Abstract:
A method and system for evolving electronic circuits based on defined rules. A first approach uses a network (50) of nodes (60) having established topological and behavioral relationships amongst themselves. A second approach employs software agents to create signal filters. The software agents are allowed to evolve in signal parameter space so as to match a reference signal (200), subject to established evolutionary rules and parameter space constraints. Narrowband and a low-pass filter can be formed using such agents.
Abstract:
The present invention relates generally to a system and method for predicting future demand for goods and/or services ( 100). More specifically, the invention provides a system and method for predicting future demand ( 106) for goods and/or services based on information obtained from offering for sale options for the goods and/or services at different levels of product, regional and temporal hierarchies (104).
Abstract:
A method and system for evolving electronic circuits based on defined rules. A first approach uses a network of nodes having established topological and behavioral relationships amongst themselves. An A/D converter is developed using this approach. A second approach employs software agents to create signal filters. The software agents are allowed to evolve in signal parameter space so as to match a reference signal, subject to established evolutionary rules and parameter space constraints. Narrowband and a low-pass filters can be formed using such agents.