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Duqurjin (Dokurgjun, Doghurgin, Dokoz Tash, Dokurgjin)
Ruleset: Duqurjin (Ludii 10)

Game

See the game Duqurjin for more details.

Period(s)

Modern

Summary

Reconstructed with Ludii

Rules

The game Duqurjin is played by two players on a square board with concentric tiling.
All players play with Markers.
Rules for Pieces:
Markers step adjacent then if a player places 3 of their pieces in an orthogonal direction line, move again.
Players take turns moving.
Rules:
If in the same turn, remove pieces at sites occupied by any component owned by Enemy in Board, else from vertex in Player the moving player's hand site 0 to vertex in the set of empty vertexs moveRule: true then if a player places 3 of their pieces in an orthogonal direction line, move again if in the same turn, remove pieces at sites occupied by any component owned by Enemy in Board, else move one of your pieces.
Aim:
If the number of pieces owned by Player the next player is less than or equal to 2, the next player loses.

Reconstruction Details

Combined Score: 0.864
Cultural Score: 0.902
Conceptual Score: 0.826

Geographical Score: 0.905 (~1900km)

Based on:
1. Triodi (Diagonal) / Triodi (Diagonal) 2. Triodi / Triodi 3. Triodi / Triodi

Can also be based on:
1) 1. Triodi (Diagonal) / Triodi (Diagonal) 2. Triodi (Diagonal) / Triodi (Diagonal) 3. Triodi / Triodi
2) 1. Triodi (Diagonal) / Triodi (Diagonal) 2. Triodi (Diagonal) / Triodi (Diagonal) 3. Triodi (Diagonal) / Triodi (Diagonal)

Concepts

Browse all concepts for Duqurjin (Ludii 10) here.

Other Rulesets

Reconstructed rulesets
Duqurjin (Ludii 1) Reconstructed with Ludii
Duqurjin (Ludii 2) Reconstructed with Ludii
Duqurjin (Ludii 3) Reconstructed with Ludii
Duqurjin (Ludii 4) Reconstructed with Ludii
Duqurjin (Ludii 5) Reconstructed with Ludii
Duqurjin (Ludii 6) Reconstructed with Ludii
Duqurjin (Ludii 7) Reconstructed with Ludii
Duqurjin (Ludii 8) Reconstructed with Ludii
Duqurjin (Ludii 9) Reconstructed with Ludii

Identifiers

DLP.GameRulesets.3248

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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