm, G. (1981). Visual perception of lifted weight. Journal of Experimental Psychology: Human Perception and Performance, 8, 733-740.
38. Schmidt, R. C., Carello, C., & Turvey, M. T. (1990). Phase transitions and critical fluctuations in the visual coordination of rhythmic movements between people. Journal of Experimental Psychology: Human Perception and Performance, 16, 227-247.
39. Shaw, R. E. (1987). Behavior with purpose. Contemporary Psychology, 3, 243-245.
40. Shaw, R. E., & Alley, T. R. (1985). How to draw learning curves: Their use and justification. In T. D. Johnston & A. T. Pietrewicz (Eds.), issues in ecological study of learning (pp. 275-443). Hillsdale, NJ: Erlbaum.
41. Shaw, R. E., & Carolan, T. (1988). Adjoint optimal control. Behavioral and Brain Sciences, 11, 146-147.
42. Shaw, R. E., & Kinsella-Shaw, J. M. (1988). Ecological mechanics: A physical geometry for intentional constraints. Human Movement Science, 7, 155-200.
43. Shaw, R. E., Kugler, P. N., & Kinsella-Shaw, J. M. (1990). Reciprocities of intentional systems. In R. Warren & A. Wertheim (Eds.), Control of self-motion (pp. 579-619). Hillsdale, NJ: Erlbaum.
44. Shaw, R. E., & Mingolla, E. (1982). Ecologizing world graphs. Behavioral and Brain Sciences, 5, 648-650.
45. Shaw, R. E., & Repperger, D. (1989a). An adjoint systems approach to learning and transfer of training: 1. Introduction. PA W Review: A Technical Report of the Perceiving-Acting Workshop in Ecological Psychology.
46. Shaw, R. E., & Repperger, D. (1989b). An adjoint systems approach to learning and transfer of training: 3. Formulation and support for the learning model. PA W Review: A Technical Report of the Perceiving-Acting Workshop in Ecological Psychology.
47. Shaw, R. E., & Todd, J. (1980). Abstract machine theory and direct perception. Behavioral and Brain Sciences, 3, 400-401.
48. Shaw, R. E., & Turvey, M. T. (1981). Coalitions as models of ecosystems: A realist perspective on perceptual organization. In M. Kubovy & J. Pomerantz (Eds.), Perceptual organization (pp. 343-415). Hillsdale, NJ: Erlbaum.
49. Shaw, R. E., Turvey, M. T., & Mace, W. M. (1982). Ecological psychology: The consequences of a commitment to realism. In W. Weimer & D. S. Palermo (Eds.), Cognition and the symbolic processes II (pp. 159-226). Hillsdale, NJ: Erlbaum.
50. Smith, T. J., & Smith, K. U. (1987). Feedback control systems of human behavior. In G. Salvendy (Ed.), Handbook of human factors (pp. 251-309). New York: Wiley.
51. Solomon, H. Y. (1988). Movement-produced invariants in haptic explorations: An example of a self-organizing, information-driven, intentional system. Human Movement Science, 7, 201-223.
52. Solomon, H. Y., Turvey, M. T., & Burton, G. (1989). Gravitational and muscular variables in perceiving extent by wielding. Ecological Psychology, 1, 265-300.
53. Strang, G. (1986). Introduction to applied mathematics. Wellesley, MA; Wellesley Cambridge Press.
54. Synge, J. L. (1970). Talking about reality. Amsterdam: North- Holland.
55. Tricomi, F. G. (1957). Integral equations. New York: Dover.
56. Turvey, M. T., & Shaw, R. E. (1979). The primacy of perceiving: An ecological reformulation of perception for understanding memory. In L.-G. Nilsson (Ed.), Perspectives on memory research (pp. 167-222). Hillsdale, NJ: Erlbaum.
57. Weiss, L. (1970). An algebraic criterion for controllability of linear systems with time delay. IEEE Transactions on Automatic Control, AC-15, 443-444.
58. Whiting, H. T. A. (Ed., 1984). Human motor actions: Bernstein Revisited. Amsterdam: North-Holland.