Computing Using Collective Reasoning for Safe Autonomous Systems
Autonomous systems have the ability to interact with the environment and act independently by solving complex tasks without human intervention. However, one of the main challenges when designing autonomous systems is to provide them with the ability to operate correctly and safely in an environment that was not fully known or defined at design time. We present in this talk collective reasoning for increasing reliability in collaborative autonomous systems. We borrow concepts from social epistemology to exploit individual characteristics of autonomous systems, and define and formalize computation rules for collective reasoning to achieve increased safety, trustworthiness and good decision-making.
Selma Saidi is a Professor of Embedded Systems with TU Dortmund. Her research involves the design, implementation, and validation of innovative intelligent embedded systems. Key aspects are the development of novel hardware and software design methods for embedded and autonomous systems where performance, predictability, and self-adaptability play an important role. She has a PhD in computer sciences from the University of Grenoble, Grenoble, France, conducted together with STMicroelectronics (2013). She is an initiator of the DATE Special Initiative on Autonomous Systems Design.
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