From Coordination to Collaboration: Machine Learning for Group Cognition and Control in Multi-Agent Systems

Abstract

The University of California, Irvine is requesting a grant in the amount of $1,010,861.00 (base period $326,631.00 and two option periods totaling $684,230.00) to develop novel collaborative machine learning based control and decision-making strategies for multi-agent systems that can dynamically adjust and collaborate to achieve system level missions in adversarial and uncertain environments.

Document Details

Document Type
DoD Grant Award
Publication Date
May 02, 2024
Source ID
FA86512420001

Entities

People

  • Pramod Khargonekar

Organizations

  • Air Force Research Laboratory
  • United States Air Force
  • University of California, Irvine

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Research Science/Academic Research
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks