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Ai_for_games_sarg

This repository represents a player client for a digital board game focussing on AI with depth-first Alpha-Beta-pruning including turn sorting. The AI gets optimized through evolutionary learning with the four phases: evaluation, selection, recombination and mutation.

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AI with depth-first Alpha-Beta-pruning including turn sorting and optimization through evolutionary learning

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