Eliminating Cognitive Ambiguity with Knowledge Relativity Threads

摘要

Today, systems and humans continue to struggle with satisfying the desire to obtain the true essence of, and actionable knowledge from, an ever increasing and inherently duplicative, non-context specific, multi-disciplinary information content. Continuous improvement via increased automation has been the engineering norm for centuries. Now, automation has evolved to autonomous systems research and is our immediate future. Humans are expanding exploration within ever challenging environments generally unfriendly to the physical human condition. Simultaneously, the volume, velocity, variety, and complexity of systems and data continue to increase rapidly. However, development of valuable readily consumable knowledge and context quality continues to improve more slowly and incrementally. New concepts, mechanisms, and implements are required to facilitate the development and competency of complex systems to be capable of discovering the essence of ambiguities during autonomous operation, self-healing, and critical management of internal knowledge economies. They require ever-increasing fidelity of self-awareness of their real-time internal and external operational environments. Presented here are proposed solutions for defining, enhancing, sharing and communicating the essence of inherently ambiguous n-dimensionally related information content and new infrastructure to drive systems towards self-production, presentation, and representation of reliable context-specific knowledge development.