“While developing game playing agents that approximate optimal play has been the focus of much of artificial intelligence games research, the strategies found are rarely ever applicable by humans, requiring a lot of processing power and working memory.

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In this work, we discuss how to generate game playing heuristics aimed at beginner players.

Following simple heuristics is not exclusive to novice players. Instead, the theory of bounded rationality reasons that humans make decisions based on the difficulty of the problem at hand, the limitation of their knowledge and the amount of time available. Applying simple heuristics in turn can be more effective, as they are less prone to cause errors in execution.”