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Instrumental convergence is a concept in the field of artificial intelligence and decision theory, particularly when discussing the behavior of advanced AI systems. It refers to the idea that many different goals or objectives that might be pursued by an AI could lead to a similar set of intermediate strategies or actions, regardless of the specific ultimate goal it is trying to achieve. In other words, certain instrumental sub-goals or strategies may be broadly useful for a wide range of final goals.