Self-Awareness for Autonomous Systems
| Autor: | Carlo S. Regazzoni, Bernhard Rinner, Nikil Dutt, Xin Yao |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Proceedings of the IEEE. 108:971-975 |
| ISSN: | 1558-2256 0018-9219 |
| Popis: | Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties [1] . Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. The articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems. |
| Databáze: | OpenAIRE |
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