Crystal Lattice Cognition v1.0.0 (English Version): A Bio-Inspired Artificial Intelligence Framework

This document presents the conceptual and mathematical framework of Crystal Lattice Cognition (CLC), a bio-inspired artificial intelligence framework. CLC integrates modal and epistemic logic, concept topology, adaptive memory, and contextual reasoning to enhance AI decision-making. The framework includes detailed mathematical definitions, pseudocode algorithms, example workflows, and future development directions. It is designed for scientific publication and Python implementation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17129148
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Crystal Lattice Cognition v1.0.0 (English Version): A Bio-Inspired Artificial Intelligence Framework

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Crystal Lattice Cognition v1.0.0 (English Version): A Bio-Inspired Artificial Intelligence Framework

article en

Abstract

This document presents the conceptual and mathematical framework of Crystal Lattice Cognition (CLC), a bio-inspired artificial intelligence framework. CLC integrates modal and epistemic logic, concept topology, adaptive memory, and contextual reasoning to enhance AI decision-making. The framework includes detailed mathematical definitions, pseudocode algorithms, example workflows, and future development directions. It is designed for scientific publication and Python implementation.

Zenodo (CERN European Organization for Nuclear Research)
Synaptic Research (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 39%
Geochemistry and Geologic Mapping
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Crystal Lattice Cognition v1.0.0 (English Version): A Bio-Inspired Artificial Intelligence Framework · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS