1. Agent behavior: How do the agents behave/work?
	- At each step, child agents sample adult agents’ ‘language’; then, the children fix their own language statistically.
	- Adults die, children become adults, and new children are created.
2. System behavior: How does the overall system behave/work? 
	- Due to randomness and selection in the ‘fixing’ process, the language as a whole evolves over time.
3. Rationale for agent rules: Why did you give the agents these rules? 
	- Listening and learning mimics a very simple model of child language acquisition, and some traditional models of language change.
4. Model output: Do you think your model currently provides a good description of the system’s behavior? Why or why not? 
	- The model is not functional yet, but the basic version is likely too simplified to describe the process adequately.
5. Questions: What questions do you have about your model? 
	- The biggest question is which and how many of the proposed elaborations are necessary (or reasonable).
6. Next steps: Briefly list your next steps for improving the model. 
	- The first step is getting the base form running, then implementing random lifespan.