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  text: 'An imitation-based [2c advanced agent] (or [42h pseudoagent]) is an AI whose central loop, rather than observe-predict-act as in a standard agent, is "output the behavior that matches as closely as possible what a reference human would do".  The central idea is that, (a), this is a much easier behavior to define in terms of today's supervised learning paradigms, and (b), maybe this gets rid of many [450 undesirable] behaviors that (b1) stem from being a consequentialist agent with goals and (b2) are clearly not what the reference human would do.  An archetypal kind of [1w4 act-based agent].  Invented by [3] as the base case of larger proposals to have AIs recursively imitate human+AI systems.',
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