Prof. Dr. rer. nat. habil. Gerhard Weber
Table of contents
Name
Prof. Dr. Gerhard Weber
Chair in Human-Computer Interaction
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Chair for Human-Computer Interaction
RESEARCH FOCUS
- Accessible Computing
- Assistive Technologies
- Haptics and Multimodality for Human-Computer Interaction
CURRICULUM VITAE
2007 | Chair in Human-Computer Interaction, TU Dresden, Germany |
2000 - 2007 | Chair for Human-Centered Interfaces, Christian-Albrechts-Universität zu Kiel, Germany |
1996 - 2000 | Professor for Operating Systems and Graphical User Interfaces, Dept. of Automation and Computer Science, Harz University of Applied Sciences, Wernigerode, Germany |
CURRENT PUBLICATIONS
1 bis 10 von 70 Einträgen
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CURRENT RESEARCH
Hybrid Reasoning for Intelligent Systems
Titel (Englisch)
Hybrid Reasoning for Intelligent Systems
Kurzbeschreibung (Deutsch)
Knowledge Representation and Reasoning (KR&R) and, in particular, reasoning about actions, their effects and the environment in which actions take place, is fundamental for intelligent behaviour and has been a central concern in Artificial Intelligence from the beginning. To date, most KR&R approaches have focused on qualitative representations, which contrasts with requirements from many application domains where quantitative information needs to be processed as well. Examples of such quantitative aspects are time, probabilistic uncertainty, multi-criteria optimization, or resources like mass.rnrnThe aim of this research unit is to integrate both qualitative and quantitative forms of reasoning, resulting in hybrid reasoning formalisms. The work will build on the results from the previous DFG-funded project cluster "Logic-Based Knowledge Representation", where some of the most successful qualitative KR&R formalisms were combined with a focus on reasoning about actions. To increase the practical impact and relevance of the proposed research, experts from two carefully selected application areas, Robotics and Bioinformatics, will be part of the consortium, and both foundational and application-driven projects will be carried out. In the long run, the research unit will take a big step towards widening the use of KR&R technology as part of large, complex intelligent systems.
Kurzbeschreibung (Englisch)
Knowledge Representation and Reasoning (KR&R) and, in particular, reasoning about actions, their effects and the environment in which actions take place, is fundamental for intelligent behaviour and has been a central concern in Artificial Intelligence from the beginning. To date, most KR&R approaches have focused on qualitative representations, which contrasts with requirements from many application domains where quantitative information needs to be processed as well. Examples of such quantitative aspects are time, probabilistic uncertainty, multi-criteria optimization, or resources like mass.rnrnThe aim of this research unit is to integrate both qualitative and quantitative forms of reasoning, resulting in hybrid reasoning formalisms. The work will build on the results from the previous DFG-funded project cluster "Logic-Based Knowledge Representation", where some of the most successful qualitative KR&R formalisms were combined with a focus on reasoning about actions. To increase the practical impact and relevance of the proposed research, experts from two carefully selected application areas, Robotics and Bioinformatics, will be part of the consortium, and both foundational and application-driven projects will be carried out. In the long run, the research unit will take a big step towards widening the use of KR&R technology as part of large, complex intelligent systems.
Zeitraum
07/2012
Art der Finanzierung
Drittmittel
Projektleiter
- Herr Prof. Dr.-Ing. Franz Baader
Projektmitarbeiter
- Frau Ph.D. Yue Ma
- Herr Dipl.-Inf. Benjamin Zarrieß
- Herr Dipl.-Inf. Andreas Ecke
Finanzierungseinrichtungen
- Deutsche Forschungsgemeinschaft
Kooperationspartnerschaft
national
Interne Kooperationspartner
- Michael Schröder, Biotechnologiezentrum
Externe Kooperationspartner
- Gerhard Brewka, Universität Leipzig (Deutschland)
- Wolfram Burgard, Universität Freiburg (Deutschland)
- Gerhard Lakemeyer, RWTH Aachen (Deutschland)
- Bernhard Nebel, Universität Freiburg (Deutschland)
- Torsten Schaub, Universität Potsdam (Deutschland)
Website zum Projekt
Zugeordnetes DFG-Fachgebiet
Informatik
Relevant für den Umweltschutz
Nein
Relevant für Multimedia
Nein
Relevant für den Technologietransfer
Nein
Schlagwörter
Knowledge Representation, Reasoning
Berichtsjahr
2012