Exploring the detection process: integrating judgment and outcome decomposition

  • Authors:
  • Ignacio J. Martinez-Moyano;Eliot H. Rich;Stephen H. Conrad

  • Affiliations:
  • Argonne National Laboratory;University at Albany;Sandia National Laboratories

  • Venue:
  • ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
  • Year:
  • 2006

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Abstract

In detection processes, decision making includes comparing indicators with thresholds that determine the preferred course of action. The prototypical detection problem deals with identification of elements that belong to a class when mixed with elements that do not belong to it. In our model, we integrate elements from social judgment theory SJT (Brunswik, 1943) (e.g., lens model of judgment analysis) and signal detection theory SDT (Green & Swets, 1966) using the system dynamics framework (Forrester, 1961; Sterman, 2000) to further the understanding of detection processes.