could, the dots in a lattice, one by one, from the computer screen, by clicking on each point with a mouse. In some experiments, after removal, the dot reappeared in fifty milliseconds, in the “fast return condition”, or after one-second delay in the “slow return condition.” Unbeknown to the subject, the path made by the motions of their mouse on the computer screen over time while removing dots were reconstructed as a path on a fine to coarse grained box-partitioned behavioral manifold. Entropic indices of the rate of expansion of the possible, number of new boxes entered, reflecting H; , and the relative occupancy of the partition of the possible, reflecting Hy, the distribution of probabilities with respect to the boxes, could then be computed. For examples, Selz found that the spatial and temporal patterns of computer mouse motions made in this dot search and destroy task correlated highly with the subjects’ age, sex and personality types as defined by profiles from the Minnesota Multiphasic Personality Inventory, MMPI, and the Structured Clinical Interview, SCI, associated with the standard Diagnostic and Statistical Manual, DSM IV. She found that subjects whose personalities were like my high self-sensibility girlfriends demonstrated high indices of both Hrand Hy. The actions of nonintegrable nonlinear differential equations, not solvable by the usual techniques of integration, can be transformed into graphical images by plotting their orbits in abstract phase spaces with the three physically measurable coordinates of location x (or some other temporarily fixed va/ue), velocity y (the rate of change in the location or measured value) and z acceleration (the rate of change of the rate of change in location or value) in x, y, z space. Graphical representations of the system in action in phase space can serve in place of analytic solutions to the equations. This idea was one of Henri Poincare’s major contributions to mathematics and physics, and has come to be t