Better Than The Best: The Power of Cooperation
نویسندگان
چکیده
We show that when agents cooperate in a distributed search problem, they can solve it faster than any agent working in isolation. This is accomplished by having agents exchange hints within a computational ecosystem. We present a quantitative assessment of the value of cooperation for solving constraint satisfaction problems through a series of experiments. Our results suggest an alternative methodology to existing techniques for solving constraint satisfaction problems in computer science and distributed artificial intelligence.
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