Showing results for: "field theory" (33 results)
We begin with things - particles, fields, forces - and then build laws and equations to explain how those things behave. This approach has been extraordinarily successful. It is how we arrived at quantum mechanics, general relativity, and the Standard Model.
Relational Field Theory (RFT) has matured into a predictive framework with operational definitions, numerical demonstrations, and practical inference tools.
What allows anything stable to exist at all? Before objects, laws, or equations can be described, something more basic must occur: something must persist long enough to be identified. This shifts the focus from what exists to the conditions under which anything can exist stably.
This article makes those steps explicit. I describe a repeatable cognitive pipeline I call Stained-Glass Thinking, which I have used consistently throughout the development of Relational Field Theory (RFT).
Many physical and computational systems exhibit a familiar behavior: ordered states gradually decay in the presence of noise. Examples appear across science:
Mathematics is often described as the universal language of the universe, a field that transcends cultures and eras to provide the tools for understanding the world. From the ancient geometries of Egypt to modern computational algorithms, mathematics is at the heart of human discovery and technological progress.
A low-energy dynamical approach could give companion AI the gift of long-term relational memory - especially valuable for eldercare.
Modern physics often assumes that the complexity we observe in the universe reflects an underlying complexity in its fundamental structure. Fields, particles, forces, and geometries are typically introduced as independent components, each carrying its own degrees of freedom.
In many areas of physics, the word “singularity” implies the breakdown of equations — an undefined point where the mathematics “fails” or where physical laws suddenly stop working. But this interpretation has always felt philosophically unsatisfying. Why should nature permit a point where its own rules dissolve?
ears pass in schoolrooms where future doctors study life's inner workings, cells, chemicals, and body parts. From books they recall illness patterns, how molecules bond, ways to spot health troubles
India’s space program, led by the Indian Space Research Organisation (ISRO), has evolved from modest experimental launches into a globally recognized scientific and technological enterprise.
Physical quantities and laws emerge from the geometry, coherence, and flow of relational fields. A central idea is relational closure: high-coherence domains form effectively closed regions where stable invariants can persist.
Relational Dominance: A Testable Structural Hypothesis for Navier–Stokes Turbulence
The event horizon of a black hole imposes a fundamental constraint: once matter and information cross it, ordinary recovery of structure through dissipation and re-equilibration becomes dynamically unavailable to external observers.
Using a simple childhood observation as the starting point, we show how shifting from origin-based to boundary-based thinking resolves infinite regress and opens a clearer way to engage with fundamental concepts in physics, time, and existence
Agriculture has always been shaped by the seasons, the soil, and the skilled hands of the farmers who nurture the land. But in the last decade, a new change has quietly entered the fields - Data. As climatic changes are incalculable and the global population climbs towards 10 billion, farmers are being pushed to grow more food with fewer resources.
Explaining The Reciprocity Between Your Brain and Your Belly For the past decade, the scientific community has increased its focus on mental health disorders including anxiety, depression,
article discusses how plant synthetic biology is reshaping biofortification strategies, particularly through approaches such as heterologous pathway engineering and transporter-based redistribution
Modern healthcare is undergoing a silent revolution. Now to treat a disease in the healthcare system, there is no longer a need to wait for symptoms to appear.
Can algorithms predict sickness before you feel it? Explore how AI is using smartwatch data and ECGs to detect diseases like Alzheimer's and AFib early.
