An Autonomic Computing Approach for Systemic Self-Regulation

To face the challenges that arise from the ever growing complexity of software-intensive systems, novel scientific and technological methodologies are mandatory. Robots with cognitive abilities that operate under varying environmental conditions in the real world are instances of these systems where new approaches to analyze, understand and control their complex runtime behavior are needed. Hence, this project is located at the crossroads of software engineering, machine learning and human machine interaction technology that exploits the paradigm of autonomic computing to build artificial cognitive systems that feature an increased level of dependability.