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Ifigenia:Lecture courses/Generalized nets: Difference between revisions

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{{in-bulgarian|Ifigenia:Lecture courses/Generalized nets/BG}}
{{in-bulgarian|Ifigenia:Lecture courses/Generalized nets/BG}}
== Conspect ==
== Curriculum ==
# Definitions and basic properties of [[Petri net]]s and [[generalized net]]s  
# Definitions and basic properties of [[Petri net]]s and [[generalized net]]s  
# [[Reduced generalized nets]]
# [[Reduced generalized nets]]

Revision as of 10:51, 25 November 2009

Тази страница е достъпна на български.

Curriculum

  1. Definitions and basic properties of Petri nets and generalized nets
  2. Reduced generalized nets
  3. Extensions of GN
  4. Algebraic aspect of the GN theory
  5. Topological aspect of GN theory
  6. Logical aspect of GN theory
  7. Operator aspect of GN theory. Part 1
  8. Operator aspect of GN theory. Part 2
  9. Self-modifying GN
  10. Methodology for construction of generalized nets
  11. Applications of GN in artificial intelligence
  12. Applications of GN in biology and medicine
  13. Applications of GN in transport and industry
  14. GN in systems theory
  15. GN as a tool for modelling of real processes

Examination

Students may choose to:

  • either prepare a research paper, for instance developing their own GN model of a real process, or working on an open problem from the theory of GNs,
  • or take a regular examination by writing on a theme from the conspect above.

There is a third option for those who are interested in software development of the GN simulator package.

Open problems

Literature