System and method for dynamic knowledge construction

Abstract

A system and method responsive to input stimuli is provided by incorporating a computer software program, hardware processing engine, or a specialized ASIC chip processor apparatus to capture concurrent inputs that are responsive to training stimulation, store a model representing a synthesis of the captured inputs, and use the stored model to generate outputs in response to real-world stimulation. Human user forced-choice approval / disapproval generated descriptions and decisions may be dynamically mapped with conventionally presented information and sensor and control data. The model mapping is stored into and out of a conventional mass storage device, such as is used in a relational database for use in generating a response to the stimuli. By accessing commonly stored mappings, the system can be incorporated into a mixture of multiple domains and disciplines of users and can create a common understanding of knowledge and design concept contained within it through mutual interaction, and subsequent automatic modifications to a common relational database. The system and method is applicable to conventional storage and presentation devices, making it easily incorporated into a variety of commercial products, utilizing current commercial human-machine interfaces (e.g. Human-Machine Interface graphical user interface, or Graphical User Interface) and current mass storage devices. The system uses N-dimensional descriptions of observations and concepts in an infinitely expandable space, embracing elements of human thought. This allows the user to tailor this system to control operation of automated devices and appliances to reflect the individual's wishes and desires as a dynamic representation and mapping of user descriptions and decisions with information, sensor data, and device controls.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation of application Ser. No. 09 / 658,275, filed Sep. 8, 2000, which claims priority from provisional application Ser. No. 60 / 215,762 filed on Jun. 30, 2000. The contents of these application are incorporated herein in their entirety.[0002]This application is related by subject matter to application Ser. No. 09 / 658,276, filed Sep. 8, 2000, now abandoned, the contents of which are incorporated herein.TECHNICAL FIELD[0003]The present invention relates to a system and method for dynamic knowledge construction.BACKGROUND OF THE INVENTION[0004]The development of Artificial Intelligence (AI) modeled human understanding of the real world (RW), as summarized by Dreyfus et al., “Why Computers May Never Think Like People,” Harvard Technology Review, 42 (January 1986), is a collection of facts, rules of operation, and experiences. This collection of symbolic information varies with human skill in a particular application ...

AI Technical Summary

Benefits of technology

"The present invention is a system and method for generating outputs in response to real world stimulation. The system captures inputs from concurrent handwriting and speech, stores them in a model, and uses them to generate outputs. This approach is applicable to various human interaction applications such as user identification, user verification, and user presence detection. The system can be easily integrated into commercial products and is based on the use of neural networks and higher-order correlation. The technical effects of the invention include improved accuracy in user identification, increased complexity of applications, and improved scalability and adaptability."

Problems solved by technology

By using a short and long-term storage approach, the utility of the concept is extendable to many applications with increasing complexity, with expandability only limited by the physical storage devices and communication hardware bandwidths.

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