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Towards a Formal Model of Recursive Self-Reflection

Author Axel Jantsch

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ACM Subject Classification
  • Computer systems organization → Embedded and cyber-physical systems
  • Computer systems organization → Self-organizing autonomic computing
Keywords
  • Cyber-physical systems
  • self-aware systems
  • self-reflection
  • self-assessment

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Abstract

Self-awareness holds the promise of better decision making based on a comprehensive assessment of a system’s own situation. Therefore it has been studied for more than ten years in a range of settings and applications. However, in the literature the term has been used in a variety of meanings and today there is no consensus on what features and properties it should include. In fact, researchers disagree on the relative benefits of a self-aware system compared to one that is very similar but lacks self-awareness.
We sketch a formal model, and thus a formal definition, of self-awareness. The model is based on dynamic dataflow semantics and includes self-assessment, a simulation and an abstraction as facilitating techniques, which are modeled by spawning new dataflow actors in the system. Most importantly, it has a method to focus on any of its parts to make it a subject of analysis by applying abstraction, self-assessment and simulation. In particular, it can apply this process to itself, which we call recursive self-reflection. There is no arbitrary limit to this self-scrutiny except resource constraints.

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Axel Jantsch. Towards a Formal Model of Recursive Self-Reflection. In Workshop on Autonomous Systems Design (ASD 2019). Open Access Series in Informatics (OASIcs), Volume 68, pp. 6:1-6:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/OASIcs.ASD.2019.6

Author Details

Axel Jantsch
  • TU Wien, Vienna, Austria

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