This article discusses the complexity of tic-tac-toe and various modifications proposed by Martin Gardner, which illustrate that even simple games can display intricate strategic behaviors. These characteristics of games are essential as they offer insights into human cognition, which AI currently struggles to emulate. The article introduces the concept of the Gardner test, where AI must perform under new rules revealed only at gameplay initiation. This test seeks to direct AI development towards achieving artificial general intelligence by assessing their adaptability to unforeseen rules.
Games reflect the complexity of human thought, posing challenges for AI; to achieve artificial general intelligence, models must learn to understand and adapt to rules.
The Gardner test aims to measure an AI's ability to follow game rules revealed only at the start, representing a critical advancement in AI testing.
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