How search algorithms reflect game playing
Illustration of PPN and CNS as search indicators, applied to several two-person and single-player games. These indicators can bridge search algorithms and entertainment via the analogy of 'motion in mind' to uncover the possible underlying affective experiences. Credit: Hiroyuki Iida from JAIST.
Humans benefit from playing games more than some might realize. Games can be a relaxed approach to learning or honing our problem-solving skills while relieving stress. However, game playing generally carries a considerable amount of decision-making, involving mathematical and statistical considerations that we make to decide on what we think is the best move. Thus, games showcase many of the impressive faculties and inner workings of the human brain, which in turns makes them a great testbed and playground for research on...
