Lessons Learned from Twenty Years of Chaos and Complexity
University of Wisconsin-Madison
This article is a condensed version of an
invited lecture given at the 24th Annual Conference of the
Society for Chaos Theory in Psychology and Life Sciences on
August 1, 2014
Ref: J. C. Sprott, Society for Chaos Theory in Psychology & Life
Sciences Newsletter 22, October 2014-6-9 (2014)
The complete paper is available in PDF
Return to Sprott's Books and Publications.
Fig. 1. Science is the study of cause-effect relationships for
agents, whose internal workings usually involve other agents.
Fig. 2. Two simple examples of nonlinearities, one slower than
linear and the other faster than linear.
Fig. 3. Most scientists, of necessity, are studying a small part
of a much larger network, hoping that the part not being studied
can be treated as a fixed external stimulus, often leading to
erroneous conclusions and predictions.
Fig. 4. The simplest nonlinear networks that are capable of