genetic programming. Via these agent based simulations, it is found that, except for some extreme cases, the mean prices …

's legacy) is lost in mainstream economics, but is reserved in SFI economics. We then shift to Koza's genetic programming and …

, technical analysis is a common and presumably profitable practice among investment professionals. Applications of Genetic … Programming and Genetic Algorithms to the extraction of Technical Trading Patterns from financial data. The subset of technical …

-based simulator to learn `good' decisions via genetic programming in a logic programming environment. From intensive experiments, our …

recently proposed adaptive learning models: Genetic Programming and applies it to one the mostly studied and still … controversial economic interaction environment, that of oligopolistic markets. Genetic Programming evolves decision procedures …

to human understanding at present. This paper introduces genetic programming, which is an evolutionary computing method … that provides a ‘transparent’ and structured system identification, to rainfall-runoff modelling. The genetic-programming …-driven approaches (genetic programming and neural network) are surprising in their consistency considering the relative size of the …