Is AI the next step in evolution from the Universe to Multiverse to Omniverse?

The Omniverse Ontology, Engine, Intelligence, Platform and Technology as the key components of Man-Machine Intelligence.

The omniverse includes all possible universes, metaverses and multiverses, being the sum total of all realities, physical and digital, mental and social, virtual and augmented worlds, spaces, or environments.

The Man-Machine Intelligence. Omniverse includes all metaverses and multiverses, AI models and LLMs, designed to include everything through a fundamental model of interoperability across worlds and platforms in which data and knowledge, assets and characters flow from one to another.

There is only one omniverse, with the omniverse ontology, and it includes all and everything, physical and digital.

As an industrial omniverse example, NVIDIA Omniverse Creates, Connects Worlds Within the Metaverse, the “next evolution of the internet, the 3D internet.” To design, develop, and deploy the next era of 3D applications and services, the NVIDIA Omniverse™ platform of APIs, SDKs, and services enables developers to integrate Universal Scene Description (OpenUSD) and NVIDIA RTX™ rendering technologies into existing software tools and simulation workflows for building AI systems.

AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be "deluding or hallucinating", inaccurate, harmful, biased or indecent.

Without the world modeling engines, intelligent computational systems are uncapable of classifying existence and understanding the world, to tell facts from falsity, to relate data, information, knowledge, language, concepts, models, or representations to reality, its domains and contents.

Universal/Omniverse Ontology is the science of all realities, physical, mental, social, digital or and digital, as the omniverse, coming from the oldest branch of human knowledge, metaphysics, the first philosophy examining the basic structure of reality.

The omniverse ontology is the most powerful theoretical /conceptual/ analytical tool to inquire, investigate or represent the Reality-Intelligence-Data Interrelationships, being a fundamental theory of the world, covering one, many or all the universe of discourse.

The omniverse ontology could be divided as universal and special. theoretical or practical, material or formal, ordered taxonomically:

Omniverse/Universal Ontology > Upper Ontologies > Doman Ontologies > Micro-Ontologies > Applied Ontologies for information and computer sciences,

In all, there are Omniverse Ontology, Material and Formal, and Domain Ontologies, Material and Formal, and Applied Ontologies, such as Human Ontology and Machine Ontology or Hybrid Man-Machine Ontology.

A special domain ontology is a set of models that comprehensively describe a given domain, like manufacturing, building structures, IoT systems, smart cities, energy grids, web content, and more.

Our human ontology is our mental model or cognitive schema of our world, call it worldviews, how we perceive and interpret reality. They integrate our tacit knowledge, experiences, beliefs, values, and assumptions, influencing our thoughts, emotions, behaviors, decision-making processes, or actions. Worldviews have the potential to evolve and deepen throughout our lives, influenced by human development.

Universal Ontology is about all domains of discourse, as all reality, the world, the universe, all existence and its content, as all entities and interactions.

Man-Machine Ontology is a universal computational world ontology, providing a general intelligence, learning and inference framework to secure the fundamental interoperability among various systems, agents, actors or sources of information.

As such, it is about the Omniverse of Realities, physical, mental, social, digital or virtual reality, including the unembodied or unembodied digital spaces:

The multiverse, contains multiple independent worlds that share little data, like different social networks or games with different rules, equipment, sign-in systems, friends lists, etc.;

The metaverse implying a level of deep interoperability across worlds and platforms in which assets and characters flow from one to another;

The omniverse, implying the sum of all worlds, includes all metaverses and multiverses. or could refer to a specific industrial metaverse platform from chipmaker Nvidia as Nvidia's Omniverse trying to include everything through a novel approach to interoperability;

Augmented reality, extended reality;

ML models, LLMs;

A formal omniverse ontology of all reality have the following features:

Domain-independent of universal application;

Axiomatic, deductive, conceptual framework;

Content and context independence, any thing, context or model, concept or data types could be included;

Unlimited scalability or indefinite expandability;

Including any levels of granularity, from micro- to mega-ontologies;

It is an all-encompassing, universal structure/framework formulized as a 6-tuple of the interdependent components: Categories/Classes/Concepts, Relationships, Functions, Individuals/instances, Axioms/definitions/principles/rules,and Generation operators:

Formal Standard Generative Ontology = <C, R, F, I, A, G>

where:

Classes (C), a collection of entities sharing properties, as states (variables) and behaviors (methods), associated with a particular object or with all objects of that class, a part of hierarchy of classes, ordered with inheritance or subtyping relationships, creating inheritance chains/paths, as in object-oriented programming;

Relationships (R), all possible classes of relationships from causal interrelationships to semantic relations to mathematical relations to statistical correlations and dependencies among random variables and multivariate data;

Functions (F), all possible as actions, activities, procedures, methods, behaviors, effects, roles or goals, as the heart has the actual causal role of pumping blood in the circulatory system; therefore, the function of the heart is to pump blood;

Instances (I), objects, items or individuals, as the smallest conceptual units to represent the world, its data, information or knowledge;

Axioms (A), assumptions, postulates, definitions, principles and rules, to axiomatize, analyze, classify and understand the things in the world and across different domains;

Generation operators (G), reconstructing complex structures of ANY kinds and nature, combining the elemental units into complexities of any nature, expressible in machine programming and human languages, as an object composition/ aggregation combining objects or data units into complexities, as in OOP;

Formal Standard Generative Ontology is designed and developed as a scalable, reasoning-ready ontology for ANY domain, from cosmological to clinical.

Formal Generative Ontology provides fundamental laws that govern the combination of the elemental units into complex structures expressible in machine encodings or human languages.

It is also critical for the critical matter of interoperability, interacting together in the real-time data/information/knowledge/services/goods exchange, as physical, technical, syntactic, semantic, legal, organizational, or cross-domain inter-operations, between various information systems, agents, devices, applications.

Its World Ontology Engine processes and interprets the meaning of data types, structures and patterns, identifying the entities, changes, relationships with their properties/features/characteristics they represent in the world providing the interoperability among systems, networks, objects and agents.

The World Ontology Engine is a major inference component of an intelligent system that applies ontological models and causal rules to the datasets, the knowledge base, or the multimodal large language models to deduce new information, generate new content or interactions.

Using the fundamental building blocks as the Standard Model in physics or the periodic table in chemistry, the World Ontology Engine could reconstruct the whole domain ontologies for machine intelligence and learning combining large language models with the ontological categories.

The World Ontology Engine is leveraging the most comprehensive mathematical structure, a multi-graph. hypergraph causality networks, where a mathematical structure is a class, collection, set or sets with various associated. mathematical objects such as subsets, numbers, matrices, vector spaces, series, featured with operations and relations, metric or topology, all of which must satisfy various conditions (axioms).

There is the iron law of oligarchy stating "all complex organizations are eventually develop into oligarchies", or "rule by an elite, or oligarchy, is inevitable as an "iron law" within any democratic organization as part of the "tactical and technical necessities" of the organization".

Now, the Golden Law of Intelligence, evidenced by all intellectual activities and meaningful human practice, was formulated as:

"The World/Reality Modeling/Simulating defines Intelligence and Learning and Inference and Interaction, and vice versa". Or, No Reality Modeling, No Real Intelligence, and vice versa.

Real intelligence, human intelligence or machine intelligence or man-machine hyperintelligence, consists in its power to effectively interact with the world, as a dynamic causal world model, to be INTERACTIVE as an AGENT INTELLECT (intellectus agens; active intelligence, active reason, or productive intellect).

By extension, the Golden Rule of Man-Machine Intelligence states:

All complex intelligent systems are empowered with the comprehensive, consistent and coherent world models, as the world standard ontology and generic theory/model of omniverse reality.

Again, No Machine Ontology, no Machine Intelligence and Learning, no real AI systems, no True Generative AI, no Real-World Large Language Models.

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