Demonstration environment for dynamic search algorithms

OData support
Supervisor:
Eredics Péter
Department of Measurement and Information Systems

Artificial Intelligence (AI) has recently become more and more important in scientific research, what's more it also makes a great impact on our life. Research on search algorithms is a significant and important area in AI because most practical problems can be solved based on a particular search method. The algorithm selection is a crucial part of the solution thus thorough knowledge on algorithms is essential for the result. Certain test environments can help to gain necessary knowledge.

In my thesis, I am building such a test environment that is also capable of dynamic environment simulation and demonstration of dynamic algorithms. Dynamic algorithms are used to solve problems in uncertain or volatile environments, so they can provide solutions to many practical problems.

After a short theorical overview, I am creating the specification for the test environment that meets all the criteria. I continue to give an overview about the design process and the applied implementations. Finally, I test the system with examples.

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