How to Evolve Your Way Out of a Paper Bag

By Frances Buontempo

Machine learning is all the rage. We usually find, however that machines don’t learn. We have to give them some hints or actual code in order to get anything done. Furthermore, we are often told many people can’t program their way out of a paper bag. Frances Buontempo can. She will explore evolutionary algorithms, a type of machine learning, including genetic algorithms (ga) and cell automata (ca) in the simple context of programming one’s way out of a paper bag. The audience will understand the basics of evolutionary computing by the end of the talk, and be knowledgeable enough to try the ideas against other problems. Frances promises to keep it simple and have some moving pictures to show off during the session.

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