Multi-Layer Model of Swarm Intelligence for Resilient Autonomous Systems

Abstract

The objective of the this project is to develop a distributed multi-layer autonomous UAS planning and control technology for gathering intelligence in Anti-Access Area Denial (A2/AD) environments populated by intelligent adaptive adversaries. These resilient autonomous systems are able to navigate through hostile environments while collecting intelligence and minimizing the loss of assets. Our approach incorporates artificial life concepts, with the high-level architecture divided into three biologically inspired meta-layers: cyber-physical, reactive, and deliberative. The key concepts of our approach are: A layered architecture of intelligence on a spectrum from reactive to deliberative; the use of artificial life algorithms providing robust, complex behavior from a set of simple rules; communication of information between agents via observation; the use of a genetic algorithm (GA) to assist the team in selecting and adapting the best solutions for each layer. This distributed cooperative system of intelligent assets will provide adaptable, scalable performance to accomplish mission goals in challenging environments.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2019
Accession Number
AD1074379

Entities

People

  • Jake Neighbors
  • Jayson Clifford
  • Massood Towhidnejad
  • Ramin Rashedi

Organizations

  • Embry–Riddle Aeronautical University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Cyber
  • Electronic Warfare
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Area Denial
  • Autonomous Systems
  • Control Systems
  • Electronic Warfare
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Graphical User Interface
  • Information Systems
  • Intelligence Collection
  • Observation
  • Operating Systems
  • Swarm Intelligence
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Maritime Combat Support and Expeditionary Logistics.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Biotechnology
  • Cyber