Further Informational Properties of the Nash and Stackelberg Solutions of LQG Games.

Abstract

This paper considers a two-decision-maker problem where each decision maker has his own information and studies the impact of improving the information of only one decision maker. In a previous document an example of a two-decision-maker LQG static Nash game was considered and was shown for that particular example that, on the one hand, if one of the decision makers improves his own information by obtaining his opponent's information (while his opponent's information does not change) then he ends up with a higher Nash cost; on the other hand, if he improves his own information by getting an extra measurement not from his opponent (while his opponent's information does not change) then he might incur lower Nash cost. This paper proves that in a general two-decision-maker LQG static or dynamic Nash game, if one of the decision makers knows all his opponent's information, then more or better information for him alone is beneficial to him. In static games the authors prove that more information for one of the decision makes alone is beneficial to him provided that such information is orthogonal to both decision maker's information. Additional keywords: Numerical analysis; Kalman filtering; Orthogonality; Matrices(Mathematics).

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Document Details

Document Type
Technical Report
Publication Date
May 21, 1985
Accession Number
ADA158569

Entities

People

  • G. P. Papavassilopoulos

Organizations

  • University of Southern California

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Convergence
  • Data Science
  • Electrical Engineering
  • Equations
  • Equations Of State
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Motivation
  • Numerical Analysis
  • Probability
  • Random Variables
  • Scientific Research
  • Theorems

Readers

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