Oxenfurt lecture hall
Welcome to the University of Oxenfurt. Here we will discuss all fields of academic thought, including but not limited to natural science, mathematics and computing, engineering, humanities and social science.
A personal area of interest are problems at the edge of experimental approaches. That is, the very small and the very large: astrophysics, nanoscience, neuroscience. Another topic worth pursuing is computational science. For instance, the above areas would hardly exist without mathematical modeling and computer simulations.
My area of research is theoretical computer science, artificial intelligence, cognitive science and computational cognitive modeling.
Some principles everyone must observe:
1) There is no discipline inherently better than another. They are all aspects of human knowledge. Some may be better suited to explain phenomena, but be respectful of each other.
2) If you make a strong statement, back it up with proper, reputable sources. This is no place for rumours, although intelligent speculation is welcome.
3) Treat everyone like your equal. Others may not be experienced in your topic so don't disrespect them or undermine their desire to learn.
4) Have fun and don't bring up discussions explicitly prohibited by the forum.
Certain topics to begin with:
- Robot assistants and challenges of artificial embodied cognition.
- In numbers we trust. Scientific computing guides our hand.
- Human and animal experimentation. Behavioral and invasive neural and chemical approaches.
- A discussion on which formal methods are actually used in social and clinical sciences.
And anything else you like. From Aristotle to Galileo to the recent Nobel price for work in computational chemistry.
Welcome to the University of Oxenfurt. Here we will discuss all fields of academic thought, including but not limited to natural science, mathematics and computing, engineering, humanities and social science.
A personal area of interest are problems at the edge of experimental approaches. That is, the very small and the very large: astrophysics, nanoscience, neuroscience. Another topic worth pursuing is computational science. For instance, the above areas would hardly exist without mathematical modeling and computer simulations.
My area of research is theoretical computer science, artificial intelligence, cognitive science and computational cognitive modeling.
Some principles everyone must observe:
1) There is no discipline inherently better than another. They are all aspects of human knowledge. Some may be better suited to explain phenomena, but be respectful of each other.
2) If you make a strong statement, back it up with proper, reputable sources. This is no place for rumours, although intelligent speculation is welcome.
3) Treat everyone like your equal. Others may not be experienced in your topic so don't disrespect them or undermine their desire to learn.
4) Have fun and don't bring up discussions explicitly prohibited by the forum.
Certain topics to begin with:
- Robot assistants and challenges of artificial embodied cognition.
- In numbers we trust. Scientific computing guides our hand.
- Human and animal experimentation. Behavioral and invasive neural and chemical approaches.
- A discussion on which formal methods are actually used in social and clinical sciences.
And anything else you like. From Aristotle to Galileo to the recent Nobel price for work in computational chemistry.