| 摘要 |
An inherently, and massively parallel data processing system and methodology is disclosed for evolving relative awareness, and related response states in a computerized environment. Any number of disparate data types can be configured with the goal of evolving complex data patterns involving these data forms across relative time and space. New data processing principles and a methodology are provided based on a new default logic that emulates the logic of the force of gravity as applied to proximity in time, space and form. Data form standards are provided that require time, place, and form factors at every convergent processing step. This system is capable of evolving complex awareness states as represented by ever larger associations of the original data samples without the need for knowledge bases, conditional rules or the like. Patterns are discerned in an emergent manner. Memory resources can pertain and will likewise self organize in association with distributed database memory sites where awareness states, and the data forms that represent those states first evolved. The manner by which memory resources self organize due to this gravity logic represent a new kind of universal relational database methodology.
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