background Ludii Portal
Home of the Ludii General Game System

   

Home Games Forum Downloads Concepts Contribute Tutorials Tournaments World Map About


 
Quiela DLP Game   

Leaderboard

Period Modern

Region Middle Africa

Category Board, Sow, Four rows

Description

Quiela is a four-row mancala-style board game played by the Jinga people of Angola.

Rules

4x7 board. Three counters in each hole in the outer row; before beginning each player rearranges these as they wish, with the following rules: The leftmost hole in the outer row must have the most counters; Each hole must have equal to or less than the number of the counters as the hole on its left; there can be a maximum of two holes with one counter in the inner row. Initial phase: Sowing occurs in an anti-clockwise direction, and when a counter lands in an occupied hole the sowing continues. When the final counter lands in an empty hole, the turn ends. If the empty hole is in the player's inner row, counters in the opponent's inner row opposite are captured, and if there are also counters in the opponent's outer row hole opposite, these are also taken. The initial phase ends for a player when they have one counter in each hole. After this, players can only move single counters into empty holes. The player who captures all of the opponent's counters wins.

Silva 1995: 103-105.

Ludeme Description

Quiela.lud

Concepts

Browse all concepts for Quiela here.

Evidence Map

1 pieces of evidence in total. Browse all evidence for Quiela here.

Click on any marker or highlighted region to view the evidence relating to it.
To view all regions, please select it from the category options below.

Evidence category:

Evidence coloured based on:

Map style:



Sources

Silva, E. R. S. 1995. Jogos do quadrícula do tipo mancala com especial incidência nos praticados em Angola. Lisbon: Instituto de investigação cientifica tropical.

Identifiers

DLP.Games.250

     Contact Us
     ludii.games@gmail.com
     cameron.browne@maastrichtuniversity.nl

lkjh Maastricht University Data Science and Knowledge Engineering (DKE), Paul-Henri Spaaklaan 1, 6229 EN Maastricht, Netherlands Funded by a €2m ERC Consolidator Grant (#771292) from the European Research Council