**16-17 May 2019 • Sofia, Bulgaria**

**Submission:**21 February 2019 •

**Notification:**11 March 2019 •

**Final Version:**1 April 2019

# Ifigenia:Lecture courses/Generalized nets

*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

- Formative assessment

- Test 1 on generalized nets (in Bulgarian):
**PDF (206 Kb, Info)**

- Summative assessment

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.

## Literature and training materials

- Training materials in IFS and GN (in Bulgarian):
**PDF (1340 Kb, Info)** - Krassimir Atanassov, On Generalized Nets Theory, "Prof. Marin Drinov" Academic Publishing House
- Publications on generalized nets