The hybrid agent MARCO: a multimodal autonomous robotic chess opponent. - Christian Becker-Asano; Eduardo Meneses; Nicolas Riesterer; Julien Hué; Christian Dornhege; Bernhard Nebel (HAI, 2014)

The hybrid Agent MARCO. - Nicolas Riesterer; Christian Becker-Asano; Julien Hué; Christian Dornhege; Bernhard Nebel (ICMI, 2014)

The Search for Cognitive Models: Standards and Challenges. - Marco Ragni; Nicolas Riesterer (Bridging@CogSci, 2017)

Multinomial Processing Models for Syllogistic Reasoning: A Comparison. - Hannah Dames; Jan Ole von Hartz; Mario Kantz; Nicolas Riesterer; Marco Ragni (CogSci, 2018)

Individuals become more logical without feedback. - Marco Ragni; Nicolas Riesterer; Sangeet Khemlani; Phil Johnson-Laird (CogSci, 2018)

The Predictive Power of Heuristic Portfolios in Human Syllogistic Reasoning. - Nicolas Riesterer; Daniel Brand; Marco Ragni (KI, 2018)

When Does a Reasoner Respond: Nothing Follows? - Marco Ragni; Hannah Dames; Daniel Brand; Nicolas Riesterer (CogSci, 2019)

Predicting Individual Human Reasoning: The PRECORE-Challenge. - Marco Ragni; Nicolas Riesterer; Sangeet Khemlani (CogSci, 2019)

Analyzing the Differences in Human Reasoning via Joint Nonnegative Matrix Factorization. - Daniel Brand; Nicolas Riesterer; Hannah Dames; Marco Ragni (CogSci, 2020)

Do Models Capture Individuals? Evaluating Parameterized Models for Syllogistic Reasoning. - Nicolas Riesterer; Daniel Brand; Marco Ragni (CogSci, 2020)

Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems. - Nicolas Riesterer; Daniel Brand; Marco Ragni (CoRR, 2020)

Modeling Human Syllogistic Reasoning: The Role of "No Valid Conclusion". - Nicolas Riesterer; Daniel Brand; Hannah Dames; Marco Ragni (Top. Cogn. Sci., 2020)

Predictive Modeling of Individual Human Cognition: Upper Bounds and a New Perspective on Performance. - Nicolas Riesterer; Daniel Brand; Marco Ragni (Top. Cogn. Sci., 2020)

Unifying Models for Belief and Syllogistic Reasoning. - Daniel Brand; Nicolas Riesterer; Marco Ragni (CogSci, 2021)

Model-Based Explanation of Feedback Effects in Syllogistic Reasoning. - Daniel Brand; Nicolas Riesterer; Marco Ragni (Top. Cogn. Sci., 2022)

Modeling human reasoning: benchmarking, analysis, and improvement. - Nicolas Riesterer (2022)

Fully dynamic reorder policies with deep reinforcement learning for multi-echelon inventory management. - Patric Hammler; Nicolas Riesterer; Torsten Braun (Inform. Spektrum, 2023)