Outline of Talk
Introduction
Turing Test
AI
The Failure of Symbolic AI
The Failure of Sub-Symbolic AI
A Way Forward
Our Current Understanding of Human Thinking
Neural Models
Digression
Attractor Nets
Move to a Neural Model
Theory
Applications
Neuropsychology: Modularity and Distribution
Keeping it Together
Problems
Learning
Conclusion
