Available Student Projects

Department of Computer Science

We have a wide selection of highly interesting and topical student projects in the direction of Artificial Life, Artificial Intelligence and related fields (see my homepage for an overview of my research interests and here for those of the Adaptive Systems Research Group). Projects are available for both undergraduate and graduate level, ranging from medium to challenging level of difficulty. Ideally, you should be confident in at least one major computer language, have a keen interest in Artificial Life/Artificial Intelligence topics, and enjoy the possibility of exploring new avenues.

If you are interested in one or more of the topics mentioned below and would like to hear more details, you can make an appointment by mailing D. Polani, also if you have an idea of your own that you believe may fall in our area of interest.

Possible project areas are (this list will grow with time, so please check regularly for up-to-date information):

RoboCup (Robotic Soccer): various tasks, e.g.
- training skills and behaviours
- analysing player behaviour
- learning strategies for team behaviour
If successful, these projects may become part of the Bold Hearts RoboCup team.
Sensor evolution:
- Model agent sensors and the adaption of information acquisition by an agent using different criteria
- Evolve agent sensors for agents to solve different tasks
Learning, behaviour analysis and synthesis:
- Using neural networks to analyse sensoric input from real-world measurements
- Analyse behaviours and create appropriate response using neural networks and/or Graphical Models
- Learning methods for 'complete' behaviour patterns
- Learning algorithms for game-playing programs
Agent Societies:
- Construct a trading agent system and study different trading strategies
- Study phenomena of group aggression in conjunction with gene/meme transfer
- Develop methods for long-term group strategy learning
Bioinformatics/Models for the origins of life:
- Cellular Automata for the modeling of protein interaction

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Last changed at Fri Aug 3 15:22:33 2012 by D. Polani