TY - GEN
T1 - Exploration and analysis of the evolution of strategies for Mancala variants
AU - Divilly, Colin
AU - O'Riordan, Colm
AU - Hill, Seamus
PY - 2013
Y1 - 2013
N2 - This paper describes approaches to evolving strategies for Mancala variants. The results are compared and the robustness of both the strategies and heuristics across variants of Mancala is analysed. The aim of this research is to evaluate the performance of a collection of heuristics across a selection of Mancala games. The performance of the individual heuristics can be evaluated on games with varying rules regarding capture rules, varying number of pits per row and for different seeds per pit at the start of the game.
AB - This paper describes approaches to evolving strategies for Mancala variants. The results are compared and the robustness of both the strategies and heuristics across variants of Mancala is analysed. The aim of this research is to evaluate the performance of a collection of heuristics across a selection of Mancala games. The performance of the individual heuristics can be evaluated on games with varying rules regarding capture rules, varying number of pits per row and for different seeds per pit at the start of the game.
UR - https://www.scopus.com/pages/publications/84892393012
U2 - 10.1109/CIG.2013.6633628
DO - 10.1109/CIG.2013.6633628
M3 - Conference Publication
SN - 9781467353113
T3 - IEEE Conference on Computatonal Intelligence and Games, CIG
BT - 2013 IEEE Conference on Computational Intelligence in Games, CIG 2013
T2 - 2013 IEEE Conference on Computational Intelligence in Games, CIG 2013
Y2 - 11 August 2013 through 13 August 2013
ER -