Interactive Measures and Innovation

Abstract

The more an autonomous system is optimized to perform a task, the less intelligence it has to deal with unexpected changes in an uncertain environment. This paradox implies that in such environments, viability rather than optimization may be a more appropriate measure of a system's potential to carry out tasks. In this presentation I proposed that the function of innovation is to keep a system viable in response to change. To function autonomously in a dynamic environment, a constructed system has to be capable of innovating to some degree. This capacity can be modeled as a flexible repair and compensation mechanism. It can be measured with respect to specific tasks assigned to the system by having it react to selected imperfections and gauging the results. This presentation proposes that the capacity of a system to repair itself is a measure of its ability to act appropriately in uncertain environments. To examine this capacity, I explore a system architecture that could be tuned to enhance repair solutions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA515471

Entities

People

  • Luis O. Arata

Organizations

  • Quinnipiac University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Assimilation
  • Autonomous Agents
  • Autonomous Systems
  • Compensation
  • Education
  • Electronic Mail
  • Environment
  • Evolutionary Algorithms
  • Hierarchies
  • Intelligent Systems
  • Language
  • Learning
  • Personal Information Managers
  • Personality
  • Psychology

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy