Complexity Theory: Predictions Based on the Confluence of Science-Wide and Behavioral Theories

Authors


  • 1

    Theory development and validation was, in part, supported by Grant R01 DA06 170 from the National Institute on Drug Abuse.

Correspondence concerning this article should be addressed to Siegfried Streufert or Usha Satish, Department of Behavioral Science, College of Medicine, Pennsylvania State University, P.O. Box 850, Hershey, PA 17033.

Abstract

Views of behavioral and science wide complexity theories are briefly summarized. Theory-based predictions for human cognition and behavior based on both theories are advanced.

Streufert (in this special issue) has discussed the confluence of science-wide and behavioral complexity theory. Even though the former attempts to find common processes in all the sciences and the latter theory has, to date, limited itself to human behavior, there are many similarities in approach and in explanations of observed phenomena. Differences between the two theories are minor in comparison to their commonalities. Considering the many similarities, it may be useful to confirm (and possibly extend) behavioral complexity theory. A number of theorems, many familiar, some slightly modified, some new, will be provided at the end of this paper.

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