Multi-Agent System for Mission and Situational Awareness Management (MASAM) for Airborne Platforms

Abstract

This paper will describe the application of improved methods of sorting, classifying, and identifying pulsed and modulated CW command and control (C2) emitters, whether air, land, sea, or subsurface. These methods are based on Artificial Intelligence (AI) and include: (1) Probabilistic reasoning techniques such as Bayesian and/or Dempster-Shafer theory for data fusion and analysis; (2) Genetic algorithms for multi-dimensional search and optimization (i.e. to search for optimized maneuvering and threat-response tactics); (3) Fuzzy set theory, which can be implemented with various other AI techniques. For example, fuzzy logic controllers may be coupled to genetic algorithms and knowledge based rule-generating systems to provide adaptive control mechanisms; (4) Neural networks, to aid in solving many pattern recognition, decision-making, data fusion and analysis problems. We will then discuss the integration of the results from these techniques with software agents, to support the capability to continuously manage the influx of on-board sensor data with received off-board information to maintain situational awareness (the relationship between own-platform and all other observed platforms in the context of the common physical environment). Software agents are characterized as autonomous, intelligent, collaborative, and perhaps exhibit some degree of mobility, acting on a user's behalf in order to meet specific objectives. Lastly, we will define the concept of a mission management system that uses the developed situational awareness to perform targeting, avoidance, and denial (countermeasures) functions of own-platform against other-platforms, while assessing own-platform states such as weapon loads and electromagnetic combat capability. A further function of the mission management system would be to specify ingress/egress routing.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA606319

Entities

People

  • Frank Segaria
  • John C. Sciortino Jr.
  • Ranjeev Mittu
  • Vijayanand C. Kowtha

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • C4I
  • Electronic Warfare
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Command And Control
  • Data Fusion
  • Data Processing
  • Electronic Warfare
  • Identification
  • Information Processing
  • Information Systems
  • Multiagent Systems
  • Neural Networks
  • Pattern Recognition
  • Reasoning
  • Situational Awareness
  • Software Agents
  • Swarming Technologies
  • Warfare

Readers

  • Artificial Intelligence
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Biotechnology
  • Fully Networked C3
  • Fully Networked C3 - Command and Control