theory

This document explains the theoretical foundations of SHAP (SHapley Additive exPlanations), including Shapley values from game theory, the principles that make SHAP unique, and connections to other explanation methods.

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/theory && curl -fsSL https://doutorai.pt/data/lib/skills__theory.md -o .claude/skills/theory/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# SHAP Theoretical Foundation

This document explains the theoretical foundations of SHAP (SHapley Additive exPlanations), including Shapley values from game theory, the principles that make SHAP unique, and connections to other explanation methods.

## Game Theory Origins

### Shapley Values

SHAP is grounded in **Shapley values**, a solution concept from cooperative game theory developed by Lloyd Shapley in 1951.

**Core Concept**:
In cooperative game theory, players collaborate to achieve a total payoff, and the question is: how should this payoff be fairly distributed among players?

**Map

- 🔒 Full content on the Pro plan (€7.99/month) -

Need help with Claude Code?

Ask Dr AI - it explains things simply.

Need a tailor-made solution?

Not sure where to start with AI in your business? Get a free assessment and a tailored plan - no commitment.

Save hours every week with AI, no hassle

Doutor AI gives you 1,859 ready-to-copy AI prompts, by industry and in plain English - plus a complete technical library for those who want to go further.

See plans