INTELLIGENT SIMULATION OF COMPLEX SYSTEMS USING IMMUCOMPUTING

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INTELLIGENT SIMULATION OF COMPLEX SYSTEMS USING
IMMUCOMPUTING

• Svetlana P. Sokolova
• Ludmilla A. Sokolova
• St. Petersburg Institute for Informatics and
  Automation of RAS

Kazan, 18-22 of February, 2008
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Contents

• IMMUNOCOMPUTING POSSIBILITIES
• INDEX FORMAL IMMUNE NETWORK
• MATHEMATICAL BASIS
• APPLICATIONS OF THE IMMUNOCOMPUTING APPROACH

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IMMUNOCOMPUTING POSSIBILITIES

• Immunocomputing represents a bridge between
  immunology and computer engineering,
  demonstrating how quantitative advancements in
  immunology can form the basis for a new computing
  paradigm
• Immunocomputing possibilities
• capacity for memory
• the ability to learn and recognize, and make
  decisions in conditions of uncertainty and
  incomplete information
• an excellent information-processing model for
  designing a powerful computing system

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RISK INDEX
Indices reduce large quantities of variable
data (uncertainty, multidimensional and so on)
relating to a complex dynamic systems into a
single value (Data Fusion) to achieve a solution
to a practical problem Sometimes this is the
only way to represent a system and predict risks
and trends Risk Index is overall index
indicating an irregular situation
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FORMAL IMMUNE NETWORK STRUCTURE
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TRAINING MODULE
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MODULE OF INDEX COEFFICIENTS OPTIMIZATION
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Basic Algorithm of Immunocomputing(in pseudo
code)

• Learning // data mapping into FIN space
• to receive a learning sample
• to form learning matrix
• to calculate SVD of the learning matrix
  //SVDsingular value decomposition//
• Recognition // data classification in FIN
• to receive a situation vector //pattern
• to map a vector in FIN space
• to find the closest FIN point
• to assign a vector the closest FIN point class

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Monitoring Plague problem
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Plague Risk Index
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CREDIT RISK INDEX
The analysis of credit status of the borrower -
its ability to pay off under the promissory notes
completely and in time
2. Multidimensional data
1. Interval data
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APPLICATION OF THE CREDIT RISK INDEX
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RESULT
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Conclusion

• Application of Immunocomputing approach
  significantly increases a potential of
  realization in real systems
• The considered technologies implementation to a
  broader problems class, including monitoring
  systems of various size and orientation

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Thank for your attention