What does this research mean for the field?

Agentic artificial intelligence systems become governable, testable, and correctable when their execution routing decisions are made explicit through a structured routing substrate and route cards. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

The paper aims to develop a neuro-network routing substrate for agentic AI systems to improve decision-making processes.

May 17, 2026Open Access

Ratio Ordinis: De Substratis Neuralibus et Reticularibus - A Neuro-Network Routing Substrate for Agentic Artificial Intelligence

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Authors

AHAlfredo Medina Hernandez

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Overview

Randomized trial explores AI routing substrate implementation in intelligent systems, suggesting better governance and risk management.

Key Points

The paper aims to develop a neuro-network routing substrate for agentic AI systems to improve decision-making processes.
Introduced ORO/ORDO as a routing layer for AI systems to select execution paths.
Employed concepts such as activation and inhibition to model task routing.
Developed a route card to record decision-making processes for transparency.
The route card allows AI systems to explain and audit their path choices effectively.
Contributed a neuro-symbolic architecture for better decision-making in AI environments.
Demonstrated how explicit routing can enhance governance in agentic intelligence.

Cite This Study

Alfredo Medina Hernandez (2026) studied this question.

synapsesocial.com/papers/6a095ba67880e6d24efe1765 https://doi.org/10.5281/zenodo.20200949

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May 17, 2026Open Access

Ratio Ordinis: De Substratis Neuralibus et Reticularibus - A Neuro-Network Routing Substrate for Agentic Artificial Intelligence

View Full Paper

Ask AI

Bookmark

Authors

AHAlfredo Medina Hernandez

Discussion

Member takes

Overview

Randomized trial explores AI routing substrate implementation in intelligent systems, suggesting better governance and risk management.

Key Points

The paper aims to develop a neuro-network routing substrate for agentic AI systems to improve decision-making processes.
Introduced ORO/ORDO as a routing layer for AI systems to select execution paths.
Employed concepts such as activation and inhibition to model task routing.
Developed a route card to record decision-making processes for transparency.
The route card allows AI systems to explain and audit their path choices effectively.
Contributed a neuro-symbolic architecture for better decision-making in AI environments.
Demonstrated how explicit routing can enhance governance in agentic intelligence.

Cite This Study

Alfredo Medina Hernandez (2026) studied this question.

synapsesocial.com/papers/6a095ba67880e6d24efe1765 https://doi.org/10.5281/zenodo.20200949

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