Adaptive (`InflGame.adaptive`)#

Subpackage contents#

A subpackage for modeling the adaptive dynamics of influencer games.

SubModules	Description
`visualization`	Plotting methods for the results of adaptive dynamics simulations of influencer games.
`grad_func_env`	Environment for agents to learn using gradient ascent.
`jacobian`	Optimized computation of Jacobian matrices for stability analysis of Nash equilibria.
`bifurcation_analysis`	Tools for analyzing equilibrium bifurcations across parameter ranges.
`newton_search`	Methods for finding roots of gradient functions to identify equilibria using Newton’s method.
`monte_search`	Algorithms for searching for Nash equilibria in influencer games using monte carlo methods.