Virtual Worlds

There are three main topics:1. Virtual world concepts

• Virtual worlds definitions.

• Virtual worlds design: concepts, visualization.

• Virtual worlds modelling.

• Terrain and landscapes modelling.

• Abstract maps modelling.

• Agent-based modeling and swarm intelligence for virtual worlds.

 2. Virtual world applications.

• Virtual worlds as games.

• Virtual worlds as a research tool.

• Virtual worlds as a public management tool.

• Virtual worlds as an industrial management tool.

• Virtual worlds as an urban management planning.

• Virtual for learning and training purposes.

3. Virtual worlds analysis and optimization.

• Social agents influence on landscapes in evolutionary systems.

• Dynamic landscapes influence on evolutionary social agents.

• Relation between social swarming systems.

Knowledge:

• Have knowledge in advanced methods of modeling virtual worlds as ecological, industrial and urban systems.


Skills:

• Have practice in programming virtual worlds in a game engine.


General competence:

• Have general competence in possibilities and limitations of using a game engine for simulating virtual worlds.

• Have general competence in analyzing, and optimizing virtual worlds.

• Have general competence in using virtual worlds in innovation processes.

Lectures, student presentations, project exercises related to a research project or a case, selected by the student. 

Mandatory hand-in assignments:

1-3 mandatory assignments. All the mandatory assignments have to be approved in order to get access to the exam.