Autonomy-Oriented Computation

The following sections are included:

• Terminology

• The Adaptive Self-Organizing Behavior-Based Agents

  • Overview

  • The Adaptive Self-Organizing Behaviors of Agents

    • Reproduce: Positive Feedback and Autocatalysis

    • Diffuse: Biased Search

    • Adaptive Self-Organization

  • Agent Convergence

• The General Characteristics of Agents

• The Adaptive Reproduce-and-Diffuse (aR-D) Algorithm

• Examples

• Computational Costs

• Comparisons with Conventional Segmentation Approaches

• Effects of Behavioral Characteristics on Agent-Based Search

• Parameters Affecting Agent Computation

• Dynamics of Autonomous Agents

  • Understanding Agent Dynamics

  • A Continuous Model of Agent Dynamics

  • Deriving a Model of Agent Dynamics

• Balance between Learning and Evolution

• Summary

• Bibliographical and Historical Remarks

  • Feature Extraction

  • Segmentation