docInteraction Blended Framework
The scientific foundation behind Blankstate's measurement capabilities. IBF is our proprietary approach to understanding human interaction through deterministic, self-supervised analysis.
IBF treats interaction measurement like physics, not statistics. We build instruments that sense specific patterns with known precision—not black boxes that produce probabilistic guesses.
Not accuracy. "How much do we know?" rather than "How sure are we?"
Not keyword matching. Pattern decomposition with mathematical rigor.
Not probabilistic. Same input + protocol = Same output. Always.
Processing Layers
The IBF Engine processes interactions through sequential layers, each contributing to the final measurement.
Raw Data
Ingest interactions (text, audio, video, logs)
Affinity Filtering
Project into C×B×I manifold space
Protocol Sensing
Activate protocols, detect patterns
Entity Association
Identify actors, classify behavior
Causality Analysis
Infer relationships between entities
Metric Calculation
Compute final measurements
Manifold Dimensions
Protocol outputs are positioned across three behavioral dimensions, creating a rich measurement space for interaction analysis.
Cognitive
Reasoning, analysis, evaluation patterns
Behavioral
Communication, collaboration, action patterns
Intentional
Compliance, purpose alignment, goal orientation
The Glass-Box Principle
Every conclusion traces back to evidence. Every transformation is reversible. Every finding links to the source content that triggered it. This is the foundational principle that makes Blankstate fundamentally different from black-box AI systems.