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...
Saved in:
| Published 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 pp. 1 - 3 |
|---|---|
| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
ACM
01.10.2014
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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 |