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Mandinka Game
Ruleset: Mandinka Game (Ludii 5)

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:
Home: the bottom sites of the board for P1
Home: 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 Home or Home if the total number of vertex in the location of the piece is greater than 0 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: true, captureRule: true, type: Vertex, includeSelf: true then Each turn, where the site is within track of board, if the total number of vertex in current site is in sites [2,4,6], from vertex in current site to vertex Player the moving player's hand site 0 moveRule: true.
Aim:
If 0 is equal to the total number of vertex in track of board, the game ends and the player with the highest score wins.

Reconstruction Details

Combined Score: 0.926
Cultural Score: 0.896
Conceptual Score: 0.963

Geographical Score: 0.957 (~860km)

Based on:
1. Oure Ngat / Senegal 2. Oure Ngat / Senegal

Concepts

Browse all concepts for Mandinka Game (Ludii 5) 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 6) Reconstructed with Ludii
Mandinka Game (Ludii 7) 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.3968

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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