Introduction

The following sections are included:

• What is an Agent?

• Basic Questions and Fundamental Issues

• Learning

  • Learning in Natural and Artificial Systems

    • Skinner's Pigeons in a Pelican

    • Biologically Inspired Legged Robots

  • Agent Learning Techniques

    • Agent Belief Development and Updating

    • Performance-Based Learning

    • Reinforcement Learning

• Neural Agents

  • Self-Organizing Maps (SOM)

  • SOM Applications

• Evolutionary Agents

• Learning in Cooperative Agents

• Computational Architectures

  • Subsumption Architecture

  • Action Selection

  • Motif Architecture

    • Overview

    • Dimensions of Motif Interaction

    • Self-Similar Structures

    • Motifs

    • Computation in Two Interacting Motifs

    • An Agent Behavioral Organization Approach

• Agent Behavioral Learning

  • What is the Behavior of a Learning Agent?

  • What is Behavioral Learning?