Prof. Andres Perez-Uribe, HEIG-VD, Switzerland.

The idea of building machines with some sort of intelligence has been present at least since the ancient Greek mythology. With the advent of the computer, around 50 years ago, the Artificial Intelligence (AI) domain was born adopting a symbol manipulation approach that has enabled us to achieve great exploits like beating the best chess player in history. Nevertheless, most of us will agree that Deep-blue is not an intelligent machine. How then, are we going to build intelligent machines ?

During this course we will move from the symbolic paradigm (so-called Good Old-Fashioned AI) onto a connectionist paradigm, whereby parallel distributed processing models are implemented using neurally inspired systems (e.g., artificial neural networks), and then onto an embodied intelligence paradigm, where the emergence of intelligence is thought to be importantly driven by the interaction between the system (e.g., a robot) and its environment.

The course will consist of lectures and laboratory exercises, whereby the students will be able to use and understand the workings of relevant examples of the three mentioned AI paradigm. 

Lectures

1. Machine intelligence introduction
2. Artificial Intelligence
3. Turing test of intelligence
4. New AI
5. Autonomous learning robots
6. Machiavellian intelligence

Laboratory exercises

1. GOFAI: Good Old-fashioned Artificial Intelligence
2. Robot programming
3. Supervised learning artificial neural networks
4. Teaching a robot how to behave in an unknown environment

Recommended knowledge: Data structures and algorithms, Java, C, elementary vector math and differential calculus

Students

Steven Hernandez
Michael Bertapelli
Sagar T.U.
Sakshi Bhatnagar
Mitchel Vlentina Dsouza
Manoj Hosabettu Rao
Praveen Jain
Ankit Pandey 
Joshua Liong
Nathan Pickrell
Matt Sguerri
Elyse Van Zant
Haney Williams
Volkan Aginlar
Yulia Newton
Saumitra Maheshwari
Aayush Chandra
Michael Haney
Rohan Vibhandik
Andrew McCandless
Edwards Reyes
Brandon Bass
Matthieu Reussner
Cyprien Huissoud
Piotr Maicher
Lionel Gaillard
Swati Singhi