Intelligent Information Algorithm for Electronic and Computer Network Systems
Navy SBIR FY2014.1

Sol No.: Navy SBIR FY2014.1
Topic No.: N141-050
Topic Title: Intelligent Information Algorithm for Electronic and Computer Network Systems
Proposal No.: N141-050-0280
Firm: Cybernet Systems Corporation
3885 Research Park Dr
Ann Arbor, Michigan 48108-2217
Contact: Charles Cohen
Phone: (734) 668-2567
Web Site:
Abstract: Experienced shore-based technicians are not available to provide their expert technical assistance to a ship at sea, which is usually the most critical time when naval electronic systems issues occur. The current trend is that the experience, skill levels, and especially the numbers of on-site ship board technicians are decreasing, while the complexity of the radars, weapons, and integrated combat systems is increasing. Much of the accumulated knowledge and experience of shore-based radar and combat system operations and maintenance experts now resides in databases, detailed test plans, repair procedures, and other documents, that are unable to be leveraged by their ship based less experienced counterparts. To address this need, we propose to create an Interactive Instructor that essential works as an interface for interactive documentation. The Interactive Instructor takes as input the expert knowledge in the form that it resides, including and especially natural language. We then will enhance freely available chatterbot technology to generate dynamic, contemporaneous dialogue that allows the technician to present information and ask questions in a manner they would normally present to human shore-based experts, and receive interactive responses that will provide those expert solutions to the technician.
Benefits: First, we will work with the Navy to determine a program of record that will benefit from this effort. The specific acquisition programs we will explore during the Phase I and Phase II include PEO IWS 1.0, Integrated Combat Systems, and AEGIS. Second, we will examine the Automated Interactive Market. The key innovation is the development of an automated method of converting text from a wide variety of sources (emails, articles, web posts, online instruction manuals, chat, etc.) and converting it for use in an interactive chatterbot system. There are markets in this area that we will explore during this effort, including Instructor Avatars and Video Game Avatars.