2021 Workshop on Self-Aware Computing (SeAC 2021)
During the past decade, many different research communities have explored the aspects of self-awareness in computing systems, each from their own perspective. Relevant work can be found in different areas including autonomic computing, self-adaptive and self-organizing software and systems, machine learning, artificial intelligence and multi-agent systems, organic computing, context- and situation-aware systems, reflective computing, model-predictive control, as well as work from the models@run-time community.
The workshop on self-aware computing (SeAC) provides a forum for the exchange of ideas and experiences in the interdisciplinary area of self-aware computing, fostering interaction and collaborations between the different research communities interested in self-aware computing systems. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven algorithms and architectures for self-aware computing systems, which brought together 45 international experts.
As proposed by the seminar and documented in a recent Springer book on the topic, self-aware computing systems are understood in a broad sense seeking to integrate the different ways in which this term is used in the interdisciplinary research landscape.