Stochastic hybrid multi-agent systems: the interplay of randomness and independent decision making

Abstract

The objective of this research is to develop tools for the analysis and systematic design of stochastic hybrid multi-agent dynamical systems in a variety of settings. Stochastic hybrid multi-agent dynamical systems model the behavior of multiple subsystems with individual computing and decision-making capabilities, interacting by means of their actions and decisions in uncertain environments.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 23, 2016
Source ID
FA95501510155

Entities

People

  • Andy Teel

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of California, Santa Barbara

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.