Graphic Representations of Processing Structure: The Time-Event Matrix


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.


Science-wide complexity theory presents strange attractors as lawful outcomes of nonlinear functions. The time-event matrices used by Streufert and associates to depict human information processing in complex task environments have similar characteristics. The use and construction of these matrices is described. The technique may be useful across sciences to depict the consequences of complex phenomena.