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This invention describes an artificial intelligence system designed to adapt its behavior to specific problems by using human behavioral models. It operates by creating flexible software components that connect to data, then assembling these components into a network that processes information. The system repeatedly compares how well its current behavior fits the human models, adjusting itself by selecting the best-performing model to control its actions, starting with extracting entities from an input signal and relating them to stored data.
Why it matters: Filed before the widespread adoption of advanced machine learning and large language models, which now offer powerful tools for creating, evaluating, and competitively executing complex behavioral models and autonomous agents. These advancements significantly reduce the technical hurdles for implementing the system's core adaptive and deductive capabilities.
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