In this morning’s tutoring we reviewed squares and square roots. Then we did an introduction to the concept of problem spaces, built a javascript blackjack-like problem space in to play in, and tried three competing types of strategy for finding a good solution, which were essentially primitive versions of a random function a list of steps, and an expert system respectively. We then began to discuss how genetic algorithms wok, and moving forward how we can move to richer problem spaces and evolve each of the strategies to fit those spaces. We might add neural networks down the road.

And played with modulus and a graphical proof of Pythagoras’ theorem.

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