Thanks to Tim Tyler and James Bowery's explanations 👍 My idea is just a general learning algorithm that can be applied to both supervised and unsupervised situations.
I am focusing on how to learn logic rules efficiently. The logic rules would explain a set of data (such data is also expressed as logic formulas), this seems to fall into the unsupervised category. But the fitness function of the genetic algorithm can really be anything desired. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T77af318d4abfa8a8-Me37af4d3d1fff4515539693a Delivery options: https://agi.topicbox.com/groups/agi/subscription
