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Ifigenia:Lecture courses/Generalized nets
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Тази страница е достъпна на български.
Тази страница е достъпна на български.Curriculum
- Definitions and basic properties of Petri nets and generalized nets (Formal definition of a transition. Formal definition of a GN. Algorithm for transition functioning. Algorithm for generalized net functioning. Index matrix)
- Reduced generalized nets
- Extensions of GN
- Algebraic aspect of the GN theory (Operations and relations)
- Topological aspect of GN theory
- Logical aspect of GN theory (Modal operators over generalized nets)
- Operator aspect of GN theory. Part 1 (Global operators, Local operators, Reducing operators)
- Operator aspect of GN theory. Part 2 (Extending operators, Hierarchical operators, Dynamical operators)
- Self-modifying GN
- Methodology for construction of generalized nets
- Applications of GN in artificial intelligence
- Applications of GN in biology and medicine
- Applications of GN in transport and industry
- GN in systems theory
- 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 curriculum above.
There is a third option for those who are interested in software development of the GN simulator package.
- Open problems
Literature and training materials
- Training materials in IFS and GN (in Bulgarian):
PDF (1340 Kb, File info) - Krassimir Atanassov, On Generalized Nets Theory, "Prof. Marin Drinov" Academic Publishing House
- Publications on generalized nets
