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Lu Qi
Ruleset: Lu Qi (Ludii 9)

Game

See the game Lu Qi for more details.

Period(s)

Medieval

Summary

Reconstructed with Ludii

Rules

The game Lu Qi is played by two players on a 5x5 rectangle board with square tiling.
All players play with Markers.
Rules for Pieces:
Markers hop adjacent or step adjacent.
Players take turns moving.
Setup:
Place a Marker for player one at the bottom sites of the board expanded by 1 steps.
Place a Marker for player two at the top sites of the board expanded by 1 steps..
Rules:
If in the same turn, if there is an enemy Player at to, remove pieces at to then step adjacent then if 2 is equal to the number of sites in 1 is equal to State at current site the sites of the board, Each turn, where the site is within the sites of the board, if 1 is equal to State at current site, set the state of the Vertex current site to 0, else set the state of the Vertex the from location of the last move to 1 and move again, else move one of your pieces.
Aim:
If there are no pieces owned by Player the next player, the next player loses.

Reconstruction Details

Combined Score: 0.883
Cultural Score: 0.84
Conceptual Score: 0.708

Geographical Score: 0.927 (~1460km)

Based on:
1. Juroku Musashi / Juroku Musashi 2. Juroku Musashi / Tsuboi 3. Boxijn Barildaan / Boxijn Barildaan

Can also be based on:
1) 1. Juroku Musashi / Juroku Musashi 2. Juroku Musashi / Juroku Musashi 3. Boxijn Barildaan / Boxijn Barildaan

Concepts

Browse all concepts for Lu Qi (Ludii 9) here.

Other Rulesets

Reconstructed rulesets
Lu Qi (Ludii 1) Reconstructed with Ludii
Lu Qi (Ludii 2) Reconstructed with Ludii
Lu Qi (Ludii 3) Reconstructed with Ludii
Lu Qi (Ludii 4) Reconstructed with Ludii
Lu Qi (Ludii 5) Reconstructed with Ludii
Lu Qi (Ludii 6) Reconstructed with Ludii
Lu Qi (Ludii 7) Reconstructed with Ludii
Lu Qi (Ludii 8) Reconstructed with Ludii
Lu Qi (Ludii 10) Reconstructed with Ludii

Identifiers

DLP.GameRulesets.3791

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lkjh Maastricht University Department of Advanced Computing Sciences (DACS), Paul-Henri Spaaklaan 1, 6229 EN Maastricht, Netherlands Funded by a €2m ERC Consolidator Grant (#771292) from the European Research Council