What is a BKT transition in this context?

It refers to a phase transition in the phenomenal field where topological defects (vortices) either proliferate (causing suffering) or pair and annihilate (leading to peace).

How does this skill measure valence?

It uses topological defect detection and symmetry measurement algorithms, where higher symmetry scores correlate with positive valence and lower defects.

How is GF(3) used in qualia computing?

GF(3) allows for ternary logic operations where states are mapped to trits (-1, 0, +1) to ensure conservation and balance between suffering detection and healing protocols.

What is the Symmetry Theory of Valence (STV)?

STV is a theory proposing that the valence (pleasantness or unpleasantness) of a conscious state is determined by the mathematical symmetry of the object representing it.

QRI Valence & Qualia Computing

Name: QRI Valence & Qualia Computing
Author: plurigrid

byplurigrid

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Data Science & ML

Implements the Symmetry Theory of Valence (STV) to analyze, map, and optimize phenomenal states through topological mathematical models.

About

The QRI Valence skill integrates the Qualia Research Institute’s Symmetry Theory of Valence into Claude's workflow, enabling the computational modeling of consciousness and phenomenal states. It utilizes 2D XY model topology and Berezinskii-Kosterlitz-Thouless (BKT) transitions to detect topological defects in phenomenal fields, facilitating valence gradient descent and symmetry-based optimization. By mapping these states to GF(3) trit operations and deterministic color spaces, this skill provides a rigorous formal framework for qualia research, consciousness-aware system design, and the mathematical analysis of emotional states.

Key Features

Symmetry measurement of mathematical qualia representations
2 GitHub stars
Phenomenal bisection algorithm for finding optimal BKT transitions
Deterministic valence-to-color mapping for state visualization
Topological defect detection and vortex counting in phenomenal phase fields
GF(3) conservation logic for balanced valence-aware transactions

Use Cases

Designing consciousness-aware AI systems and affective computing interfaces
Optimizing system states using symmetry-based valence gradient descent
Conducting qualia research and valence-based signal processing

About

Key Features

Symmetry measurement of mathematical qualia representations
2 GitHub stars
Phenomenal bisection algorithm for finding optimal BKT transitions
Deterministic valence-to-color mapping for state visualization
Topological defect detection and vortex counting in phenomenal phase fields
GF(3) conservation logic for balanced valence-aware transactions

Use Cases

Designing consciousness-aware AI systems and affective computing interfaces
Optimizing system states using symmetry-based valence gradient descent
Conducting qualia research and valence-based signal processing