A Flexible Approach to Quantifying Various Dimensions of Environmental Complexity

Abstract

In this paper I propose a flexible method of quantifying various dimensions of the complexity of a test environment, including its information density, variability, volatility, inconsistency, and uncertainty. This allows one to determine the task performance of intelligent agents as a function of such measures, and therefore permits derivative measures of their perturbation tolerance that is, their ability to cope with a complex and changing environment.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA515686

Entities

People

  • Michael L. Anderson

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Applied Computer Science
  • Artificial Intelligence
  • Climate Change
  • Computers
  • Environment
  • Information Processing
  • Intelligent Agents
  • Intelligent Systems
  • Measurement
  • Operating Systems
  • Reasoning
  • Specifications
  • Standards
  • Task Performance And Analysis
  • Throughput
  • Uncertainty

Readers

  • Calculus or Mathematical Analysis
  • Systems Analysis and Design