Due to the low number of submissions there will be no workshop on forgetting in artificial intelligence in 2017
Though forgetting is usually a nuisance in everyday life, it is an important feature for human life. On the one hand, forgetting superfluous information facilitates the task at hand. On the other hand, it is an integral part of basic cognitive processes, like generalization, abstraction, and learning. In this context, forgetting is the deliberate act to abolish unnecessary knowledge possibly conserving knowledge on a higher level. Recently, the term "machine unlearning" has been coined for the first beneficial use described above. In this workshop the general topic of beneficial forgetting shall be explored from different viewpoints.
The workshop aims to bring together researchers from AI, Machine Learning, Cognitive Science, and other disciplines who are interested in understanding how artificial systems can profit from forgetting and how beneficial forgetting in humans can be influenced. Topics of interest include, but are not limited to the following:
- Forgetting in knowledge management systems
- Agents with knowledge limitations
- Unlearning hypotheses in active or incremental learning
- Supporting humans to beneficially forget
- Cognitive models using or displaying beneficial forgetting processes
The workshop will take place at the KI 2017 in Dortmund, Germany (September 25-29).
Cognitive Systems Group
Faculty Information Systems and Applied Computer Science
University of Bamberg
Smart Data & Knowledge Services Department
German Research Center for Artificial Intelligence (DFKI) GmbH
Contact: michael.siebers (at) uni-bamberg.de