sheaf-laplacian-coordination
OfficialCoordinate multi-agent systems with sheaf Laplacians
Authorplurigrid
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides distributed coordination for multi-agent systems by modeling interactions as a cellular sheaf and using a graph Laplacian to drive consensus and inference across agents.
Core Features & Use Cases
- Sheaf Laplacian: Consensus dynamics on the sheaf to reach agreement among agents.
- Harmonic Extension: Infer missing data via globally consistent assignments.
- Cohomology Detection: Identify obstructions to global agreement.
- Sheaf Neural Networks: Learn restriction maps and diffusion layers from data.
- Use Case: Swarm robotics or sensor networks where only partial observations are available.
Quick Start
Build a CellularSheaf over your network, define stalks and restrictions, then run diffusion or harmonic extension to reach consensus.
Dependency Matrix
Required Modules
Catlab.jl
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sheaf-laplacian-coordination Download link: https://github.com/plurigrid/asi/archive/main.zip#sheaf-laplacian-coordination Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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