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Mandinka Game
Ruleset: Mandinka Game (Ludii 7)

Game

See the game Mandinka Game for more details.

Period(s)

Modern

Summary

Reconstructed with Ludii

Rules

The game Mandinka Game is played by two players on a 2 x 4 Mancala board with 2 none stores.
Regions:
RegionP1: the bottom sites of the board for P1
RegionP2: the top sites of the board for P2
All players play with null The following pieces are shared by all players: Seeds.
Players take turns moving.
Setup:
Set the count of the vertexes in track of board to 6.
Rules:
Select Vertex in RegionP1 or RegionP2 if 0 is less than the total number of vertex in the location of the piece then Sow with the following rules, startLoc: the to location of the last move, countFn: the total number of vertex in the to location of the last move, numPerHoleFn: 1, origin: false, captureRule: the total number of vertex in to is equal to 2, the total number of vertex in to is equal to 4 or the total number of vertex in to is equal to 6, captureEffect: from vertex in to to vertex Player the moving player's hand site 0 moveRule: true, type: Vertex, includeSelf: true.
Aim:
If the moving player cannot move, the game ends and the player with the highest score wins.

Reconstruction Details

Combined Score: 0.925
Cultural Score: 0.896
Conceptual Score: 0.962

Geographical Score: 0.955 (~900km)

Based on:
1. Wore / Beart 2. Wore / Beart

Concepts

Browse all concepts for Mandinka Game (Ludii 7) here.

Other Rulesets

Reconstructed rulesets
Mandinka Game (Ludii 1) Reconstructed with Ludii
Mandinka Game (Ludii 2) Reconstructed with Ludii
Mandinka Game (Ludii 3) Reconstructed with Ludii
Mandinka Game (Ludii 4) Reconstructed with Ludii
Mandinka Game (Ludii 5) Reconstructed with Ludii
Mandinka Game (Ludii 6) Reconstructed with Ludii
Mandinka Game (Ludii 8) Reconstructed with Ludii
Mandinka Game (Ludii 9) Reconstructed with Ludii
Mandinka Game (Ludii 10) Reconstructed with Ludii

Identifiers

DLP.GameRulesets.3970

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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