Models¶
Models written as scikit-agent blocks: decision problems, games, and the diagrams that state their structure. A block says who decides what, knowing what, and paid for what, which is a general enough description that the models here are drawn from economics, from game theory and from the AI-safety literature alike – and the list is open.
Some of these models are solved for a policy, with reinforcement learning or other computational methods. Others are read rather than solved: what a decision must account for, and what an agent has an incentive to observe or to move, are properties of a model’s structure, and are answerable before any policy is computed.
Incentives in Content Recommendation: Wanting Control Versus Having It
Incentives in Grade Prediction: Observing Versus Responding
