Other Approaches

• store the training examples and pick closest - nearest neighbor
• generate a large number of checker programs and have them play each other, keeping the most successful and elaborating and mutating them in a kind of simulated evolution - genetic algorithms
• analyze or explain to themselves reasons for specific success or failures - explanation-based learning