We propose a framework in order to econometrically estimate case-based learning and apply it to empirical data from … twelve 2 × 2 mixed strategy equilibria experiments. Case-based learning allows agents to explicitly incorporate information …-based learning to other learning models (reinforcement learning and self-tuned experience weighted attraction learning) while using …

the (possibly misspecified) prior belief that her local network is the entire network. We present a tractable learning … rule to implement such locally Bayesian learning: each agent extracts new information using the full history of observed …

the (possibly misspecified) prior belief that her local network is the entire network. We present a tractable learning … rule to implement such locally Bayesian learning: each agent extracts new information using the full history of observed …

results are extended to a model of learning, in which type k plays a k times iterated best response the average of past play … Reasoning ; Evolution ; Learning ; Level-k ; Fictitious Play ; Cognitive Hierarchy …

competition games are initially conducted whereby students only choose prices. Then, student strategy space is relaxed to include … more learning content: asymmetric information, brand loyalty, market share dominance, exit gains through liquidation …. Economic principles are contrasted with classroom game outcomes. Findings indicate better learning outcomes through specific …