Identifying ill-behaved nonlinear processes without metrics: Use of symbolic dynamics
Given ill-behaved psychological data that are unlikely to satisfy metric axioms, the use of encoding in symbolic dynamics, and hence leading into Markov analyses, is explored. Various measures of entropy are calculated. The tractability of entropic measures for categorizing the trajectories of nonlinear dynamics that may be present and chaotic is considered, with a focus on the case where there are two attractors and at least one heteroclinic orbit between them. Fast/slow dynamics are treated...[Show more]
|Collections||ANU Research Publications|
|Source:||Nonlinear Dynamics, Psychology and Life Sciences|
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