The Practical Value of Game AI

 The Practical Value of Game AI

What is it about board games and video games that attract artificial intelligence research so much? It started with the checker-playing algorithms in the 1950s, where researchers were amazed at the “thinking” the checker-playing algorithms exhibited. That was followed by chess which became a focal point of AI research all the way to the 2000s. Fast-forwarding to 2015.

A Viral video of a neural network playing super Mario increased mainstream interest in video game AI, and made its way beyond the video game developers’ niche and into mainstream data science banter.

For video : 

Quote: It is a bad idea to intuit how broadly intelligent a machine must be or have the capacity to be, based solely on a single task.

The checkers-playing machines of the 1950s amazed researchers and many considered these a huge leap towards human-level reasoning,
yet we now appreciate that achieving human or superhuman performance in this game is far
easier than achieving human-level general intelligence. In fact, even the best humans can easily be defeated by a search algorithm with simple heuristics. Human or superhuman performance in one task is not necessarily a stepping-stone towards near-human performance across most tasks.

— Luke Hewitt

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