Marvin Schiller
Marvin Schiller
Robert Bosch GmbH
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Zitiert von
Zitiert von
A corpus of tutorial dialogs on theorem proving; the influence of the presentation of the study-material
C Benzmüller, H Horacek, H Lesourd, I Kruijff-Korbayová, M Schiller, ...
Proceedings of the Fifth International Conference on Language Resources and …, 2006
Coherence across components in cognitive systems—one ontology to rule them all
G Behnke, D Ponomaryov, M Schiller, P Bercher, F Nothdurft, B Glimm, ...
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Diawoz-ii–a tool for wizard-of-oz experiments in mathematics
C Benzmüller, H Horacek, I Kruijff-Korbayová, H Lesourd, M Schiller, ...
Annual Conference on Artificial Intelligence, 159-173, 2006
Alice in DIY wonderland or: Instructing novice users on how to use tools in DIY projects
G Behnke, M Schiller, M Kraus, P Bercher, M Schmautz, M Dorna, ...
AI Communications 32 (1), 31-57, 2019
Testing the Adequacy of Automated Explanations of EL Subsumptions.
MRG Schiller, F Schiller, B Glimm
Description Logics 1879, 2017
Towards Explicative Inference for OWL.
MRG Schiller, B Glimm
Description Logics, 930-941, 2013
A manifesto for cognitive models of problem gambling
F Gobet, M Schiller
European perspectives on cognitive sciences–Proceedings of the european …, 2011
Instructing Novice Users on How to Use Tools in DIY Projects.
G Behnke, MRG Schiller, M Kraus, P Bercher, M Schmautz, M Dorna, ...
IJCAI, 5805-5807, 2018
Integrating Ontologies and Planning for Cognitive Systems.
G Behnke, P Bercher, S Biundo, B Glimm, DK Ponomaryov, MRG Schiller
Description Logics, 2015
A comparison between cognitive and AI models of blackjack strategy learning
MRG Schiller, FR Gobet
Annual Conference on Artificial Intelligence, 143-155, 2012
New developments for robert–Assisting novice users even better in DIY projects
G Behnke, P Bercher, M Kraus, M Schiller, K Mickeleit, T Häge, M Dorna, ...
Proceedings of the International Conference on Automated Planning and …, 2020
Proof step analysis for proof tutoring–a learning approach to granularity
M Schiller, D Dietrich, C Benzmüller
Teaching Mathematics and Computer Science 6 (2), 325-343, 2008
A multimodal dialogue framework for cloud-based companion systems
M Kraus, M Schiller, G Behnke, P Bercher, S Biundo, B Glimm, W Minker
9th International Workshop on Spoken Dialogue System Technology, 405-410, 2019
Problem gambling: Cognition, prevention and treatment
F Gobet, M Schiller
Springer, 2014
Deep Inference for Automated Proof Tutoring?
C Benzmüller, D Dietrich, M Schiller, S Autexier
Annual Conference on Artificial Intelligence, 435-439, 2007
A paradigm for coupling procedural and conceptual knowledge in companion systems
M Schiller, G Behnke, M Schmautz, P Bercher, M Kraus, M Dorna, ...
2017 International Conference on Companion Technology (ICCT), 1-6, 2017
Towards an intelligent tutor for mathematical proofs
S Autexier, D Dietrich, M Schiller
arXiv preprint arXiv:1202.4828, 2012
Mechanizing proof step evaluation for mathematics tutoring-the case of granularity
M Schiller
Unpublished master’s thesis, 2005
Granularity Analysis for Tutoring Mathematical Proofs
MRG Schiller
Resource-bounded modelling and analysis of human-level interactive proofs
C Benzmüller, M Schiller, J Siekmann
Resource-adaptive cognitive processes, 291-311, 2010
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