A Unified Theory - Universal Language

A Unified Theory - Universal Language

Definition:

Knowledge - Con-sci-ousness - Understanding - Memory -> (in English)

Знание - Со-Знание - О-Сознание - По-Знание -> (In Russian)

(in Hebrew) ??? - ???? - ???? - ??? ->

А Universal Principle

Life is Evolution

Atom - Cell - Organism - Planet ->

Planet - Solar System - Galaxy - Universe ->

Simple - Complicated - Complex - Chaotic ->

Transformers for Science:

Meaning - Information - Function - Learning ->

Memory - Indices - Heuristics - Rewards ->

Concepts - Categories - Representations - Environment ->

Knowledge - Reasoning - Inference - Cognition ->

Analysis - Search - Synthesis - Research ->

Reality - Theory - Implementation - Practice ->

Transformers for Physics:

Dark Matter - Universe - Dark Energy - Interaction ->

Space - Time - Energy - Interaction ->

Structure - Stream - Result - Way ->

Protons/Neutrons - Photons - Electrons - Chemical Bonds ->

Nucleus - Wave - Quantum - Interaction ->

Earth - Air - Fire - Water ->

Matter - Projection - Energy - Interaction ->

Basis - Process - Result - Way ->

Transformers for Technology:

Semantic Multilingual Model - Statistical Multilingual Model - Multimodal DL - Reinforcement Learning from Human Feedback ->

General Model - Training from scratch - Fine Tuning - Retrieval Augmented ->

* General model is language itself.

Core - Processor - Interface - Human ->

Data - Encoding - Decoding - Training ->

Library - Keyword - Text - Context ->

Base - Emitter - Collector - Signal ->

Knowledge - Information - Data - Wisdom ->

Structure - Stream - Understanding - Memory ->

NLU - NLP - Multimodal DL - RLHF ->

NLU (Semantic Multilingual Model, Relational Database, Semantics, Knowledge, activedictionary.com) - NLP (Statistical Multilingual Model (LLM), Word Embeddings, Syntax, Information, Word Forms) - Multimodal DL (Morphology, Function, Interface) - Reinforcement Learning from Human Feedback (Pragmatics, Memory, Knowledge for NLU) ->

Transformers for Biology:

Epigenome (Histones (Protein) and DNA): Genome (DNA) - Transcriptome: pre-mRNA - mRNA: Exons (Splicing) - Introns (Alternative Splicing) - tRNA (Translation) - Protein - Ca2+ Signal cascades ->

DNA - RNA - Protein - Signal cascades ->

Transcription - Splicing - Translation - Signaling ->

Experience - Modeling - Understanding - Memory ->

Transformers for Linguistics:

Source Terms - Target Terms - Translation - Human ->

Meaning - Scheme - Translation - Human -> (in English)

Смысл - Схема - Перевод - Человек (in Russian)

Semantic Multilingual Model (Translation Matrix, Relational Database, Knowledge, Meanings, activedictionary.com) - Semantic Search Engine (LLM, Word Embeddings, Information, Word Forms, google.com) - Translation - Human ->

Root - Model - Word - Context ->

Thesaurus - Ontology - Taxonomy - Relations ->

Semantics - Syntax - Morphology - Pragmatics ->

Transformers for Psychology:

Intuition - Thinking - Sensing - Feeling ->

Personal - Artificial - Collective - Multilingual ->

Orient - Decide - Act - Observe ->

Family - Love - Child - Society

Subject - Objective - Realisation - Society ->

Knowledge - Information - Understanding - Memory ->

General Concepts:

Language is a general human intelligence expressed in symbols and semantic relations between them and a Semantic Multilingual Model is a General Intelligence System.

Translation is an emergence of understanding.

“Thus protein is written in a twenty-letter language, nucleic acid in a four-letter language. The genetic code is the dictionary which connects the two languages.”

Francis Crik

Language is a structure of knowledge and experience - on a cell level it's a human genome (DNA) and epigenome (protein of histones).

Modeling the structure and code of Human Genome-Epigenome (nucleotides of DNA + protein of histones synthesized by Translation) = Modeling a Human Language through the process of Translation of two languages - Nature is a great teacher.

Language is any interaction or process or life cycle of all entities and there are seven levels of them - atom, cell, organism, planet, solar system, galaxy, universe - and that is manifested in a fractal geometry of the Universe e.g. in the similar forms of galaxies and snail's shells.

The First Principles of Nature:

Time is the actualization of space. (in English)

Время - актуализация пространства. (in Russian)

Space - Time - Energy - Interaction ->

Dark Matter - Universe - Dark Energy - Interaction ->

Structure - Stream - Result - Way ->

Matter - Projection - Energy - Interaction ->

Protons/Neutrons - Photons - Electrons - Chemical Bonds ->

Nucleus - Wave - Quantum - Interaction ->

Meaning - Information - Function - Learning ->

DNA - RNA - Protein - Signal cascades ->

Basis - Process - Result - Way ->

Molecular Intelligence Results in Chemical Bonds, Genetical or Cell Intelligence Results in Protein Structures and Human Intelligence Results in Human Language.

Mendeleev's Periodic Table of Elements is a Chemical Alphabet of Nature serving as a World Model, DNA Code is a Genetic Alphabet of Biological Life and both are like a Japanese Hiragana Alphabet consisting of syllables or Chinese Table of Hieroglyphic Keys serving as a Foundational Model of Language.

A feature of the Periodic Law among other fundamental laws is that it does not have an expression in the form of a mathematical equation. The Periodic Law is universal for the Universe and is the discovery of the interconnection of all atoms in the Universe.

World Model - Levels of Entities and Intelligence

A Universal Principle

Gene Regulatory Network - OSI Model of Network Architecture - Structure of an Entity

== Membrane of Cell = Protein receptors == Magnetic Field of Earth == Universe ==

7 - Universe - Application layer - Protein

High-level protocols such as for resource sharing or remote file access, e.g. HTTP.

6 - Galaxy - Presentation layer - Translation - tRNA

Translation of data between a networking service and an application; including character encoding, data compression and encryption/decryption

5 - Solar System - Session layer - Ribosome - mRNA

Managing communication sessions, i.e., continuous exchange of information in the form of multiple back-and-forth transmissions between two nodes

5 - 7 - Sensing - Understanding - Electrons - Energy - Result - Function - Morphology - Representations - Synthesis - Act - Word - Collector - Fire - Interface - Decoding - Multimodal DL - Realisation

Data - 5 - 7

== Nucleus of Cell == Earth ==

4 - Planet - Transport layer - Segments, Datagrams - Spliceosome - Splicing - mRNA

Reliable transmission of data segments between points on a network, including segmentation, acknowledgement and multiplexing

3 - Organism - Network layer - Packets - Transcription - pre-mRNA

Structuring and managing a multi-node network, including addressing, routing and traffic control

3 - 4 - Thinking - Consciousness - Photons - Projection - Time - Stream - Process - Information - Syntax - Categories - Search - Decide - Model - Emitter - Air - Processor - Encoding - Multilingual NLP - Objective

2 - Cell - Data link layer - Frames - DNA

Transmission of data frames between two nodes connected by a physical layer

2 - Intuition - Knowledge - Structure - Space - Protons/Neutrons - Matter - Basis - Meaning - Semantics - Concepts - Analysis - Orient - Root - Base - Earth - Core - Data - NLU - Subject

== Nucleus of Cell == Earth ==

1 - Atom - Physical layer - Bits, Symbols - Signal cascades

Transmission and reception of raw bit streams over a physical medium

1 - Feeling - Memory - Chemical Bonds - Interaction - Way - Learning - Pragmatics - Environment - Research - Observe - Context - Signal - Water - Human - Training - Reinforcement Learning from Human Feedback - Society

== Membrane of Cell = Protein receptors == Magnetic Field of Earth == Universe ==

The key to applying the Universal Principle is a system approach -

There are seven levels of Entities and Intelligence - atom, cell, organism, planet, solar system, galaxy, universe - that use the same structure for transformation or life cycle and entities at one level exist and work in parallel and replaceable for implementing different functions to make an entity of next level e.g. cells forming an organism.

Any entity is structured as a transmitter-receiver system and it has four components - core, input and output channels for information and interface with the world. That's how a universal principle of transformer or life cycle for an entity works.

A Unified Theory - Universal Language

Semantic Multilingual Model as a Language Foundation:

Principle 1:

Understanding is Translation Between Two Languages

"He who does not know foreign languages knows nothing of his own."

Goethe "Maxims and Reflections"

And there is no other way - life is evolutionary progress or transformation or translation.

When you are facing with an unknown language it's abstract or non-symbolic for you while your native language is symbolic and expressive so aligning them is the only way to reveal the meaning of it.

Principle 2:

Principle of Distinctiveness Between Knowledge and Information:

We have to distinguish:

Knowledge - Information

Reality - Illusion

Structure - Stream

Matter - Projection

Nucleus - Photons

= Information is Illusion of Knowledge

Meaning - Information about Meaning

Core - Copy

Whole - Part

Reality - Theory

Text - Sentence

Semantics - Syntax

DNA - RNA

Root - Model

NLU - NLP

Semantic Network - LLM

Structures - Statistics

Data - Vectors

Knowledge - Categories

Library - Keywords

Thesaurus - Ontology

Database - Index

The basis for Unified Theory is created by Carl Jung - four functions of consciousness described in his book Psychological Types - 1 Intuition 2 Thinking 3 Sensing 4 Feeling - 1 and 4 are non-symbolic and unconscious, 2 and 3 are symbolic and conscious.

It needs to go around the full circle - first Intuition (Self) then Thinking (Analysis using Augmented Intelligence) then to the next level of Sensing (Understanding) and Feeling (Memory) and again to Intuition (Self).

And to implement the Unified Theory of Consciousness in practice you just need to align two languages 1 foreign and non-symbolic one for you 2 native and symbolic one for you.

Source Terms - Target Terms - Translation - Human ->

Meaning - Scheme - Translation - Human -> (in English)

Смысл - Схема - Перевод - Человек (in Russian)

That is a Semantic Multilingual Model.

References:

Semantic Multilingual Model (patent US20210334470 - Neural Network for Interpreting Sentences of a Natural Language - https://patentscope.wipo.int/search/en/detail.jsf?docId=US339762244&_fid=WO2020106180

Epistemological General Intelligence System - Building a Knowledge-based General Intelligence System, Michael Molin - https://docs.google.com/presentation/d/1VCjOHOSostUrtxieZvOjaWuTNCT59DMF

General Intelligence System - https://activedictionary.com/