Topological Vortex Theory and Its Applications in Artificial Intelligence (1)

0
897

Abstract

Topological Vortex Theory (TVT) is an interdisciplinary theoretical framework based on a spacetime dynamic network model. It aims to simulate and understand the dynamic behaviors of complex systems through the topological evolutionary characteristics of vortices. This theory not only provides a mechanism for information processing and learning in artificial intelligence (AI) that more closely resembles biological neural networks, but also offers novel modeling perspectives for fundamental physics issues such as quantum gravity and the nature of spacetime. This paper systematically elaborates the core connotations of TVT, including spacetime dynamic network modeling, dynamic memory mechanisms, nonlinear thinking simulation, multimodal information integration, self-organizing learning, quantized decision-making, temporal-causal extension, paths to quantized gravity, and its pursuit of unification. Furthermore, it explores the application potential and theoretical significance of TVT in both AI and fundamental physics research.

Keywords: Topological Vortex Theory; Spacetime Dynamic Network; Artificial Intelligence; Memory Model; Quantum Gravity; Interdisciplinary Modeling

1.Introduction

As research into complex systems deepens, traditional modeling methods face limitations in describing highly nonlinear, dynamically adaptive, and multimodal interactive systems. Inspired by biological neural networks and physical spacetime structures, Topological Vortex Theory (TVT) proposes a dynamic network model based on the evolution of spacetime vortices. This model simulates processes such as information transmission, memory storage, and learning adaptation through changes in topological structure, thereby not only advancing the development of brain-like artificial intelligence but also providing new mathematical tools for understanding the fundamental interactions between spacetime and matter.

The foundation of TVT is built upon quantized topological excitations. As a fundamental topological defect, the morphology and dynamics of a vortex can be precisely described by topological invariants such as winding numbers[1]. This core concept has been extended from early classical fluid vortices[2] to the realm of quantum fluids[3], providing a solid physical basis for the theory. Furthermore, modern research has integrated knot theory with field theory[4], offering crucial mathematical tools for understanding the complex structures of spacetime vortex networks, such as the interlocking of vortex chains and vortex rings[5]. On a methodological level, helicity is recognized as a key physical quantity for characterizing the three-dimensional topological structure of vortices. Its conservation properties and numerical simulation methods provide an effective approach for studying the spacetime evolution of vortex fields[6].

This paper aims to systematically elaborate the theoretical connotation of TVT and analyze its cross-application value in AI and physics.

Site içinde arama yapın
Kategoriler
Read More
Shopping
คู่มือเลือกใช้ RELX Infinity Plus และหัวพอต
สำหรับผู้ที่กำลังมองหา relx infinity...
By Joe Zhou 2025-10-25 02:40:45 0 1K
Sports
Underwater Fishing Camera
Underwater Fishing Camera (水下可视钓鱼器) Calling all outdoor fishing enthusiasts ! I use a...
By Xiaofan Wang 2025-08-20 07:49:50 0 2K
Other
Driving Innovation in Insurance: Growth of the Telematics-Based Auto Insurance Market
The Telematics Based Auto Insurance Market Share is expanding rapidly as the...
By TRAVEL Radhika 2025-10-31 07:15:49 0 1K
Shopping
怎麼確認購買的ILIA一代煙彈是原廠貨?
隨著ILIA電子菸產品熱銷,市面上仿冒品也隨之增加,尤其是一代煙彈因流通量大,更容易被不肖商家以假亂真。這些電子菸煙彈仿品不僅風味失真、擊喉感異常,更可能因使用劣質材料對健康造成潛在風險。因此,...
By Lin Lin 2026-01-28 03:50:37 0 610
Shopping
สัมผัสใหม่แห่งการสูบกับ RELX รุ่นหก จากเยว่เค่อ
relx เป็นแบรนด์บุหรี่ไฟฟ้าที่ได้รับความนิยมสูงมากในกลุ่มผู้สูบยุคใหม่...
By Joe Zhou 2025-07-30 01:53:43 1 2K