Wisdom Before Code: Architecting Agentic AI through Systems Thinking, Chaos Theory, and Karma
收藏DataCite Commons2025-05-11 更新2025-05-17 收录
下载链接:
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/OERBOV
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资源简介:
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.
提供机构:
Harvard Dataverse
创建时间:
2025-04-21



