�General Intelligence System�
Building a Knowledge-based General Intelligence System
Michael Molin
General Intelligence System - https://activedictionary.com/
Languages:
Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bengali, Bulgarian, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Georgian, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Javanese, Kazakh, Korean, Kurdish, Kyrgyz, Latin, Latvian, Lithuanian, Malay, Marathi, Norwegian, Persian, Polish, Portuguese, Punjabi, Romanian, Romani, Russian, Sanskrit, Serbian, Slovak, Spanish, Swahili, Swedish, Tagalog, Tajik, Tamil, Tatar, Telugu, Thai, Turkish, Turkmen, Ukrainian, Urdu, Uzbek, Vietnamese, Xhosa, Zulu
Features:
- allows you to organize a detailed semantic analysis of the vocabulary of the text to understand the structure of sentences with the ability to translate both words and phrases, and the text as a whole.
- helps you to systematize and store scientific knowledge in your glossaries and dictionaries.
Technology:
Semantic Multilingual Model - a coherent conceptual model of the world transferred into all the existing languages. The model is represented in wordhippo.com on the level of individual meanings and in powerthesaurus.org on the level of word combinations.
Patents:
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
What is General Intelligence System?
Universal Principle of Transformer: NLU - NLP - DL - RLHF
NLU (Semantic Multilingual Model (activedictionary.com), Semantics, Knowledge) –
Multilingual NLP (Statistical Language Model (LLM), Syntax, Word Forms) –
Multimodal DL (Morphology, Text, Audio, Images, Video, Interaction) –
Reinforcement Learning from Human Feedback (Pragmatics, Knowledge for NLU) →
Translation is an emergence of understanding.
Language is a general human intelligence expressed in symbols and semantic relations between them and a Semantic Multilingual Model is a General Intelligence System.
The First Principles of Nature
General Concepts
Time is the actualization of space. (in English)
Время - актуализация пространства. (in Russian)
Space - Time - Energy - Interaction →
Structure - Stream - Result - Way →
Matter - Projection - Energy - Interaction →
Protons/Neutrons - Photons - Electrons - Chemical Bonds →
Nucleus - Wave - Quantum - Interaction →
DNA - RNA - Protein - Signal cascades →
Mass - Light - Energy - Interaction →
Knowledge - Consciousness - Understanding - Memory →
Intuition - Thinking - Sensing - Feeling →
Meaning - Information - Function - Learning →
Space - Gravity - Quantum - Interaction →
Basis - Process - Result - Way →
Dark Matter - Universe - Dark Energy - Interaction →
Epistemology - Knowledge is Language
Epistemology - System of Knowledge
Происходит от англ. epistemology «эпистемология», составленного из epistem- + -logy. Первая часть — из др.-греч. ἐπιστήμη «умение; знание; наука», далее из ἐπί «на, при, за, согласно», из праиндоевр. *op- «сзади, вокруг», + ἵστημι «ставить», далее из праиндоевр. *sta- «стоять». Вторая часть — из др.-греч. λογία «сбор пожертвований, подаяний» от др.-греч. λέγω «говорю, сообщаю, рассказываю»; родств. λόγος «слово, речь, разум; мнение»; восходит к праиндоевр. *leg- «собирать».
General Intelligence System Goals
Modeling Human Experience - World - Life - Language
Understanding - Sensing - Protein
Con-sci-ousness - Thinking - RNA
Memory - Feeling - Epigenome
Knowledge - Intuition - Genome
General Intelligence System
Multimodal DL
Восприятие
Понимание
Мир
Multilingual NLP
Мышление
Сознание
Жизнь
NLU
Память
Опыт Человека
Живой язык
Reinforcement Learning from Human Feedback
Взаимодействие
General Intelligence System Principles – Step 1�AI-completeness theorem - Solution�
If you can solve one problem in the AI domain, then you can solve them all.
Marvin Minsky
Language is a structure of knowledge and experience - on a cell level it's a human genome (DNA) and epigenome (histones) - Nature is a great teacher.
Modeling the structure and code of Human Genome-Epigenome (nucleotides of DNA + proteins of histones synthesized by translation) = Modeling a Human Language through the process of translation of two languages
Nucleoproteins (DNA + proteins of histones) - 2 languages - language of nucleotides (5 elements) and language of amino acids (20 elements) = 2 languages of translation matrix
20 thousand human genes encoding proteins = 20 thousand key concepts in the language - a basic vocabulary of a human - 20 thousand words - a basic translation matrix
Epigenetic markers of Genome for epigenetic memory = coding of the translated meanings of the matrix (1 - General meaning, 0 - Options) when assembling a pre-translation model
Double structure of DNA for cell division = Transfer Learning of Knowledge using translation
General Intelligence System Principles – Step 2 – Causal relations
Genetic relations are equal to causal relations
Генетика (от греч. γενητως — «порождающий, происходящий от кого-то») — раздел биологии, занимающийся изучением генов, генетических вариаций и наследственности в организмах, наука о генах.
General Intelligence System Principles – Step 3�Central dogma of molecular biology
Геном
Знания
Сигнальная трансдукция – Взаимодействие
An RNA-based theory of natural universal computation - Hessam Akhlaghpour - https://youtu.be/pcEod3-o_pg
Intelligence => Your Memories of the Past + Your Imagination about the Future = Your Decisions in the Present => Recording Memory => The Untold Story of Sanskrit || A film on research about Sanskrit & Computing || Project SHIVOHAM - https://youtu.be/eQqJkm_q93k
Белки
Восприятие
РНК
Мышление
Эпигеном
Память
RNA Processing = Internal modeling = Transcription - Splicing - Translation - Signaling ->
Intelligence = Internal modeling = Analysis - Search - Synthesis - Research ->
General Intelligence System Principles – Step 4
Principle of relativity for time
Время неотделимо от наблюдателя (время неотделимо от трех пространственных измерений и зависит от скорости наблюдателя)
General Intelligence System Principles – Definition
Principle of relativity for consciousness
Мышление неотделимо от носителя (знания природы-геном-инстинкты - опыт человека-культура-эпигеном - его выражение - мышление)
Rules of consciousness
Закон 2 - 4-20
Системы представления концептов -
предметная, внутренняя, имплицитная память, знание, концепты - 4 буквы нуклеотидов ДНК - интуитивный выбор (кратковременная память оперирования предметами-концептами - 4 предмета-концепта - частота слов с количеством слогов в пределах четырех составляет 90-99% в различных языках);
образная, внешняя, эксплицитная память-отражение - со-знание - 20 букв кодирования белков - количество букв в естественном языке (латиница 26 - 6 парных согласных - 20)
Закон 1 - Закон сохранения смысла
Количество концептов или корней слов в языке равно количеству генов, кодирующих белки - 20 тысяч
Rules of consciousness
Закон 3 - Закон сочетаемости в языке
Количество словоформ и устойчивых словосочетаний в языке равно количеству известных белков - 200 миллионов.
Principle of conservation for consciousness - Definition�
“В начале было Слово - Бытие.”
“Логика - принцип сохранения мышления - Гегель”
Слово - последовательность букв языка, выполняющая определенную функцию.
Ген - последовательность букв генетического кода - нуклеотидов, выполняющая определенную функцию.
Principle of conservation for energy
Фундаментальный закон природы, установленный эмпирически и заключающийся в том, что для изолированной физической системы может быть введена скалярная физическая величина, являющаяся функцией параметров системы и называемая энергией, которая сохраняется с течением времени. Поскольку закон сохранения энергии относится не к конкретным величинам и явлениям, а отражает общую, применимую везде и всегда закономерность, его можно именовать не законом, а принципом сохранения энергии.
Principle of conservation for consciousness
Количество генов, выполняющих определенные функции кодирования процесса синтеза белка, в качестве наглядного примера, участвующего в качестве клеточных рецепторов в процессе восприятия - зрение, слух, осязание, обоняние, вкус, пространственная ориентация - важной составляющей процесса мышления, жизни организма, сохраняется для ее поддержания и равно количеству концептов языка - функций объектов, понятий, представлений об окружающем мире.
Semantics
Shared Culture
Shared Language
Shared Interest Domain
Writer’s
Intent
Reader’s
Understanding
Document
Sentence
Word
NLU - Neural Network for Interpreting Sentences of a Natural Language
US20210334470, CN113366484, RU0002699396, WO/2020/106180
A Semantic Neural Network
A Semantic Neural Network
The invention relates to computer systems and is intended for interpreting sentences in natural language. A neural network consists of layers of neurons. A first neuron layer is intended for interpreting the meanings of individual words in a sentence. Intermediate neuron layers are intended for interpreting word groups in a sentence, wherein the number of words in a word group corresponds to the number of the neuron layer. The last neuron layer is represented by an output neuron and is intended for interpreting a sentence on the basis of the word meanings interpreted in the preceding neuron layers. Each neuron of the input and intermediate layers comprises a memory cell intended for storing the meanings of a word or word group. Moreover, in order to improve the quality of interpretation, each such meaning is assigned a binary attribute, the coding of which is described according to the rule that “1” is the primary meaning of a word or word group and “0” is a secondary meaning of the word or word group.
General Concepts
Reinforcement Learning from Human Feedback
This approach to DL is also called augmented intelligence or human-in-the-loop and assumes people and technology are working together. This means certain tasks are completed by an algorithm and some by humans. Also, people can take over a process when the General Intelligence System has reached the limits of its capabilities.
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) כתר - חכמה - בינה - דעת →
Unified Theory is Language.
Unified Theory is World Model.
Reality - Illusion - Truth - Way →
God - Reflection - Understanding - Way →
Nature - Beauty - Truth - Way →
A Universal Principle of Transformation:
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 → (Alan Turing)
Concepts - Categories - Representations - Environment →
Knowledge - Reasoning - Inference - Cognition →
Analysis - Search - Synthesis - Research →
Reality - Theory - Implementation - Practice →
Transformers for Physics:
Space - Gravity - Quantum - Interaction →
Structure - Stream - Result - Way →
Space - Time - Energy - Interaction →
Protons/Neutrons - Photons - Electrons - Chemical Bonds →
Mass - Light - Energy - Interaction →
Base - Emitter - Collector - Signal →
Nucleus - Wave - Quantum - Interaction →
Structure - Force - Result - Way →
Earth - Air - Fire - Water →
Matter - Projection - Energy - Interaction →
Basis - Process - Result - Way →
A Universal Cycle
Dark Matter - Universe - Dark Energy - Interaction →
Universe is Light
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 →
NLU - NLP - Multimodal DL - RLHF →
NLU (Semantic Multilingual Model, Semantics, Knowledge, activedictionary.com) - Multilingual NLP (Statistical Multilingual Model (LLM), Syntax, Information, Word Forms) - Multimodal DL (Morphology, Function, Interface) - Reinforcement Learning from Human Feedback (Pragmatics, Memory, Knowledge for NLU) →
Transformers for Biology:
Cell Model
Genome (DNA): Epigenome (Histones (Protein) and 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 →
Brain Model (Organism-level Model)
Glial Meshwork - Neural Network (Synapses and Axons) - Neuromediators - Blood Vessels →
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)
Root - Model - Word - Context →
Noun - Adjective - Verb - Preposition →
Thesaurus - Ontology - Taxonomy - Relations →
Personal - Artificial - Collective - Multilingual →
Knowledge - Information - Data - Wisdom →
Structure - Stream - Understanding - Memory →
Text - Reading - Understanding - Context →
DNA - RNA - Translation - Signaling →
Semantics - Syntax - Morphology - Pragmatics →
* A word gets its meanings from analysing all the contexts in which the word can appear.
Semantic Multilingual Model (Translation Matrix, Relational Database, Knowledge, Meanings, activedictionary.com) - Semantic Search Engine (LLM, Word Embeddings, Information, Word Forms, google.com) - Translation - Human →
Knowledge - Information - Understanding - Memory →
Translation is an emergence of Understanding.
Transformers for Psychology:
Intuition - Thinking - Sensing - Feeling → (Carl Jung)
Orient - Decide - Act - Observe → (John Boyd)
Subject - Objective - Realization - Society →
Conclude - Plan - Do - Reflect → (David Kolb)
Reality - Illusion - Truth - Way →
God - Reflection - Understanding - Way →
Family - Love - Child - Society →
Nature - Beauty - Truth - Way →
“You can't solve a problem on the same level that it was created. You have to rise above it to the next level.” - Albert Einstein
The key to applying the Unified Theory is a system approach - there are seven levels of entities - 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 are replaceable for implementing different functions to make an entity of next level e.g. cells are forming an organism.
Any entity is structured as a transmitter-receiver system and it has four components - a core, input and output channels for information transmission and an interface with the world.
�
Transformer principle is universal and it resembles an intuitive technology for translation of information into function that forming the universal structure or language that is universal interaction.
Language is any interaction or a process or a life cycle of all entities and that is manifested in a fractal geometry of the Universe e.g. in the similar forms of galaxies and snail's shells.
Nothing is outside language it's reality and it's a universal mechanism or universe - the transformer principle realised in fabric of universe and this principle works at all seven levels of entities. Gravity is its manifestation and maintaining its wholeness.
World Model = Language Model = Universal Laws = Nature is a fractal that repeats in structure - atom, cell, organism, planet, solar system, galaxy, universe. Any entity (not its part) is structured the same way at any level of Nature. All cells in an organism work in parallel.
Foundational Model of Intelligence
Intelligence = Internal modelling = RNA Processing = Transcription - Splicing - Translation = Analysis - Search - Synthesis - System 1 is signal transduction (NLU) and System 2 is a DNA-RNA-Protein way (NLP).
Epistemological General Intelligence System = Knowledge-based General Intelligence System = Neurosymbolic Language Model = NLU - Multilingual NLP - Multimodal AI - Reinforcement Learning from Human Feedback
Relativity Principle for Consciousness
Consciousness cannot be separated from its carrier.
Levels of Entities and Intelligence - Gene Regulatory Network -
OSI Model of Network Architecture - Structure of an Entity
== Membrane of Cell == Protein receptors == Skin == Magnetic Field of Earth == Universe ==
7 - Protein - Universe - Application layer
High-level protocols such as for resource sharing or remote file access, e.g. HTTP.
6 - Translation - tRNA - Galaxy - Presentation layer
Translation of data between a networking service and an application; including character encoding, data compression and encryption/decryption
5 - Ribosome - mRNA - Star System - Session layer
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 == Brain == 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 - DNA - Cell - Data link layer - Frames
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 == Brain == Earth ==
1 - Signal cascades - Atom - Physical layer - Bits, Symbols
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 == Skin == Magnetic Field of Earth == Universe ==
Symbolic Multilingual Model is a coherent conceptual model of the world transferred into all the languages. The conceptual model of the world is presented in wordhippo.com on the level of individual meanings and in powerthesaurus.org on the level of word combinations.
General Intelligence System - https://activedictionary.com/
Symbolic Multilingual Model:
Afrikaans, Arabic, Armenian, Azerbaijani, Bengali, Bulgarian, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Georgian, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Javanese, Kazakh, Korean, Kurdish, Kyrgyz, Latin, Latvian, Lithuanian, Malay, Marathi, Norwegian, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Serbian, Slovak, Spanish, Swahili, Swedish, Tagalog, Tajik, Tamil, Tatar, Telugu, Thai, Turkish, Turkmen, Ukrainian, Urdu, Uzbek, Vietnamese, Xhosa, Zulu
�US2021033447 - Neural network for interpreting sentences of a natural language
https://patentscope.wipo.int/search/en/detail.jsf?docId=US339762244&_fid=WO2020106180
�
NLU (Symbolic Language Model, Ethics, Concepts)
Transformer - Technology of Meaning Extraction�
Tрансформер: транскрипция-сплайсинг-трансляция-сигнальная трансдукция
Tрансформер: NLU - NLP - DL - RLHF →
Tрансформер: Meaning - Information - Function - Learning →
Трансформер: память - процессор - интерфейс - устройство ввода
данные - кодирование - декодирование - обучение
транскрипция - сплайсинг - трансляция - сигнальная трансдукция
ДНК - РНК - белки - сигнальные каскады
интуиция - мышление - восприятие - чувство
анализ - поиск - синтез - наблюдение
знание - сознание - понимание - память
The Functions of Consciousness - Carl Gustav Jung
Трансформер для изучения языков
Language Learning:
Text/Imagination - Reading/Writing/Speaking - Grammar/Understanding - Listening/Feeling/Context →
текст/воображение - чтение/запись/говорение - грамматика/понимание - восприятие на слух/ощущение/контекст →
Linguistic Resources Hub - 64 languages
https://michaelmolin.substack.com/p/linguistic-resources-hub-64-languages
References
Contacts: Michael Molin
https://www.linkedin.com/in/michael-molin-36060aa6
https://twitter.com/thematrixcom
https://sigmoid.social/@MichaelMolin
General Intelligence System - https://activedictionary.com/
Translation is an emergence of understanding.
Natural Language Understanding - https://www.linkedin.com/newsletters/natural-language-understanding-7020382304715911168/
https://michaelmolin.substack.com