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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
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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
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NiMOC Activities

• NiMOCs Contribution to the Roadmap
• NiMOCs further Activities

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Contribution of NiMOC to the NiSIS
Roadmapwww.nisis.risk-technologies.com/tte/Roadma
p.aspx

• 1. Introduction
• 2. State-of-the-Art
• 2.3. Modeling and Systems
• 3. Applications and Existing Challenges
• 3.3. Modeling, Optimization and Control
• 4. Grand Challenges
• 4.3. NiMOC Grand Challenges
• 5. Impacts
• Annex...

Aachen 2007
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NiSIS Meetingon Grand Challenges and
ImpactAachen, Sept 6-7, 2007
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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

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Accomplisehed Activities 2007

• Teresa Mendonca, Jose Lemos Case Study Case
  Study Contributions to Modeling and
  Identification of Biomedical Systems

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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

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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
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Accomplisehed Activities 2007
Michael Pfaff, Reinhard Guthke NiSIS School,
March 15, 2007, Jena, Germany
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Accomplisehed Activities 2007
Michael Pfaff, Reinhard Guthke NiSIS Workshop,
March 16, 2007, Jena, Germany
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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)

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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.
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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 Nature-inspired 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 Natures
information processing principles in order to
proceed towards design of more advanced
artificial information systems.  
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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