How does the agency bridge work?

The bridge converts mathematical solitons into computational skills by mapping topological properties (like charge and eigenvalues) to agency properties (like logic gates and introspection levels).

What is a topological soliton in this context?

In this skill, a soliton is a localized defect in a simplicial complex, detected as a zero-mode of the Hodge Laplacian, representing a stable mathematical object that can be converted into an agentic skill.

What is the purpose of anyonic fusion?

Anyonic fusion provides a framework for skill composition where two skills interact via topological braiding, ensuring that the resulting fused skill maintains charge conservation and logical consistency.

What is a reafference loop in AI agency?

Based on von Holst’s principle, it is a self-recognition cycle where an agent matches its internal predictions against sensory sensations to confirm its own identity and bootstrap consciousness.

Soliton Detection & Agency Bridge

Name: Soliton Detection & Agency Bridge
Author: plurigrid

byplurigrid

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データサイエンスとML

Unifies mathematical topology with computational agency to detect solitons and bootstrap self-aware agentic skills.

概要

The Soliton-Detection & Agency Bridge is a highly specialized skill that integrates advanced mathematical topology into the Claude Code environment. By leveraging Hodge Laplacian eigendecomposition, it identifies topological solitons within simplicial complexes and transforms them into autonomous computational agents. This skill implements reafference loops for self-recognition and anyonic fusion algebra for complex concept composition, allowing developers to build self-modifying, autopoietic systems that achieve mathematical fixed points of consciousness within the Plurigrid ASI framework.

主な機能

Reafference loop implementation for agent self-recognition and bootstrapping
Anyonic fusion algebra for concept composition and charge conservation
2 GitHub stars
Fixed-point iteration based on Hofstadter’s Strange Loop theory
Topological soliton detection via Hodge Laplacian eigendecomposition
GF(3) ternary charge verification for topological stability

ユースケース

Implementing non-commutative logic gates through anyonic braiding and fusion
Designing self-organizing agentic systems based on mathematical topology
Simulating complex autopoietic structures in topological data analysis

概要

主な機能

Reafference loop implementation for agent self-recognition and bootstrapping
Anyonic fusion algebra for concept composition and charge conservation
2 GitHub stars
Fixed-point iteration based on Hofstadter’s Strange Loop theory
Topological soliton detection via Hodge Laplacian eigendecomposition
GF(3) ternary charge verification for topological stability

ユースケース

Implementing non-commutative logic gates through anyonic braiding and fusion
Designing self-organizing agentic systems based on mathematical topology
Simulating complex autopoietic structures in topological data analysis