From Minimal Existence to Human Definition: The CES-IMU-HSG Theoretical Framework
- URL: http://arxiv.org/abs/2510.13400v1
- Date: Wed, 15 Oct 2025 10:56:09 GMT
- Title: From Minimal Existence to Human Definition: The CES-IMU-HSG Theoretical Framework
- Authors: Kei Itoh,
- Abstract summary: This study presents an inter-universal mathematical-logical framework constructed upon the minimal axiom Cogito, ergo sum (CES)<n>CES defines existence as a reflexive correspondence --'to be' and 'to be sayable'--and positions any formal system as an attachable extension atop this minimal structure.<n>Within this framework, human behavior and cognition emerge as temporal compositions of inter-universal algorithms constrained by the material base.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This study presents an inter-universal mathematical-logical framework constructed upon the minimal axiom Cogito, ergo sum (CES), integrating the Intermediate Meta-Universe (IMU) and the Hierarchical State Grid (HSG). The CES defines existence as a reflexive correspondence --'to be' and 'to be sayable'--and positions any formal system, including ZFC or HoTT, as an attachable extension atop this minimal structure. The IMU functions as a registry of axiomatic dependencies that connect heterogeneous theories, employing the Institution-theoretic framework to ensure coherent inter-theoretical linkages. The HSG concretizes these ideas through categorical construction, defined by three orthogonal axes: the state-depth axis, the mapping-hierarchy axis, and the temporal axis incorporating the principle of 'no future reference.' Through these, the identity of 'definition = state' is formally established as a categorical property. Extending this structure to biological systems, the neural system is implemented as a 0-3D complex of neuron-function fields on the HSG, while its categorical extensions via fiberization over the material base enable the parallel integration of multiple physiological universes-neural, endocrine, learning, genetic, and input/output systems-into a coherent adjoint ensemble. Within this framework, human behavior and cognition emerge as temporal compositions of inter-universal algorithms constrained by the material base. Finally, by contrasting human cognition, which relies on external CES, with machine existence, this study introduces the concept of internal CES, wherein a machine grounds its own logic upon the factuality of its operation. This internal self-axiomatization establishes a continuous bridge between philosophical ontology and engineering implementation, providing a new foundation for the autonomous and self-defining existence of artificial intelligence.
Related papers
- The Trinity of Consistency as a Defining Principle for General World Models [106.16462830681452]
General World Models are capable of learning, simulating, and reasoning about objective physical laws.<n>We propose a principled theoretical framework that defines the essential properties requisite for a General World Model.<n>Our work establishes a principled pathway toward general world models, clarifying both the limitations of current systems and the architectural requirements for future progress.
arXiv Detail & Related papers (2026-02-26T16:15:55Z) - Epistemology of Generative AI: The Geometry of Knowing [0.7252027234425333]
Generative AI presents an unprecedented challenge to our understanding of knowledge and its production.<n>This paper argues that the missing account must begin with a paradigmatic break that has not yet received adequate philosophical attention.
arXiv Detail & Related papers (2026-02-19T06:34:34Z) - Evolving Cognitive Architectures [51.56484100374058]
This article proposes a research and development direction that would lead to the creation of next-generation intelligent technical systems.<n>A distinctive feature of these systems is their ability to undergo evolutionary change.
arXiv Detail & Related papers (2025-12-29T10:09:20Z) - Foundations of Artificial Intelligence Frameworks: Notion and Limits of AGI [0.0]
We argue that artificial general intelligence cannot emerge from current neural network paradigms regardless of scale.<n>We propose a framework distinguishing existential facilities (computational substrate) from architectural organization.
arXiv Detail & Related papers (2025-11-23T16:18:13Z) - The Belief-Desire-Intention Ontology for modelling mental reality and agency [0.15115553092933548]
The Belief-Desire-Intention (BDI) model is a cornerstone for representing rational agency in artificial intelligence and cognitive sciences.<n>This paper presents a formal BDI Ontology that captures the cognitive architecture of agents through beliefs, desires, intentions, and their dynamic interrelations.
arXiv Detail & Related papers (2025-11-21T11:30:17Z) - World Models Should Prioritize the Unification of Physical and Social Dynamics [57.91940497010114]
This paper argues that the systematic, bidirectional unification of physical and social predictive capabilities is the next crucial frontier for world model development.<n>We contend that comprehensive world models must holistically integrate objective physical laws with the subjective, evolving, and context-dependent nature of social dynamics.
arXiv Detail & Related papers (2025-10-24T07:42:37Z) - Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective [53.556348738917166]
Recent advances in agentic AI have led to systems capable of autonomous task execution and language-based reasoning.<n>Human spatial intelligence, rooted in integrated multisensory perception, spatial memory, and cognitive maps, enables flexible, context-aware decision-making in unstructured environments.
arXiv Detail & Related papers (2025-09-11T05:23:22Z) - A Formal Framework for the Definition of 'State': Hierarchical Representation and Meta-Universe Interpretation [0.0]
This study introduces a mathematically rigorous and unified formal structure for the concept of'state'<n>First, a 'hierarchical state grid' composed of two axes--state depth and mapping hierarchy--is proposed to provide a unified notational system applicable across mathematical, physical, and linguistic domains.
arXiv Detail & Related papers (2025-07-14T11:37:35Z) - Modal Logic for Stratified Becoming: Actualization Beyond Possible Worlds [55.2480439325792]
This article develops a novel framework for modal logic based on the idea of stratified actualization.<n>Traditional Kripke semantics treat modal operators as quantification over fully determinate alternatives.<n>We propose a system Stratified Actualization Logic (SAL) in which modalities are indexed by levels of ontological stability, interpreted as admissibility.
arXiv Detail & Related papers (2025-06-12T18:35:01Z) - Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems [69.95482609893236]
Large Language Model-based Multi-Agent Systems (MASs) have emerged as a powerful paradigm for tackling complex tasks through collaborative intelligence.<n>We call for a paradigm shift toward emphtopology-aware MASs that explicitly model and dynamically optimize the structure of inter-agent interactions.
arXiv Detail & Related papers (2025-05-28T15:20:09Z) - Theoretical Foundations for Semantic Cognition in Artificial Intelligence [0.0]
monograph presents a modular cognitive architecture for artificial intelligence grounded in the formal modeling of belief as structured semantic state.<n> Belief states are defined as dynamic ensembles of linguistic expressions embedded within a navigable manifold, where operators enable assimilation, abstraction, nullification, memory, and introspection.
arXiv Detail & Related papers (2025-04-29T23:10:07Z) - Toward the Axiomatization of Intelligence: Structure, Time, and Existence [0.0]
This study aims to construct an axiomatic definition of intelligence within a meta-framework.<n>We formalize a set-theoretic representation of the universe as the domain wherein intelligence exists.<n>We compare and interpret three examples in terms of their intelligence, structural properties, and biological plausibility.
arXiv Detail & Related papers (2025-04-20T12:55:37Z) - Closing the Loop: How Semantic Closure Enables Open-Ended Evolution [0.5755004576310334]
This manuscript explores the evolutionary emergence of semantic closure.<n>It integrates concepts from relational biology, physical biosemiotics, and ecological psychology into a unified computational enactivism framework.
arXiv Detail & Related papers (2024-04-05T19:35:38Z) - A Neuro-mimetic Realization of the Common Model of Cognition via Hebbian
Learning and Free Energy Minimization [55.11642177631929]
Large neural generative models are capable of synthesizing semantically rich passages of text or producing complex images.
We discuss the COGnitive Neural GENerative system, such an architecture that casts the Common Model of Cognition.
arXiv Detail & Related papers (2023-10-14T23:28:48Z) - Kernel Based Cognitive Architecture for Autonomous Agents [91.3755431537592]
This paper considers an evolutionary approach to creating a cognitive functionality.
We consider a cognitive architecture which ensures the evolution of the agent on the basis of Symbol Emergence Problem solution.
arXiv Detail & Related papers (2022-07-02T12:41:32Z) - Provable Hierarchy-Based Meta-Reinforcement Learning [50.17896588738377]
We analyze HRL in the meta-RL setting, where learner learns latent hierarchical structure during meta-training for use in a downstream task.
We provide "diversity conditions" which, together with a tractable optimism-based algorithm, guarantee sample-efficient recovery of this natural hierarchy.
Our bounds incorporate common notions in HRL literature such as temporal and state/action abstractions, suggesting that our setting and analysis capture important features of HRL in practice.
arXiv Detail & Related papers (2021-10-18T17:56:02Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.