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Colored Petri Nets and LLMs: A Formal Approach to Verifiable Distributed Applications

By

stuartaxelowen

3mo ago· 6 min readenInsight

Summary

The article explores the intersection of Colored Petri Nets (CPNs) and Large Language Models (LLMs) for building verifiable distributed applications. It explains how CPNs extend traditional Petri Nets by adding data to tokens (colors), enabling them to model complex systems with state and data flow. The author argues that CPNs provide a formal, verifiable framework that can help LLMs generate more reliable code for distributed systems, addressing challenges like concurrency, state management, and correctness verification. The piece discusses how this combination could revolutionize LLM-assisted software development by providing mathematical foundations for system modeling.

Key quotes

· 4 pulled
A big theme in LLM-enabled software dev is that verifiable correctness makes it much easier to take bigger leaps with LLMs.
Colored petri nets (CPNs) are an extension of petri nets. Petri nets are essentially directed bipartite graphs where places can contain tokens, and places are connected by transitions (where the side effects happen).
In petri nets, a single token contains no data, and represents an identity-less tokens location in the system.
While researching for databuild, I recently came across colored petri nets, and instantly saw opportunity.
Snippet from the RSS feed
A big theme in LLM-enabled software dev is that verifiable correctness makes it much easier to take bigger leaps with LLMs. E.g. tests, compilers, state machines, etc. While researching for databuild, I recently came across colored petri nets, and instant

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