The founding fathers of artificial intelligence viewed the mind as an information-processing machine that can be understood, modeled, and replicated. This computer metaphor of the brain had a profound influence not only on AI algorithms, but also on the study of the mind. In the previous five decades the so-called cognitive science emerged as an interdisciplinary field operating at the intersection of artificial intelligence, psychology, linguistics, neuroscience and philosophy. Its aim is to advance our understanding of, for example, how we think and feel, how we make complex decisions, and how we assess our experiences and learn from mistakes. In the age of hyped AI dreams and nightmares, it is more important than ever to study the mechanisms that underlie human cognition and emotion in order to reflect in a scientific way on the potentials and limits of artificial intelligence. In this course we will discuss topics as diverse as the mathematics of intuition, emotional intelligence, the relationship between language and intelligence, embodiment and consciousness, as well as modelling complex motives.
The instructors come from different academic backgrounds that cover various aspects of cognitives cience. Thus, this course should be accessible not only to computer science, but also to psychology, linguistics, neuroscience and philosophy students.
The seminar will present up to 12 papers.