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"Natural
solutions to complex problems" |
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About twenty years ago the BBC
broadcast a brilliant documentary film “Animal Olympians”, which has
continued to inspire me. It shows a wide range of species, including
humans, performing natural skilled acts, and reveals how similar we
animals are in how we move. It is evident that there must be some
simple universal principles of movement. My quest to discover those
principles led to developing General Theory. My talk will be about
the principles underpinning natural purposive movements and about
how those principles, encapsulated in the equations of General Theory,
operate in athletic, musical and other learned skills. I will start
by outlining the elements of the theory. General Purposive action is goal-directed and requires prospective control, control with an eye to the future. This requires setting up in the nervous system action-formulae to prescribe essential elements of the trajectory of the action (Bernstein 1967), to ensure that the prescribed trajectory does not exceed the animal's physical power. For instance, when running toward a cliff edge, an animal needs to regulate its deceleration adequately ahead of reaching the edge to avoid running out of braking power and so falling. Purposive action also requires prospective perceptual monitoring. Moving the body, or part of it, requires interacting with external forces, such as gravity, wind, currents and friction, which are not wholly predictable. Therefore, to keep the action on its prescribed trajectory, an animal needs to pick up, through its perceptual systems, prospective information about where the action is actually heading and adjust the power to its muscles to keep it on course (Gibson 1966; Bernstein 1967). A bird landing on a twig in gusty weather is a wonderful demonstration of precise prospective control of purposive action. When performing an action, the information in the action-formula guiding the action has to be speedily coupled with the information from the perceptual systems monitoring the action. It would be efficient, therefore, if the two types of information were in the same 'currency', i.e., expressed in common informational variable. General theory of action guidance (Lee 1998) indicates what the common informational variable is. Given that all purposeful action entails controlling the closure of action-gaps between the current states an animal is in and the goal states to be achieved, the theory shows that an informational variable that is both necessary and sufficient for regulating the closure of an action-gap is the function of the gap. This equals the time-to-closure of the action-gap at the current closure-rate, or the current size of the gap divided by its current rate of change. Thus, is a prospective informational variable with the dimension time - no matter what the dimension of the action-gap itself is (distance, angle, force etc). Furthermore, of an action-gap, A, is, in principle, directly specified in all known sensory fields, by virtue of being proportional to the value of the of a gap, S, in the sensory field (e.g., the optic flow field). That is (1)where is a constant. In contrast, other measures on an action-gap, such as its size, velocity and acceleration, are not directly perceptible, but are only perceptible at ‘second-hand’ through sensing the of another action-gap that relates to a body or action dimension. Direct perception of has been demonstrated experimentally (Lee 1998 |
Thus, theory and experiment indicate
that is a primary sensory variable for controlling closure of
action-gaps. Theory and experiment also indicate that is a primary
action-formula variable for controlling action-gaps. General theory
shows that the principle of -coupling (keeping two s in constant
ratio) can be used to formula-guide the closure of an action-gap.
The idea is that the of a changing action-gap is constantly sensed
and the muscular forces controlling the closure of the gap are
constantly adjusted to try to keep the of the action-gap in
constant ratio with a changing formula-gap generated in the nervous
system. (There is recent evidence for a formula-gap in the
electrical activity in the brain; Lee et al. 2008.) Analyses of
skilled actions have revealed two such formula-gaps (Lee 2005). They
comprise a bisymmetric pair, D and G, that close with constant
deceleration and constant acceleration, respectively - like the gaps
between a bouncing perfectly elastic ball and its zenith and the
ground, repectively. Keeping the of an action-gap, A, in constant
ratio with the of D, i.e., keeping (2) where is a constant, directs the deceleration-to-closure of a gap, and is equivalent to keeping constant the time derivative, , of of the action-gap. Keeping the of an action-gap, A, in constant ratio with the of G, i.e., keeping (3) where is a constant, directs the acceleration-then-deceleration movement when an action-gap closes from rest to rest, as when reaching or stepping. Evidence for -guidance and -guidance of movement has been found in a range of species, including humans (Lee 2005). In the final part of my talk I will show how the principles of General Theory, encapsulated particularly in the above three -coupling equations, can be applied to understanding skilled performance. Examples will be drawn from sports skills such as sprinting, jumping, somersaulting, hitting and catching; from musical performance skills such as singing, bass playing and dancing; and from the use of music in aiding skilled performance. References Bernstein NA (1967) The co-ordination and regulation of movements. Oxford: Pergamon Gibson, J. J. (1966). The senses considered as perceptual systems. Boston: Houghton Mifflin. Lee, D. N. (1998). Guiding movement by coupling taus. Ecological Psychology, 10, 221-250. Lee, D N (2005) Tau in action in development. In Rieser JJ, Lockman JJ, Nelson CA (eds) Action as an organizer of learning and development. (pp 3-49). Hillsdale NJ: Erlbaum. Lee, D. N., Georgopoulos, A. P., Lee, T. M. & Pepping, G-J (2008). A neural formula (tauG) that guides movement. (submitted) |
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© copyright IDRAM - 2008 |