We introduce a methodology to infer players' unobserved multi-period strategies from their observed stage game actions in economic decision-making experiments. We use finite-state automata to model multi-period strategies by employing an algorithm that synthesizes a minimal state automaton from...

We introduce adaptive learning behavior into a general equilibrium lifecycle economy with capital accumulation. Agents form forecasts of the rate of return to capital assets using least squares autoregressions on past data. We show that, in contrast to the perfect foresight dynamics, a dynamical...

We use nonparametric, local regression and regression tree analysis to assess whether there exist multiple regimes in U.S. monetary policy over the period 1955:3-2000:2. We model U.S. monetary policy using a Taylor rule specification for the nominal interest rate target. By contrast with...

We use symbolic regression (implemented by a genetic program) to analyze the role of agent expectation formation in games. In the model, agents attempt to infer the strategies of opponents through regression and then best respond using this information. Though agents use deterministic...