Accession Number:

ADA525250

Title:

Maritime Domain Awareness via Agent Learning and Collaboration

Descriptive Note:

Conference paper with briefing charts

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Report Date:

2010-06-24

Pagination or Media Count:

38.0

Abstract:

Maritime security is vital to US security. Enhanced Maritime Domain Awareness MDA of potential threats in this dynamic environment can be achieved, yet requires integrated analysis from numerous sources in real time. We will present a learning agent technology that integrates structured and unstructured data and discovers behavior patterns from varied sources such as Automatic Information Systems AIS, Coast Guard, and police contextual information including maritime commercial activities, weather, terrain, environmental conditions, maritime incidents, casualties, and military exercises. These discovered patterns can help correlate warnings and reduce false alarms in support of maritime security. We will show our test results from the Trident Warrior TW08 exercise. We will also discuss the agent learning applied to system self-awareness, where we consider that the cognitive interface between decision makers and a complex system may be expressed in a range of terms or features, i.e. specific vocabulary to describe a System of Systems SoS or so-called Lexical Link Analysis LLA. MDA is an extremely varied and dynamic SoS, requiring constant collaboration and decision making. We will discuss prototypes of agent learning and collaboration, LLA, and visualization that provide real-time views of SoS to support large-scale decision making for MDA technology acquisition, irregular warfare at sea, and intelligence collection with analysis automation.

Subject Categories:

  • Cybernetics
  • Military Intelligence
  • Naval Surface Warfare
  • Undersea and Antisubmarine Warfare

Distribution Statement:

APPROVED FOR PUBLIC RELEASE