2023 - Research.com Computer Science in Germany Leader Award
2011 - Member of Academia Europaea
2010 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to knowledge representation and reasoning, planning, robotics, and services to the international AI community.
2009 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
The scientist’s investigation covers issues in Artificial intelligence, Computational complexity theory, Theoretical computer science, Belief revision and Graphplan. His Artificial intelligence study frequently intersects with other fields, such as Context. Bernhard Nebel combines subjects such as Rotation formalisms in three dimensions, Syntax, Vocabulary and Knowledge representation and reasoning with his study of Computational complexity theory.
His Theoretical computer science research includes elements of Domain, Planning Domain Definition Language, Semantics and Graph. When carried out as part of a general Belief revision research project, his work on Belief base is frequently linked to work in Formalism, therefore connecting diverse disciplines of study. The study incorporates disciplines such as Propositional calculus and Expressive power in addition to Graphplan.
His main research concerns Artificial intelligence, Theoretical computer science, Knowledge representation and reasoning, Robot and Computational complexity theory. His Artificial intelligence research integrates issues from Machine learning and Natural language processing. In his work, Expressive power is strongly intertwined with Rotation formalisms in three dimensions, which is a subfield of Theoretical computer science.
His Knowledge representation and reasoning study incorporates themes from Programming language and Reasoning system. Task is closely connected to Human–computer interaction in his research, which is encompassed under the umbrella topic of Robot. His Computational complexity theory research is included under the broader classification of Algorithm.
His primary areas of investigation include Artificial intelligence, Robot, Human–computer interaction, Computational complexity theory and Robotics. His Artificial intelligence study combines topics in areas such as Chain, Path and Multi-agent planning. His Robot research includes themes of Control, Multimedia, Agency and Gesture.
In general Human–computer interaction, his work in Oculus rift is often linked to Terminal linking many areas of study. His study on Computational complexity theory also encompasses disciplines like
Bernhard Nebel mainly investigates Human–computer interaction, Robot, Multi-agent planning, Gesture and Multi-agent system. The concepts of his Human–computer interaction study are interwoven with issues in Principle of double effect, Utilitarianism and Agency. Artificial intelligence covers he research in Robot.
His Artificial intelligence study integrates concerns from other disciplines, such as Control engineering and Context. His Multi-agent planning research is multidisciplinary, relying on both Sketch, Planner and Distributed knowledge. His Multi-agent system research incorporates themes from Theoretical computer science, Sign, Common knowledge, PSPACE-complete and Game engine.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The FF planning system: fast plan generation through heuristic search
Jörg Hoffmann;Bernhard Nebel.
Journal of Artificial Intelligence Research (2001)
Reasoning and Revision in Hybrid Representation Systems
COMPLEXITY RESULTS FOR SAS+ PLANNING
Christer Bäckström;Bernhard Nebel.
computational intelligence (1995)
Reasoning about temporal relations: a maximal tractable subclass of Allen's interval algebra
Bernhard Nebel;Hans-Jürgen Bürckert.
Journal of the ACM (1995)
On the Complexity of Qualitative Spatial Reasoning: A Maximal Tractable Fragment of the Region Connection Calculus
Jochen Renz;Bernhard Nebel.
Artificial Intelligence (1999)
TERMINOLOGICAL CYCLES: Semantics and Computational Properties
Principles of Semantic Networks#R##N#Explorations in the Representation of Knowledge (1991)
Extending Planning Graphs to an ADL Subset
Jana Koehler;Bernhard Nebel;Jörg Hoffmann;Yannis Dimopoulos.
Lecture Notes in Computer Science (1997)
Semantic attachments for domain-independent planning systems
Christian Dornhege;Patrick Eyerich;Thomas Keller;Sebastian Trüg.
international conference on automated planning and scheduling (2009)
Terminological reasoning is inherently intractable (research note)
Artificial Intelligence (1990)
Exploring artificial intelligence in the new millennium
Gerhard Lakemeyer;Bernhard Nebel.
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