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Raquithue
Ruleset: Raquithue (Ludii 2)

Game

See the game Raquithue for more details.

Period(s)

Modern

Summary

Reconstructed with Ludii

Rules

The game Raquithue is played by two players on a noshape board with nobasis tiling.
Player one plays with Lions. Player two plays with Dogs.
Rules for Pieces:
Dogs step forward.
Lions hop orthogonal or step orthogonal or if 1 is equal to State at the location of the piece, slide from the location of the piece in the orthogonal direction through empty then set the state of the Vertex the to location of the last move to 0.
Players take turns moving.
Setup:
Place a Lion for player one at the vertexes with coordinates [D8].
Place a Dog for player two at the bottom sites of the board expanded by 1 steps..
Rules:
Move one of your pieces.
Aim:
If the number of pieces owned by Player the next player is less than or equal to 3, the next player loses.

Reconstruction Details

Combined Score: 0.808
Cultural Score: 0.803
Conceptual Score: 0.814

Geographical Score: 0.654 (~6920km)

Based on:
1. Caturvimsatikosthakatmiki Krida / Kridakausalya 2. Chess / Standard 3. Caturvimsatikosthakatmiki Krida / Kridakausalya 4. Caturvimsatikosthakatmiki Krida / Kridakausalya

Can also be based on:
1) 1. Caturvimsatikosthakatmiki Krida / Kridakausalya 2. Scachs / Scachs 3. Caturvimsatikosthakatmiki Krida / Kridakausalya 4. Caturvimsatikosthakatmiki Krida / Kridakausalya

Concepts

Browse all concepts for Raquithue (Ludii 2) here.

Other Rulesets

Reconstructed rulesets
Raquithue (Ludii 1) Reconstructed with Ludii
Raquithue (Ludii 3) Reconstructed with Ludii
Raquithue (Ludii 4) Reconstructed with Ludii
Raquithue (Ludii 5) Reconstructed with Ludii
Raquithue (Ludii 6) Reconstructed with Ludii
Raquithue (Ludii 7) Reconstructed with Ludii
Raquithue (Ludii 8) Reconstructed with Ludii
Raquithue (Ludii 9) Reconstructed with Ludii
Raquithue (Ludii 10) Reconstructed with Ludii

Identifiers

DLP.GameRulesets.3365

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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