Tag Archives: Machine Learning

Symbolic and Neural Nets: Two Sides of the Same Coin

Deep learning and neural nets are all the rage, today, and have displaced symbolic AI systems in most applications. It’s commonly believed that the two approaches have nothing to do with each other; that they’re just completely different, and that’s … Continue reading

Posted in Theory | Tagged , , , , , , , | 1 Comment

Genetic Crossover in MOSES

MOSES is a system for learning programs from input data.  Given a table of input values, and a column of outputs, MOSES tries to learn a program, the simplest program that can reproduce the output given the input values. The … Continue reading

Posted in Design, Documentation, Introduction, Theory | Tagged , , , , , | 2 Comments