Under adaptive learning, recursive algorithms are proposed to represent how agents update their beliefs over time. For … applied purposes these algorithms require initial estimates of agents perceived law of motion. Obtaining appropriate initial … specifications of the learning mechanism, such as the Least Squares and the Stochastic Gradient algorithms. Using simulations we show …

Although greedy algorithms are important, nowadays it is well assumed that the solutions they obtain can be used as a … algorithms (GA). A constructive heuristic, so-called fuzzy greedy search (FGS) is employed to generate an initial population for …