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In the lecture, we encountered the concept of an invariant distribution (also known as stationary distribution/measure). What is it and in what context did we encounter it?

Which statement about Computational Social Science (CSS) CONTRADICTS the lecture’s characterization of the field?

Researcher FindItOut found a database from the local municipality showing that the recent transition to green energy reduced unemployment in the city. Based on this specific observation, she developed several general theoretical explanations for why green energy transitions might reduce unemployment in cities more broadly. This process of reasoning from a specific case to general explanations is an example of:

What is a key functional difference between how artificial neural networks and the human brain usually process learning?

The lecture links three ethical schools to different parts of the machine-learning pipeline. Which mapping best matches that framework?

When setting up an agent-based computer simulation, you can adjust several aspects. Which aspect would you NOT adjust from the outset, before running your model?

When building the uniquely efficient star network in lecture, what principle guided the network’s evolution toward its final configuration?

In our fifths Sugarscape model, we introduced an inheritance mechanism. Agents passed on their sugar to their offspring after death. What was the effect we observed?

Prof. Frey’s lecture draws a fundamental distinction between “playing for the mean” and “playing for the max.” How does this distinction dictate the optimal strategy for decision-making in the provided model?

In NetLogo, as in most other computer programs, it is good coding practice to clean the workspace as a first step of the program. What have we used in NetLogo?