[R] Fully interpretable logical learning and reasoning for board game winner prediction with Tsetlin Machine obtain 92.1% accuracy on 6x6 Hex boards

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[Logical learning of strong and weak board game positions](https://preview.redd.it/w0tafbpilim81.png?width=1588&format=png&auto=webp&s=0c7f1c552a741afe088479da98bb342bfc112374)

The approach learns what strong and weak board positions look like with simple logical patterns, facilitating both global and local interpretability, as well as explaining the learning steps. Our end-goal in this research project is to enable state-of-the-art human-AI-collaboration in board game playing through transparency. Paper: [https://arxiv.org/abs/2203.04378](https://arxiv.org/abs/2203.04378)

accuracy boards game learning machine machinelearning prediction reasoning