Thammatucharee/kirdomicism-framework

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title: "Beyond Synthetic Optimization: Aligning Agentic AI through the Kirdomicism Framework and Humanic Action-Value Dynamics" authors: - Yanyong Thammatucharee tags: - ai-alignment - humanic-intelligence - agentic-frameworks - kirdomicism - aedvm license: cc-by-4.0

Beyond Synthetic Optimization: Aligning Agentic AI through the Kirdomicism Framework and Humanic Action-Value Dynamics

Abstract

Current AI alignment paradigms focus primarily on constraining synthetic agent behavior or aligning reward functions via Reinforcement Learning from Human Feedback (RLHF). However, as autonomous agents scale into complex socio-technical environments, these approaches suffer from systemic brittleness, reward hacking, and the erosion of human operational relevance. This repository introduces Kirdomicism, a formal philosophical and computational framework developed by Dr. Yanyong Thammatucharee. Grounded in the AEDVM architecture, Kirdomicism shifts alignment from passive constraint satisfaction to active, mutual action-value optimization.

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Core Pillars: The AEDVM Framework

1. Anxergy ($\mathcal{A}_x$): The thermodynamic transmutation of environmental anxiety and volatility into directed, proactive operational energy.
2. Dexterience ($\mathcal{D}_x$): The optimization of agile, high-precision human execution and cognitive nimbleness within automated pipelines.
3. Exdysivity ($\mathcal{E}_x$): A formal protocol for shedding unworkable legacy structures or organizational habits without triggering systemic collapse.
4. Avalremy ($\mathcal{V}_r$): The quantitative measurement of human Action-Value contribution within complex synthetic workflows.
5. Ankamayat ($\mathcal{K}_m$): The state of unconcoctability—an agent or human operator's structural immunity to synthetic noise, emotional manipulation, and reactive self-concoction.

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The 5x5 Action Grid Matrix ($M_{5\times5}$)

Kirdomicism bridges philosophical tenets with computational AI research via the Action Grid Matrix, defining an agent's Action-Value Index ($\text{AVI}$):

$$\text{AVI}=\sum _{i=1}^5{w}_i\cdot {\varphi }_i(M_{ii})-\lambda \cdot {\mathcal{R}}_{\text{drift}}\backslash text\{AVI\}\; =\; \backslash sum\_\{i=1\}^\{5\}\; w\_i\; \backslash cdot\; \backslash phi\_i(M\_\{ii\})\; -\; \backslash lambda\; \backslash cdot\; \backslash mathcal\{R\}\_\{\backslash text\{drift\}\}$$

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How to Cite

If you reference Kirdomicism or the AEDVM framework in your AI research or papers, please cite:

@article{thammatucharee2026kirdomicism,
  title={Beyond Synthetic Optimization: Aligning Agentic AI through the Kirdomicism Framework and Humanic Action-Value Dynamics},
  author={Thammatucharee, Yanyong},
  year={2026},
  note={Independent Research / Zenodo DOI & Hugging Face Repository}
}