Abstract
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.
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Kuniyoshi, Y., Suzuki, S., Sangawa, S. (2007). Emergence, Exploration and Learning of Embodied Behavior. In: Thrun, S., Brooks, R., Durrant-Whyte, H. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48113-3_40
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DOI: https://doi.org/10.1007/978-3-540-48113-3_40
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