Manfred Eppe
Manfred Eppe
University of Hamburg, Germany
Bestätigte E-Mail-Adresse bei informatik.uni-hamburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A Computational Framework for Conceptual Blending
M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza, ...
Artificial Intelligence 256 (3), 105-129, 2018
492018
Computational invention of cadences and chord progressions by conceptual chord-blending
M Eppe, R Confalonieri, E Maclean, M Kaliakatsos, E Cambouropoulos, ...
International Joint Conference on Artificial Intelligence (IJCAI), 2015
492015
Exploiting deep semantics and compositionality of natural language for Human-Robot-Interaction
M Eppe, S Trott, J Feldman
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2016
292016
Narrative based postdictive reasoning for cognitive robotics
M Eppe, M Bhatt
International Symposium on Commonsense Reasoning - arXiv:1306.0665, 2013, 2013
242013
Upward refinement operators for conceptual blending in the description logic EL++
R Confalonieri, M Eppe, M Schorlemmer, O Kutz, R Penaloza, E Plaza
Annals of Mathematics and Artificial Intelligence 82 (1-3), 69-99, 2018
232018
ASP, amalgamation, and the conceptual blending workflow
M Eppe, E Maclean, R Confalonieri, O Kutz, M Schorlemmer, E Plaza
International Conference on Logic Programming and Nonmonotonic Reasoning …, 2015
222015
Grounding dynamic spatial relations for embodied (robot) interaction
M Spranger, J Suchan, M Bhatt, M Eppe
Pacific Rim International Conference on Artificial Intelligence, 958-971, 2014
202014
Approximate Epistemic Planning with Postdiction as Answer-Set Programming
M Eppe, M Bhatt, F Dylla
International Conference on Logic Programming and Nonmonotonic Reasoning …, 2013
132013
Application-Independent and Integration-Friendly Natural Language Understanding
M Eppe, S Trott, V Raghuram, J Feldman, A Janin
Global Conference on Artificial Intelligence (GCAI), 2016
122016
Upward refinement for conceptual blending in description logic: an asp-based approach and case study in EL++
R Confalonieri, M Schorlemmer, E Plaza, M Eppe, O Kutz, R Penaloza
JOWO@ IJCAI, 2015
122015
Curriculum goal masking for continuous deep reinforcement learning
M Eppe, S Magg, S Wermter
IEEE Conference on Developmental Learning and Epigenetic Robotics, 2019
112019
Conceptual blending in EL++
R Confalonieri, M Schorlemmer, O Kutz, R Penaloza, E Plaza, M Eppe
CEUR Workshop Proceedings, 2016
112016
Recognizing intention from natural language: clarification dialog and construction grammar
S Trott, M Eppe, J Feldman
Workshop on Communicating Intentions in Human-Robot Interaction, 2016
112016
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving
M Eppe, PDH Nguyen, S Wermter
Frontiers in Robotics and AI, 2019
8*2019
Combining Deep Learning for Visuomotor Coordination with Object Identification to Realize a High-level Interface for Robot Object-picking
M Eppe, M Kerzel, S Griffiths, HG Ng, S Wermter
International Conference on Humanoid Robots (Humanoids), 2017
82017
D2. 1: Reasoning with amalgams
F Bou, M Eppe, E Plaza, M Schorlemmer
Technical report, COINVENT Project. http://www. coinventproject. eu …, 2014
82014
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
M Eppe, M Kerzel, E Strahl, S Wermter
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
72018
Approximate Postdictive Reasoning with Answer Set Programming
M Eppe, M Bhatt
Journal of Applied Logic, 2015
72015
A History Based Approximate Epistemic Action Theory for Efficient Postdictive Reasoning
M Eppe, M Bhatt
Journal of Applied Logic, 2015
52015
ExpCog: Experiments in Commonsense Cognitive Robotics
M Eppe, M Bhatt, J Suchan, B Tietzen
9th International Workshop on Cognitive Robotics (CogRob), 2014
42014
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