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Emergence, Exploration and Learning of Embodied Behavior

机译:所体现的行为的出现,探索和学习

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The real world is full of unexpected changes, contingencies and opportunities. Thus it is virtually impossible to perfectly specify in advance all the conditions, states and outcomes for all the possible actions. The so-called “frame problem” was originally discovered with symbolic reasoning agents [6], but essentially it affects any “intelligent” system that relies on explicit descriptions about the states and actions. For example, in control theory terms, the target system can abruptly deviate from the assumed model of the system dynamics, making the pre-defined control law invalid.
机译:现实世界充满了意想不到的变化,突发事件和机遇。因此,几乎不可能完全指定所有可能的行动的所有条件,状态和结果。所谓的“帧问题”最初发现符号推理代理[6],但基本上它会影响依赖于州和动作的明确描述的任何“智能”系统。例如,在控制理论术语中,目标系统可以突然偏离系统动态的假定模型,使预定义的控制法无效。

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