Stochastic Systems with Multiple Decision Makers and Parametric Uncertainties

Abstract

This final report summarizes the findings of research on the topic Stochastic Dynamic Systems with Multiple Decision Makers and Parametric Uncertainties, supported by a Grant from the Air Force Office of Scientific Research, during the period May 1, 1985-April 30, 1988. The focus of the research during this three-year period has been on the development of methodologies and new solution techniques for obtaining strategies in stochastic systems, with good sensitivity properties, and for deriving optimal decision rules in systems with nonclassical information patterns. A further major thrust has been on the development of learning schemes and distributed algorithms for multiple decision-maker problems under different types of uncertainty.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 20, 1988
Accession Number
ADA206655

Entities

People

  • Tamer Başar

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computations
  • Computer Programs
  • Game Theory
  • Hierarchies
  • Information Science
  • Iterations
  • Learning
  • Mathematics
  • Measurement
  • Motivation
  • Optimization
  • Probability
  • Random Variables
  • Statistics
  • Stochastic Control

Readers

  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Technical Research and Report Writing.