TraceLogic; Automated Rule Learning from Data Traces Navy SBIR FY2013.1 Sol No.: Navy SBIR FY2013.1 Topic No.: N131-075 Topic Title: TraceLogic; Automated Rule Learning from Data Traces Proposal No.: N131-075-0980 Firm: Knowledge Based Systems, Inc. 1408 University Drive East College Station, Texas 77840-2335 Contact: Paul Koola Phone: (979) 260-5274 Web Site: www.kbsi.com Abstract: KBSI proposes to research the development of methods, process and algorithms to decipher the hidden rules or logic of complex traffic patterns �?" traces of aircraft, people and equipment on Aircraft Carriers. We call this system that performs �?oautomated rule learning from data traces�?? - TraceLogic. Operations on aircraft carriers are described as controlled chaos. Complex organizational systems such as onboard carriers adapt and learn and hence do not operate on predetermined low level rules, but rather on high level guidelines. Critical situations that have never been seen before are best tackled by such an adaptive and well trained organization. The main outcomes of the proposed TraceLogic project are: (i) research of the design and demonstration of methods, process and algorithms to decipher the hidden rules or logic of complex traffic patterns, (ii) research of the development of distributed sensor fusion architecture combining knowledge of aircraft carrier operations and sensor capabilities to generate trace data; and (3) eventual integration with existing virtual carrier simulation systems and programs, to accelerate commercialization. Our solution will likely produce significant long term benefits that address the technical and pragmatic problems associated with improving the performance and capability of our aircraft carriers, doing more with less. Benefits: The TraceLogic technology has a wide range of important defense and commercial applications including aircraft carrier planning, complex adaptive systems understanding, decision-making, management consulting, and insights into new complex systems design. Return