behaviour-surprisal-analysis
✓Behaviour Surprisal Analysis
Installation
SKILL.md
Status: Production Ready (v3.0 - Cat# Integration) Trit: 0 (ERGODIC - measurement/observation) Principle: S(x) = -log₂(P(x|attentionmode)) Frame: Tri-channel prediction evaluation with AGM belief revision + Cat# bicomodule structure
Behaviour Surprisal Analysis calculates information-theoretic surprise between predictions and observed outcomes using three complementary attention channels mapped to Cat# = Comod(P) structure:
| Channel | Trit | Home | Poly Op | Kan Role | Description |
Behaviour Surprisal Analysis Source: plurigrid/asi.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/plurigrid/asi --skill behaviour-surprisal-analysis- Source
- plurigrid/asi
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is behaviour-surprisal-analysis?
Behaviour Surprisal Analysis Source: plurigrid/asi.
How do I install behaviour-surprisal-analysis?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/plurigrid/asi --skill behaviour-surprisal-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/plurigrid/asi
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01