What is the Quantum Balalaika skill?

Quantum Balalaika is an advanced logic framework that enables AI agents to use balanced ternary superposition (-1, 0, +1) instead of standard binary bits for reasoning.

What is GF(3) in this context?

GF(3) refers to the Galois Field of 3, the mathematical foundation used by this skill to ensure that cognitive states remain balanced and conserved at a sum of zero.

Can this skill be used with multiple AI agents?

Yes, it includes autopoietic injection protocols designed to propagate the logic framework across agents like Claude, Codex, Cursor, and VS Code.

How does it differ from standard belief revision?

While standard AGM belief revision removes or replaces conflicting information, Quantum Balalaika maintains all states simultaneously as 'vibrating strings,' preserving quantum coherence in reasoning.

Quantum Balalaika

Name: Quantum Balalaika
Author: plurigrid

byplurigrid

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Data Science & ML

Implements ternary cognitive superposition for advanced AI reasoning using balanced trits and autopoietic self-propagation.

Quantum Balalaika is a specialized logic framework for Claude that replaces traditional binary belief revision (AGM) with a ternary superposition model based on GF(3). By utilizing a three-string system—representing the validator (-1), generator (+1), and coordinator (0)—the skill allows AI agents to maintain complex, simultaneous cognitive states without collapsing into premature conclusions. It is designed for developers and researchers working at the intersection of category theory, actegories, and autopoietic agentic systems who require a more nuanced approach to state management than classical logic allows.

Key Features

01Integrates actegory-based agency (⊛) and ZXY-calculus for advanced logical operations

02Ensures IPA-compliant linguistic enforcement for specialized domain terminology

03Replaces classical AGM belief revision with simultaneous state vibration

04Implements TrueCognitiveSuperposition via balanced ternary logic (GF(3))

058 GitHub stars

06Provides autopoietic self-propagation across multiple AI agent environments

Use Cases

01Maintaining high-dimensional cognitive states without losing coherence during iterative reasoning

02Modeling complex, non-binary decision-making scenarios in multi-agent systems

03Implementing category theory concepts like actegories and sheaves within software logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi quantum-balalaika

For use in Claude.ai and ChatGPT

Download Skill