FOCAS is a coordination action in the area of collective adaptive systems. It provides increased visibility to the research carried out by projects funded by the FOCAS FET Proactive Initiative and others in research fields related to collective adaptive systems. The primary role of the project is to integrate, coordinate and disseminate
Its objectives are as follows:
• to help coordinate and improve communication between the research projects funded under the FET FOCAS Proactive Initiative
• to strengthen research collaboration between members of these FOCAS research projects and international researchers in the areas covered by collective and adaptive systems, ensuring that scientific ideas are expanded beyond national and regional boundaries
• to help train a new generation of researchers, extending the demand for teaching and learning in these fields within universities and research centres
• to extend the public visibility of FOCAS research, and its expected societal impact in a manner
which can be accessible to all in a well-informed debate
• to stimulate improved collaboration between research fields to identify new and emerging research areas, in particular to provide the means which allow individuals to consider new methods or new insights for designing collective adaptive systems
FOCAS is a EU Framework Programmes project funded by EU FP7.
Carried out in collaboration with and others.
For further information please refer to http://focas.eu.
The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.
Information visualisation is the use of enhanced Graphical User Interfaces (GUIs) to communicate and interact with complex data sets such as social networks, multiattribute tables, and financial data. Pages of text and numbers are not the most effective way to communicate or understand information.
The institute's expertise in software engineering encompasses the entire development lifecycle, and we focus on developing the approaches and tools to improve the engineering process of both emerging and widely used software systems.
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Director of Research
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Director of CEC
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(not currently an institute member)
Smith, R. (2014). General and craniofacial development are complex adaptive processes influenced by diversity. Australian Dental Journal, 59, (1), 1-10.
Cabri, G. (2013). An immune network approach for self-adaptive ensembles of autonomic components: a case study in swarm robotics. In: (Ed.) Proceedings of ECAL 2013 - 12th European Conference on Artificial Life, , () ( ed.). (pp. ). : . MIT Press.
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