Nature Inspired Smart Information Systems
- Biotechnologie
- Forschungscluster "Bioindustrielle Technologien"
Abstract
NiSIS is a European Project under the Co-ordinated Action (CA) scheme with the following overall mission aims: To co-ordinate multi-disciplinary studies and research endeavours into the development and utilisation of intelligent paradigms in advanced information systems design. Information systems manipulate and transmit/receive data in such a manner as to convey information and knowledge between humans and machines. They have across-scale magnitudes of components and complexity in size and behaviour. Intelligent (Information) Systems are able to learn and adapt on-line by either updating parameters or structures of the system in a stable and reliable manner. To extend investigations into emerging new areas inspired by nature, both at biological (i.e. micro) and behavioural (i.e. macro) levels for visionary concepts of information processing and architectures. Under this mission statement, the main objectives of NiSIS are to: Encourage cross-disciplinary team-based thinking to cross-fertilise engineering and life science understanding into advanced inter-operable systems. Progress the theme of adaptivity beyond curiosity and basic earlier engineering concepts and theory, via the spur of naturally-occurring phenomena and self-emergent systems. Elaborate the themes of hierarchy, modularity, redundancy, learning capacity etc in pursuit of greater robustness and reliability against uncertainties, time-variations and fault conditions for large information systems. Incorporate the large body of knowledge on systems dynamics, modelling and identification/estimation into hybrid structures based on intelligent paradigms. Develop a Taxonomy and Strategic Roadmap to describe the state-of-the-art knowledge in the different disciplines about intelligent systems and to signpost a future for integration of deeper nature-inspired concepts into smart devices and systems. This aims to prepare for long term goals leading beyond FP6. Provide training and education across the relevant disciplines via workshops, symposia, Best Practice Guidelines etc. Foster Technology Transfer via competitive team-based feasibility Workshops on realistic benchmarking problems. Co-ordinate the Project with a management structure which fosters cross-disciplinary endeavours via Focus Groups, Task Forces on innovative concepts , Annual symposia etc. Grow a new set of teams/groups via recruitment of new partners/partners steadily over 3 years, with a target of about 100 actively participating members. Encourage promising young researchers in the field, spin-off ventures and SME via interchange of students and researchers using Web-based material and short Schools providing expertise transfer. Establish links with other scientific projects and organisations, such as EU Networks of Excellence, which are working in the generic field of intelligent systems, via Web-site data and information communication.
Project staff
Karl Bayer
Univ.-Prof. i.R. Dipl.-Ing.Dr.nat.techn. Karl Bayer
karl.bayer@boku.ac.at
BOKU Project Leader
01.02.2005 - 31.01.2008
BOKU partners
External partners
Hans-Knöll-Institute for Natural Products Research Dep. for Applied Microbiology
PD. Dr. Reinhard Guthke
sub-coordinator
Management Intelligenter Technologien GmbH
partner