Is Hanabi Card Game the Future Challenge for Human AI?

We readily reason and interact with incomplete information and the need to cooperate. Is this sample deceptively simple game challenge a way to model those kinds of human level contexts?  More links to supporting information below.

Google Brain and DeepMind researchers release AI benchmark based on card game Hanabi
in Venturebeat;  By  Kyle L Wiggers

What do Montezuma’s Revenge, chess, and shogi have in common? They’re considered to be “grand challenges” in artificial intelligence (AI) research — i.e., games that involve elements of complex, nearly human-level problem-solving. But as AI continues to make gains in these and other benchmarks once considered beyond the reach of machines, scientists at Google Brain (Google’s AI research division) and Google subsidiary DeepMind are turning their attention to a new domain: the card game Hanabi.

In a paper published on the preprint server Arxiv.org (“The Hanabi Challenge: A New Frontier for AI Research“)  , the team of researchers describes an open source framework — the Hanabi Learning Environment — designed to evaluate algorithmic advances and assess the performance of current state-of-the-art techniques. Hanabi is deceptively complex, they explain: Its two-to-five-person setting necessitates not only cooperative gameplay, but the ability to reason with one’s own mental state about opponents’ intentions..... "