Applications of BICA to Intelligence Analysis

Paul Kogut, Norris Heintzelman, Greg Stachnick

This paper describes potential applications of Biologically Inspired Cognitive Architectures to Intelligence Analysis. The focus of our efforts is on higher level reasoning rather than low level perception. We will never have enough human analysts to read, filter and make sense of all the text data out there. Can some form of BICA help? In this paper we discuss issues related to knowledge acquisition, natural language processing and cognitive architectures that we have encountered in an ongoing project to apply the Sandia Cognitive Framework to analysis problems. We believe that studying intelligence analysis will lead to new insights into BICA.

Submitted: Sep 11, 2008