Accession Number:

ADA422118

Title:

Distributed Machine Intelligence for Automated Survivability

Descriptive Note:

Conference paper

Corporate Author:

OFFICE OF NAVAL RESEARCH ARLINGTON VA

Personal Author(s):

Report Date:

2004-03-01

Pagination or Media Count:

10.0

Abstract:

Future Naval platforms face new dynamic operational scenarios that demand more flexible performance. At the same time, reduced manning and lower total ownership costs are now major design and acquisition objectives. Improved warfighting capability can be achieved by reducing vulnerability to damage and failure events. Rapid system recovery from unanticipated damage using current doctrine and practice conflicts with todays reduced manning objectives. Decentralized ship system architectures and agent-based technologies promise to enable the Navy to improve rapid system recovery and assist in meeting these affordability challenges. Decentralization of systems and resources improves both ship survivability and fight through capability. This is accomplished through rapid sensing and response and dynamic reconfiguration, which results in improved continuity of service of ship systems. Embedded intelligence at the component level insures rapid, effective autonomous reaction and response to local fault conditions. Agent-based technologies are utilized to provide autonomous cooperation between sensors and actuators, in which elements reason and react locally while achieving global objectives through agent-to-agent communications. While intelligent decision making is performed locally by autonomous agents, the sailor will direct these agents through comprehensive supervisory control with improved on-demand situational awareness. When fielded, these systems will provide increased situational awareness, increased fight through capability, and improved damage control. This paper describes Navy Science and Technology projects currently underway in academia, industry, and Navy laboratories to achieve these goals. 14 figures, 16 refs.

Subject Categories:

  • Personnel Management and Labor Relations
  • Electrical and Electronic Equipment
  • Computer Programming and Software
  • Computer Hardware
  • Cybernetics
  • Mechanics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE