Foundation Mechanics
Foundation Mechanics: Harnessing the Power of Self-Organization
Foundation Mechanics emerges as a groundbreaking theory that revolutionizes our understanding of self-organization within natural systems. This intricate theory draws inspiration from the complex fields of quantum field theory and quantum chromodynamics, specifically focusing on the Jahn-Teller effect’s symmetry-breaking phenomena. At its core, Foundation Mechanics explores the dynamic interplay between energy (E) and inverse entropy (S), unveiling a new paradigm for designing self-organizing systems.
Central to this theory is the Jahn-Teller effect (JTE), discovered in 1937, which elucidates how systems spontaneously transition from symmetric to asymmetric states. This fundamental mechanism has profound implications across various scientific domains, including molecular physics, crystal chemistry, and material science. It serves as the theoretical underpinning for understanding the spontaneous symmetry breaking process, where systems inherently shift to lower-energy configurations, despite maintaining their original symmetries in the governing equations.
Building on this foundation, the concept of the General Foundation Curve is introduced. It represents a theoretical construct that maps the relationship between energy and inverse entropy, offering insights into the self-organizational capacities of natural systems. This framework facilitates the creation of self-organizing systems, exemplified by the design of the Octopus Neural System (ONS). The ONS, a massively parallel, fine-grained systolic array, embodies the practical application of Foundation Mechanics. Its design, based on the equations of motion derived from this theory, enables the realization of a self-organizing sensor array.
The sensor results produced by the ONS are tensor fields that encapsulate self-organizing, commutative, engrammatic memories. These multi-dimensional, evolving memories possess unique fingerprint-like properties, offering predictive capabilities upon comparison. This aspect highlights the theory’s potential in advancing our understanding and implementation of self-organizing systems, paving the way for innovations in various scientific and technological fields.
Foundation Mechanics, therefore, stands as a transformative theory that not only deepens our scientific understanding but also provides a blueprint for harnessing the principles of self-organization in nature. Through its application in the design of complex systems like the ONS, it offers a glimpse into the future possibilities of creating intelligent, self-organizing structures, marking a significant leap forward in our quest to mimic the elegance and efficiency of natural processes.
Early 90’s.. it began with Wood’s Receiver-based Optimization
