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I'm reading currently through the old papers of Allen Newell and Herbert Simon in the late 1950s about their project to build a general problem solver. As far as i understand the concept of operators right, it is a hierachical planning technique to move a system from a current state to a goal state. On the first look, the General Problem solver seems to be an amazing piece of software, but from the history of AI it is known that this technology wasn't a great success. Why? If a hierarchical planning software is not the right choice for implementing a robot control system what else?

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In theory it is quite an accomplishment during those times , but the main reason GPS works is because the problems should be described in a "well formed format". And it is near impossible to formulate real world problems in that manner (image classification , speech recognition etc).

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