# Ludologium Full Machine Manifest (`ludologium.com/llms-full.txt`)

## Thesis
A computational atlas of games, play, mechanics, and strategy.
A game is a system of rules that produces behavior. Ludologium studies what emerges.

## Primary Ontological Entities
- Game: A formal, closed, or open system characterized by agents, rules, states, and payoffs.
- Rule: A state-transition constraint mapping $(S_t, A_t) \to S_{t+1}$.
- Mechanic: A recurring operational pattern emerging from one or more rules (e.g., Worker Placement, Deck Building).
- Payoff Matrix: A mathematical representation of utility assignments across agent strategy profiles.
- Game Tree: An extensive-form directed graph of decision nodes, chance nodes, and terminal states.

## Canonical Primary Sources
1. BoardGameGeek XML API: BGG game IDs, rank mechanics, designer networks.
2. Steamworks Web API: Player concurrency, global achievement statistics.
3. Riot Games Developer API: Match telemetry and competitive balance data.
4. FIDE Rating Downloads: Official chess rating lists and federation demographics.
5. DeepMind OpenSpiel: Executable game theory environments.
6. USPTO PatentsView: Video game apparatus and mechanics patent records.
7. Library of Congress: Historical rulebooks, sugoroku, and software preservation.
8. Smithsonian Open Access: 18th-20th century board game physical artifacts.
9. ESRB: Rating descriptors and interactive elements ontology.
10. SEC EDGAR: Public gaming company 10-K filings and segment reporting.

## Machine Endpoints
- JSON-LD FAQ Schema: Embedded in DOM via `<BranchingFAQTree>`
- W3C DTCG Tokens: `https://ludologium.com/tokens.json`
- Sitemap Index: `https://ludologium.com/sitemap.xml`