Anyone interested in genetic evolution approach to learn logic rules? Each logic rule would be encoded as a gene (individual) and the whole set of rules evolve as a entire population. This is the so-called cooperative evolution approach.
My code is about 70-80% completed. It's in Python, on Github. Using "Naive-Rete" (also in Python) as a minimal rules engine because it would be easily modifiable and extensible. The first test would be to evolve rules to play Tic-Tac-Toe (easy enough!) -- *YKY* *"The ultimate goal of mathematics is to eliminate any need for intelligent thought"* -- Alfred North Whitehead ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T77af318d4abfa8a8-Me65ce86c41d6a3baa2d927e5 Delivery options: https://agi.topicbox.com/groups/agi/subscription
