Contents

• Contents
• Introduction
  • Research Context
  • Symbol Grounding
  • Document Presentation
• From Philosophy to Computers
  • Philosophy of Mind
    • Dualism, Mentalism and Materialism
    • To Functionalism
    • Computers
  • Symbol Systems and Artificial Agents
    • Abstract Machines
    • The System and its Environment
    • Enaction theory
• Symbolic or Functional Grounding
  • Solving Grounding
  • Locating Meaning
  • Languages, Information and Dynamics
    • Algorithmic Information
    • Expressivity
  • Understanding as Information Compression
    • Classification
    • Theoretical Approaches
• Artificial Intelligence and Agent Systems
  • Autonomous Agents
    • Agents and autonomous agents
    • Behavior and Autonomy
    • Multi-agent Systems
    • Interaction and Emergence
  • Agent Methodology
    • Top-down Approach
    • Bottom-up Approach
    • Adaptation
    • Learning
    • Evolution
• Games and Text-based Virtual Reality
  • The Origins of Computer Games
  • Muds
    • From Fantasy Literature to Advent and Computer Role Playing Games
    • Playing Adventure Games
    • The MUD and Muds
    • Playing Muds
  • MUCK, MUSH and MOO
  • Text-Based Virtual Reality
• EMuds, Aims and Methods
  • Aims
  • EMud Environment Model
    • Structure
    • Dynamics
    • The World
  • EMud environment definition
  • Conclusions for the Model
• Learning Classifier Systems
  • Classifier Systems
  • Reinforcement Learning
    • RL Methodology
    • A Mathematical Formulation of Optimality in RL
    • Q-Learning
  • Genetic Algorithms
    • Implementation of a GA
  • XCS Design
    • Conditions, Messages and the Matching Process
    • Action Selection
    • Reinforcement Learning Component
    • Genetic Algorithm Component
  • An Analysis of the XCS
    • Notations
    • Simplified XCS is Q-Learning
    • Generalization in XCS
    • The Role of Accuracy in XCS
  • Test Case: The 6-multiplexer Problem
    • Multiplexer Problems
    • The 6-multiplexer
    • Applying XCS to the 6-multiplexer
  • Conclusions
• Experimentation
  • Multiplexer Representation Test
    • The Multiplexer Description
    • Regularities in the Description Space
    • Result Plots
    • Information Content
    • Experiment Parameters
  • EMud Dynamic Test
    • The Switch Test
    • Result Plots
    • Information in the Problem Dynamics
  • Discussion
• Conclusion
  • Practical Aspects
    • Design
    • Implementation
  • Theoretical Aspects
    • Philosophical Problems
    • The Information Problem
    • Dealing with these Questions
• Bibliography