"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems

Sven Tomforde, J. Hähner, S. Mammen, Christian Gruhl, B. Sick, K. Geihs
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引用次数: 24

Abstract

In many application domains, developers aim at building technical systems that can cope with the complexity of the world they are surrounded with, including other technical systems. Due to this complexity, system designers cannot explicitly foresee every possible situation "their" system will be confronted with at runtime. This resulted in solutions capable of self-adaptation at runtime. Future intelligent technical systems will have to go far beyond such a reactive solution - the general question is: How can systems themselves define new goals and new classes of goals in order to increase their own performance at runtime and without the need of human control or supervision? This paper introduces a definition of "computational self-reflection", proposes an architectural concept, and discusses the potential benefit by means of three exemplary application scenarios. Finally, building blocks to achieve self-reflection are discussed and a basic research agenda is drafted.
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“认识你自己”——智能技术系统中的计算自我反思
在许多应用领域中,开发人员的目标是构建能够处理周围环境复杂性的技术系统,包括其他技术系统。由于这种复杂性,系统设计者不能明确地预见“他们的”系统在运行时将面临的每一种可能的情况。这就产生了能够在运行时自适应的解决方案。未来的智能技术系统将远远超出这种被动的解决方案——一般的问题是:系统自己如何定义新的目标和新的目标类别,以便在运行时提高自己的性能,而不需要人类的控制或监督?本文介绍了“计算自反射”的定义,提出了一个架构概念,并通过三个示例应用场景讨论了潜在的好处。最后,讨论了实现自我反思的基本要素,并起草了基本研究议程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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