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NiSIS - NiMOC
European Co-ordination Action ‘Nature-inspired Smart Information Systems’
Focus Group NiMOC
Nature-inspired Modeling, Optimization and Control
Chairman: Reinhard Guthke, HKI Jena, Germany
Vice Chairman: Ronald Westra, Univ. Maastricht, The Netherlands
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiMOC: 29 Members
K. Bayer, J. Borges, S. Burgess, G. Coghill, R. Dudda,
J. Garibaldi, R. Guthke, M. Hecker, C. Hummert, C.
Igel, S. Jovanovic, K. Leiviskä, J. Lemos, E. Lenart, K.
Lieven, D. Linkens, T. Mendonca, D. Naso, A. Nowe, A.
Offenhaeusser, S. Pizzuti, E. Plahte, M. Pfaff, M. Poel,
P. Rocha, J. Sobecki, K. Tuyls, R. Westra, S. Zellmer
From 10 countries:
AT, BE, DE, FI, IT, NO, NL, PL, PT, UK
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiMOC: Activities
• NiMOC’s Contribution to the Roadmap
• NiMOC’s further Activities
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
Contribution of NiMOC to the NiSIS Roadmap
www.nisis.risk-technologies.com/tte/Roadmap.aspx
1. Introduction
2. State-of-the-Art
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2.3. Modeling and Systems
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3. Applications and Existing Challenges
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3.3. Modeling, Optimization and Control
4. Grand Challenges
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4.3. NiMOC Grand Challenges
5. Impacts
Aachen 2007
Annex...
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiSIS Meeting
on “Grand Challenges and
Impact”
Aachen, Sept 6-7, 2007
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
Accomplisehed Activities 2007
• Special Issue: Lecture Notes in Bioinformatics 4366 (2007),
Eds. K. Tuyls, R. Westra, Y. Saeys, A. Nowé
• Teresa Mendonca, Jose Lemos: Case Study “Case Study:
Contributions to Modeling and Identification of Biomedical
Systems”
• Teresa Mendonca, Jose Lemos: NI Modelling and Control of
Anaesthesia Including a Summer School on Modelling and
Control of Physiological Variables: Nature Inspired Approaches,
Portugal, on May 2-3, 2007
• Michael Pfaff, Reinhard Guthke: NiSIS School and Workshop,
March 15-16, 2007, Jena, Germany, School: “Integrated
Analysis of Transcriptome and Proteome Data”,Workshop on
“Data and Knowledge Based Biomolecular Network
Reconstruction”
• George Coghill: Visit at BCJ and HKI Jena for participation in
the NiMOC Workshop
• NiMOC committee Meeting, Malta, November 26, 2007
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
Accomplisehed Activities
2007
• Teresa Mendonca, Jose Lemos:
Case Study “Case Study:
Contributions to Modeling and
Identification of Biomedical
Systems”
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
Accomplisehed Activities
2007
• Teresa Mendonca, Jose Lemos:
NI Modelling and Control of
Anaesthesia Including a Summer
School on Modelling and Control
of Physiological Variables:
Nature Inspired Approaches,
Portugal, on May 2-3, 2007
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiSIS / JCB / DFG International Spring School and Workshop
Data Mining and Modelling in Systems Biology
International Spring School
Integrative Analysis of Transcriptome and Proteome Data
15th March 2007, Jena/Germany
International Workshop
Data and Knowledge Based Biomolecular Network Reconstruction
16th March 2007, Jena/Germany
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
Accomplisehed Activities
2007
Michael Pfaff, Reinhard
Guthke: NiSIS School,
March 15, 2007, Jena,
Germany
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
Accomplisehed Activities
2007
Michael Pfaff, Reinhard
Guthke: NiSIS Workshop,
March 16, 2007, Jena,
Germany
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiMOC Activities 2007
• NiSIS Spring School on “Integrated Analysis of
Transcriptome and Proteome Data”, Jena, March 15,
2007
• NiSIS Workshop on “Data and Knowledge Based
Biomolecular Network Reconstruction”, Jena, March
16, 2007
70 participants from 6 countries (Austria, U.K., The
Netherlands, Sweden, Swizerland, Germany)
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiMOC Conclusions
(1/3)
Nature-inspired Modelling, Optimization and Control are
dedicated to the investigation of intelligent paradigms
existing in Nature and studied by systems approaches,
such as Systems Biology, in order to learn from them
how to better design smart, i.e. intelligent, adaptive and
advanced information systems.
Nature-inspired Algorithms are most appropriate for
problems of optimization, scheduling, chemometrics,
routing, and assignment, management, organization,
and logistics.
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiMOC Conclusions
(2/3)
Regulatory gene expression and cellular signal
transduction may be considered as some kind of data
processing or information processing. Together with
motif recognition on promoters and enhancers they
seem to have the potential for the design of new Natureinspired algorithms of data and information processing.
Within NiSIS, Reverse Engineering in Systems Biology
may also be considered an essential first step to
elucidate/reconstruct some of Nature’s information
processing principles in order to proceed towards design
of more advanced artificial information systems.
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke
NiMOC Conclusions
(3/3)
Approaches to Nature-inspired Modeling, Optimization
and Control represented by NiMOC members are:
•Reverse Engineering
•Fuzzy rule-based modeling
•Linguistic reasoning and fuzzy modeling and inference
•Fuzzification as coarse graining in multiscale modeling and simulation
•Cellular automata, Turing models
•Neuro-fuzzy hybrid models
•Coupling intragranular dynamics with extragranular dynamics
•Modeling from sparse data
•Hierarchical decomposition of decision-making and control
•Modelling self-organizing adaptive behaviour
•Multi-objective optimisation/goal seeking using Particle Swarm Intelligence
•Modelling Coupled moduls
•Artificial Immune System
•Piecewise Linear Dynamic Modeling
•Network Modelling and Simulation from sparse, incomplete and uncertain data
NiMOC: Nature-inspired Modeling, Optimization and Control
R. Guthke