"Just as geneticists often care less about the fruit fly itself than its role as a model organism, AI researchers love chess, because it's one of their model organisms. "Chess been described as the 'fruit fly' of AI research," said Cornell professor and study co-author Jon Kleinberg in a news update published by the American univeristy this week. In other words, they need to teach the robots not only what we know, but how to think like us. The researchers say that a crucial step in bridging the gap between human and machine learning styles is to model "the granular actions that constitute human behavior," as opposed to simply matching the aggregate performance of humans. "However, the ways in which AI systems approach problems are often different from the ways people do, and thus may be uninterpretable and hard to learn from." "As artificial intelligence becomes increasingly intelligent - in some cases, achieving superhuman performance - there is growing potential for humans to learn from and collaborate with algorithms," reads a description of the project from U of T's Computational Social Science Lab. The root goal in developing Maia, according to the study's authors, was to learn more about how to improve human-AI interaction. But the implications of the research actually go far beyond online games. Cool? Certainly - and the project is already helping online chess buffs play more enjoyable matches.
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