Contents

• Introduction
  • Background
  • Research questions
  • Motivation and rationale
    • Intelligence defined
    • Artificial Intelligence
    • Motivation
  
  
• Biology's driving principles for intelligence
  • Substrates
    • The Brain
    • The neuron and neuronal structures
    • Substrates in general
  • Evolution
  • Development
  • Evolution and complexity
  • Evolutionary Anthropology view
  
  
• Artificial Implementation
  • Artificial counterparts of key mechanisms
    • Evolutionary algorithms
    • Genetic algorithms
    • Artificial Neural Networks
    • Evolving neural networks (EA and ANN combined)
  • Example implementations
    • Genetic evolution of virtual creature morphology and control
    • Babybot: an artificial developing robotic agent
  • Barriers to implementation
    • A suitable substrate
    • General intelligence
  
  
• Emergence of intelligence
  • The computability of thought
    • History
    • Roger Penrose's View
    • Criticism
  • Open ended evolution
  
  
• Conclusions
• The Turing test
  • Design testing procedure
  • Relevance and objections
  
  
• Bibliography