Abstract:
The present invention presents a system and method of economic analysis and prediction which dynamically adapts to a changing economic environment by selecting or synthesizing an economic model from a set of economic models based on the selected model's ability to make accurate predictions about an actual economic market. Specifically, the method and system of the present invention forms a space of different economic models (105), forms a behavorial landscape by extracting observables from executions of the economic models (120), and performs model selection and composite model synthesis through optimization (130) over the behavioral landscape.
Abstract:
The present invention presents a method for partitioning that provides both a relevant metric and a set of clusters through an evolutionary learning process. The present invention further presents a method for determining consumer demand (304) that finds the context dependent, or combinatorial optimized set of properties, uses, or customer features that optimize the value of a product to the customer base. The present invention further includes a framework for the marketing and introduction of novel products. T he framework has means to model customers and derive an optimal set of goods (308) to produce alone or in the face of a coevolving competitive environmen t where other firms are introducing and modifying their own goods.
Abstract:
A system and method are provided which dynamically adapts to a changing economic environment by selecting or synthesizing an economic model from a set of economic models based on the selected model's ability to make accurate predictions about an actual economic market. The method and system each forms a space of different economic models, forms a behavioral landscape by extracting observables from executions of the economic models, and performs model selection and composite model synthesis through optimization over the behavioral landscape.
Abstract:
The present invention presents a method for partitioning that provides both a relevant metric and a set of clusters through an evolutionary learning process. The present invention further presents a method for determining consumer demand (304) that finds the context dependent, or combinatorial optimized set of properties, uses, or customer features that optimize the value of a product to the customer base. The present invention further includes a framework for the marketing and introduction of novel products. The framework has means to model customers and derive an optimal set of goods (308) to produce alone or in the face of a coevolving competitive environment where other firms are introducing and modifying their own goods.