Can machines really think? Can they feel? If we construct intelligent machines that can learn, will they acquire our prejudices as well?The general objective of the course is to familiarize the students with core perspectives and debates in AI research, for example symbolic and connectionist approaches to Artificial Intelligence.
At the end of the course, students should:
- be able to read scientific reports on recent advances in AI
- be able to give an informed opinion on contemporary scientific and public debates on AI
- understand the basic approaches to creating AI
- have an overview of what is/is not possible to achieve in the area of robotics
- construct arguments about the likely short and long term developments in AI, using scientific sources
During the course, students are expected to actively participate in a number of debates on controversial questions regarding AI.
There will be a midterm test that needs to be passed in order to progress.
The final grade is determined by an exam.
The course will cover the following topics:
- Philosophy of AI
- History of AI
- Foundations of AI
- The disciplinary nature of different AI approches and perspectives
- AI techniques and methodologies
- Selected articles announced on Blackboard.
- Chapters 2 and 3 of: Stuart J. Russell and Peter Norvig. 2003. Artificial Intelligence: A Modern Approach (2 ed.). Pearson Education