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首页> 外文会议>International Symposium on Software Engineering for Adaptive and Self-Managing Systems >Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions
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Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions

机译：适应未知情况作为基于学习的自适应系统的圣杯：研究方向

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Self-adaptive systems continuously adapt to changes in their execution environment. Capturing all possible changes to define suitable behaviour beforehand is unfeasible, or even impossible in the case of unknown changes, hence human intervention may be required. We argue that adapting to unknown situations is the ultimate challenge for self-adaptive systems. Learning-based approaches are used to learn the suitable behaviour to exhibit in the case of unknown situations, to minimize or fully remove human intervention. While such approaches can, to a certain extent, generalize existing adaptations to new situations, there is a number of breakthroughs that need to be achieved before systems can adapt to general unknown and unforeseen situations. We posit the research directions that need to be explored to achieve unanticipated adaptation from the perspective of learning-based self-adaptive systems. At minimum, systems need to define internal representations of previously unseen situations on-the-fly, extrapolate the relationship to the previously encountered situations to evolve existing adaptations, and reason about the feasibility of achieving their intrinsic goals in the new set of conditions. We close discussing whether, even when we can, we should indeed build systems that define their own behaviour and adapt their goals, without involving a human supervisor.
机译：自适应系统不断适应其执行环境的变化。预先捕获所有可能的改变以定义合适的行为是不可行的，或者在未知变化的情况下，可能需要人类干预。我们认为适应未知情况是自适应系统的最终挑战。基于学习的方法用于在未知情况的情况下学习适当的行为，以最小化或完全消除人类干预。虽然这种方法可以在一定程度上概括了对新情况的现有调整，但在系统可以适应一般未知和不可预见的情况之前需要实现许多需要实现的突破。我们将需要探索的研究方向分开，以实现基于学习的自适应系统的视角来实现意外的适应。至少，系统需要定义先前看不见的情况的内部表示，推断与先前遇到的情况的关系，以发展现有的适应，以及在新一套条件下实现其内在目标的可行性的原因。我们关闭讨论是否，即使我们可以，我们也应该确实构建一个定义自己行为的系统并适应他们的目标，而不涉及人类主管。

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