Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges
| Autor: | Paulina Friemann, Kai Sauerwald, Hannah Dames, Jan Ole Berndt, Heiko Maus, Lukas Reuter, Ingo J. Timm, Claudia Niederée, Tanja Bock, Claudia Schon, Thomas Eiter, Andreas Dengel, Christian Jilek, Marco Ragni, Steffen Staab, Gabriele Kern-Isberner, Ute Schmid, Christoph Beierle, Michael Siebers |
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| Rok vydání: | 2018 |
| Předmět: |
Research program
Ubiquitous computing Forgetting Knowledge representation and reasoning Computational complexity theory Computer science business.industry Digital transformation Inference Cognition 02 engineering and technology GeneralLiterature_MISCELLANEOUS 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030001100 KI Otto-Friedrich-Universität Bamberg |
| DOI: | 10.1007/978-3-030-00111-7_30 |
| Popis: | Current trends, like digital transformation and ubiquitous computing, yield in massive increase in available data and information. In artificial intelligence (AI) systems, capacity of knowledge bases is limited due to computational complexity of many inference algorithms. Consequently, continuously sampling information and unfiltered storing in knowledge bases does not seem to be a promising or even feasible strategy. In human evolution, learning and forgetting have evolved as advantageous strategies for coping with available information by adding new knowledge to and removing irrelevant information from the human memory. Learning has been adopted in AI systems in various algorithms and applications. Forgetting, however, especially intentional forgetting, has not been sufficiently considered, yet. Thus, the objective of this paper is to discuss intentional forgetting in the context of AI systems as a first step. Starting with the new priority research program on ‘Intentional Forgetting’ (DFG-SPP 1921), definitions and interpretations of intentional forgetting in AI systems from different perspectives (knowledge representation, cognition, ontologies, reasoning, machine learning, self-organization, and distributed AI) are presented and opportunities as well as challenges are derived. |
| Databáze: | OpenAIRE |
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