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...
Uložené v:
| Vydané v: | 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 |
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| Hlavní autori: | , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
ACM
01.10.2014
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| Shrnutí: | 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-*". |
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| DOI: | 10.1145/2656075.2661644 |