Wisdom Before Code: Architecting Agentic AI through Systems Thinking, Chaos Theory, and Karma

This dataset contains supplementary materials for the whitepaper titled “Wisdom Before Code: Architecting Agentic AI through Systems Thinking, Chaos Theory, and Karma.” It includes conceptual diagrams, architectural illustrations, and design frameworks used to model the Wisdom Layer and meta-agent pipeline in agentic AI systems. The work proposes a novel cognitive foundation using Systems Thinking, Chaos Theory, and Causal Ethics (Karma) to support safe, contextual, and accountable AI decision-making. For full context, refer to the complete paper and training pipeline architecture. This dataverse will be periodically updated with additional visual materials, experimental models, and evaluation results as they become available.本数据集为标题为《智先于码：基于系统思维、混沌理论与业力架构智能体AI (Agentic AI)》的白皮书提供配套补充材料，包含用于建模智能体AI系统中智慧层与元智能体流水线的概念图、架构示意图与设计框架。本项研究提出了一种全新的认知基础框架，依托系统思维、混沌理论与因果伦理学（Causal Ethics，Karma，业力），为安全、具备上下文感知能力且可问责的人工智能决策提供支撑。如需获取完整背景信息，请参阅完整论文及训练流水线架构相关文档。本数据集库（Dataverse）将随后续新增的可视化材料、实验模型与评估结果定期更新。

搜集汇总

背景与挑战

背景概述

该数据集是白皮书《Wisdom Before Code: Architecting Agentic AI through Systems Thinking, Chaos Theory, and Karma》的补充材料，包含概念图、架构插图和设计框架，用于建模代理式AI系统中的智慧层和元代理管道。其核心特点是提出了一种基于系统思维、混沌理论和因果伦理（业力）的新颖认知基础，旨在支持安全、上下文感知和可问责的AI决策，且数据集将定期更新以纳入更多视觉材料、实验模型和评估结果。