The following list contains workshops dealing with Organic Computing
SISSY – Workshop on Self-Improving System Integration
Information and communication technology (ICT) pervades every aspect of our daily lives. This inclusion changes our communities and all of our human interactions. It also presents a significant set of challenges in correctly designing and integrating our resulting technical systems. For instance, the embedding of ICT functionality in more and more devices (such as household appliances or thermostats) leads to novel interconnections and a changing structure of the overall system. Not only technical systems are increasingly coupled, a variety of previously isolated natural and human systems have consolidated into a kind of overall system of systems – an interwoven system structure.
This change of structure is fundamental and affects the whole production cycle of technical systems – standard system integration and testing is not feasible any more. The increasingly complex challenges of developing the right type of modelling, analysis, and infrastructure for designing and maintaining ICT infrastructures has continued to motivate the self-organising, autonomic and organic computing systems community.
In this workshop, we intend to study novel approaches to system of system integration and testing by applying self-* principles; specifically we want approaches that allow for a continual process of self-integration among components and systems that is self-improving and evolving over time towards an optimised and stable solution.
SISSY Workshop since 2017: https://sissy.ini.rub.de/
SISSY Workshop 2016: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/SISSY16/
SISSY Workshop 2015: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/SISSY15/
SISSY Workshop 2014: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/SISSY14/
SAOS – Workshop on Self-optimisation in Autonomic and Organic Computing Systems
Initiatives such as Autonomic Computing (AC) and Organic Computing (OC) are based on the insight that we are increasingly surrounded by large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform the required actions and services. The presence of networks of intelligent systems in our environment opens fascinating application areas but, at the same time, bears the problem of their controllability.
Hence, different design concepts (such as the MAPE cycle and the Observer/Controller framework) have been developed to allow for a self-organised control process at runtime that relieves the designer from specifying all possibly occurring situations and configurations within the design process. Instead, the system itself takes over responsibility to find proper reactions on perceived changes in the environmental conditions. As designers are not able to foresee all possibly occurring situations and circumstances the system will face during its operation time, the self-organisation process of the system has to focus on self-optimising the system’s behaviour. Such self-optimising behaviour can be achieved at various levels of the system’s design, ranging from basic control architectures over self-organised coordination or collaboration methods and domain-specific optimisation techniques to the application and customisation of machine learning algorithms. Furthermore, several related topics (e.g. trust and security in collaborative systems) provide necessary functionality to enable self-optimising behaviour in AC and OC systems.
SAOS Workshop 2018: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/oc-ws-arcs18/
SAOS Workshop 2017: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/oc-ws-arcs17/
SAOS Workshop 2016: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/oc-ws-arcs16/
SAOS Workshop 2015: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/oc-ws-arcs15/
SAOS Workshop 2014: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/oc-ws-arcs14/
OC-DDC – Organic Computing Doctoral Dissertation Colloquium
The intent of the DDC is to bring together PhD students who have their research focus within the broader Organic Computing community and will not have defended their thesis before June 2016. The main goal of this colloquium is to foster excellence in OC-related research by providing students feedback and advice that are particularly relevant to their doctoral studies and career development. Each participant will take part in the colloquium organisation and the review process for the other participants. Two keynote speakers will present current research in the field. Speakers will be available during the OC-DDC and participate in the feedback process for the PhD students.
OC-DDC 2018: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/OC-DDC18/
OC-DDC 2017: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/OC-DDC17/
OC-DDC 2016: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/OC-DDC16/
OC-DDC 2015: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/OC-DDC15/
OC-DDC 2014: https://www.informatik.uni-augsburg.de/de/lehrstuehle/oc/Veranstaltungen/OC-DDC14/