TraceLogic; Automated Rule Learning from Data Traces

Period of Performance: 01/01/2014 - 12/31/2014

$499K

Phase 2 SBIR

Recipient Firm

Knowledge Based Systems, Inc.
1408 University Drive East Array
College Station, TX 77840
Principal Investigator

Abstract

The ultimate goal of KBSI in this effort is to develop methods, a process and algorithms to decipher the hidden rules or logic of complex traffic patterns ? traces of aircraft, people and equipment on aircraft carriers, and demonstrate technologies for Automated Rule Learning from Data Traces. We call this system for automated rule learning from data traces ?TraceLogic.? Operations on aircraft carriers are often described as controlled chaos. Complex organizational systems, such as those that govern and effect aircraft movement onboard carriers, do not operate on predetermined low level rules, but rather adapt and learn based on high-level guidelines. Critical situations that are often new or unique are best tackled by adaptive and well-trained organizations. The key challenge posed by this project is to discover and codify the rules of behavior ?encoded? into the patterns of performance of aircraft handlers and their leadership. Our solution is expected to have significant long-term benefits for on-board carrier operations, addressing both technical and pragmatic problems and improving performance and capability of our aircraft carriers.