Evaluating the Dynamics of Agent-Environment Interaction

Abstract

Improving the performance of agent-based systems is a challenging problem requiring both system evaluation and appropriate modification of the agent's policy or controller. This dissertation presents work in this problem domain, focusing on the development of an on-line, real-time method for modeling the interaction dynamics between a situated agent and its environment. The encompassing theme is to provide pragmatic, general-purpose, and theoretically-sound approaches for improving the performance of agent-based systems. In order to provide context to the approach and contributions of the dissertation, we first consider some of the many complicating factors that influence a solution to the problem of improving performance. Next, motivation for our on-line modeling approach is provided by a brief examination of offline evaluation using interference (or collisions) between agents (robots).

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2001
Accession Number
AD1020828

Entities

People

  • Dani Goldberg

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Climate Change
  • Computational Science
  • Computer Programming
  • Computer Science
  • Computers
  • Control Systems
  • Data Science
  • Detectors
  • Hidden Markov Models
  • Information Processing
  • Information Science
  • Knowledge Management
  • Network Science
  • Probabilistic Models
  • Probability Distributions
  • Random Variables
  • Surveys

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Autonomy
  • Autonomy - Autonomous System Control