A framework of awareness for artificial subjects

We review the concepts of environment-and self-models, semantic interpretation, semantic attribution, history, goals and expectations, prediction, and self-inspection, how they contribute to awareness and self-awareness, and how they contribute to improved robustness and sensibility of behavior. Res...

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Veröffentlicht in:2014 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) : October 12-17, 2014, Jaypee Greens Golf and Spa Resort, New Delhi, India S. 1 - 3
Hauptverfasser: Jantsch, Axel, Tammemae, Kalle
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: ACM 01.10.2014
Schlagworte:
Educational institutions
Engines
History
Monitoring
Predictive models
Robustness
Semantics
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Zusammenfassung:We review the concepts of environment-and self-models, semantic interpretation, semantic attribution, history, goals and expectations, prediction, and self-inspection, how they contribute to awareness and self-awareness, and how they contribute to improved robustness and sensibility of behavior. Researchers have for some time realized that a sense of "awareness" of many embedded systems' own situation is a facilitator for robust and dependable behaviour even under radical environmental changes and drastically diminished capabilities. This insight has recently led to a proliferation of work on self-awareness and other system properties such as self-organization, self-configuration, self-optimization, self-protection, self-healing, etc., which are sometimes subsumed under the term "self-*".
DOI:10.1145/2656075.2661644