Adaptivity in learner-teacher interaction
Facts
Artificial Intelligence and Machine Learning Methods
Developmental and Educational Psychology
Computer Science
DFG Excellence Strategy Cluster
Description
Understanding intelligence is one of the great scientific challenges of our time. However, despite intensive research in various disciplines, our understanding of intelligence remains fragmentary and incomplete. The proposed Cluster of Excellence “Science of Intelligence (SCIoI)” will make a significant contribution to a better understanding of intelligence as a whole. To this end, existing findings from various disciplines of intelligence research will be brought together. At the same time, SCIoI will provide valuable new research impetus to these disciplines. The research results will also be used to create new intelligent technologies that can be used for social benefit in a wide variety of areas. The scientific goal of SCIoI is to research the principles of intelligence. This goal is to be achieved with the help of a synthetic approach in which all theories, findings, concepts, and methods must be incorporated into technological artifacts such as robots or computer programs. These artifacts serve as a common “language” that enables scientific exchange across disciplinary boundaries. This exchange, in turn, leads to the validation and linking of research results as well as their transfer and expansion. Findings that are consistent across several of the disciplines involved provide valuable clues to the principles of intelligence being sought, while contradictions will lead to new questions. In addition, the synthetic approach pursued facilitates the transfer of the findings into practical applications. The SCIoI Cluster of Excellence creates an interdisciplinary research network that offers ideal working conditions for scientists engaged in intelligence research. The integrated graduate program will play a central role in training a new generation of interdisciplinary intelligence researchers. Thanks to its interdisciplinary approach and the attractiveness and relevance of the questions it investigates, SCIoI will increase the proportion of women in the participating STEM subjects in particular in the long term.
Topics
Organization entities
Department of Computer Science
Address
Johann von Neumann-Haus, Institutsgeb?ude, Rudower Chaussee 25, 12489 BerlinGeneral contactTel.: 030 2093-41140