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* 1. I talked about two uses of models: for theory testing, and for gaining insight. Which of the following describes the way in which models, theories, real-world data and predictions link together?

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* 2. The reading presents Conway's game of life, a cellular automaton that has some really simple rules. Live cells that have two or three neighbours stay alive, otherwise they die. Dead cells that have exactly three live neighbours become alive. A computer can follow these rules really easily, and given a set of cells can work out what they will look like at the next time step, and the next time step, and so on forever. You can also work this out yourself, using paper and pencil, or you can use a Life simulator, like this one. If we start from the pattern below, which pattern will be next, after one round of updates?
 

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* 3. What kind of model do you think Life is?

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* 4. What do you think we can learn from models like Life?

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* 5. I have already come across models as part of my degree.

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* 6. Is there anything you would like me to know before the lecture - any stuff you want me to go over again, anything you struggled with, any worries you have?

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