![]() ![]() If a live cell has exactly two or three live neighbors, it survives.If a live cell has more than three live neighbors, it dies of overpopulation.If a live cell has less than two live neighbors, it dies of underpopulation.At each timestep, the following simple rules define which cells come to life or stay alive, and which cells die or stay dead: Basically, the Game of Life tracks the on or off state-the life-of a series of cells on a grid across timesteps. What is the Game of Life?īritish mathematician John Conway invented the Game of Life in 1970. ![]() Their findings highlight some of the key issues with deep learning models and give some interesting hints at what could be the next direction of research for the AI community. Titled, “ It’s Hard for Neural Networks To Learn the Game of Life,” their research investigates how neural networks explore the Game of Life and why they often miss finding the right solution. It is an interesting idea that shows how very simple rules can yield very complicated results.ĭespite its simplicity, however, the Game of Life remains a challenge to artificial neural networks, AI researchers at Swarthmore College and the Los Alamos National Laboratory have shown in a recent paper. The Game of Life is a grid-based automaton that is very popular in discussions about science, computation, and artificial intelligence. This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. ![]()
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