AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios - Daan Apeldoorn; Alexander Dockhorn; Torsten Panholzer (Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2024, Melbourne, VIC, Australia, July 14-18, 2024, 2024)

Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data - Xenia Heilmann; Daan Apeldoorn; Konstantin Strauch; Bertil Schmidt; Timm Lilienthal; Torsten Panholzer (German Medical Data Sciences 2024 - Health - Thinking, Researching and Acting Together. Proceedings of the 69th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2024 in Dresden, Germany, 2024)

Comprehensible knowledge base extraction for learning agents: practical challenges and applications in games - Daan Apeldoorn (Technical University of Dortmund, Germany, 2023)

Comparison and Incorporation of Reasoning and Learning Approaches for Cancer Therapy Research - Andre Thevapalan; Daan Apeldoorn; Gabriele Kern-Isberner; Ralf Georg Meyer; Mathias Nietzke; Torsten Panholzer (German Medical Data Sciences 2023 - Science. Close to People. - Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023 in Heilbronn, Germany, 2023)

KI in der Schule - Teil 1: Einführung in die künstliche Intelligenz - Daan Apeldoorn (LOG IN, 2021)

Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning - Daan Apeldoorn; Alexander Dockhorn (IEEE Trans. Games, 2021)

Automated Creation of Expert Systems with the InteKRator Toolbox - Daan Apeldoorn; Torsten Panholzer (German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF - Technology, Methods, and Infrastructure for Networked Medical Research e.V. 2021 online in Kiel, Germany, September 26-30, 2021, 2021)

Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes - Daan Apeldoorn; Lars Hadidi; Torsten Panholzer (Multi-disciplinary Trends in Artificial Intelligence - 14th International Conference, MIWAI 2021, Virtual Event, July 2-3, 2021, Proceedings, 2021)

Forward Model Approximation for General Video Game Learning - Alexander Dockhorn; Daan Apeldoorn (2018 IEEE Conference on Computational Intelligence and Games, CIG 2018, Maastricht, The Netherlands, August 14-17, 2018, 2018)

Measuring strategic depth in games using hierarchical knowledge bases - Daan Apeldoorn; Vanessa Volz (IEEE Conference on Computational Intelligence and Games, CIG 2017, New York, NY, USA, August 22-25, 2017, 2017)

An Agent-Based Learning Approach for Finding and Exploiting Heuristics in Unknown Environments - Daan Apeldoorn; Gabriele Kern-Isberner (Proceedings of the Thirteenth International Symposium on Commonsense Reasoning, COMMONSENSE 2017, London, UK, November 6-8, 2017, 2017)

Towards An Understanding of What is Learned: Extracting Multi-Abstraction-Level Knowledge from Learning Agents - Daan Apeldoorn; Gabriele Kern-Isberner (Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017, Marco Island, Florida, USA, May 22-24, 2017, 2017)

When Should Learning Agents Switch to Explicit Knowledge? - Daan Apeldoorn; Gabriele Kern-Isberner (GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19 - October 2, 2016, Berlin, Germany, 2016)

Learning Rules for Cooperative Solving of Spatio-Temporal Problems - Daan Apeldoorn (Proceedings of the 5th Workshop on Dynamics of Knowledge and Belief (DKB-2015) and the 4th Workshop KI & Kognition (KIK-2015) co-located with 38th German Conference on Artificial Intelligence (KI-2015), Dresden, Germany, September 22, 2015, 2015)

A Spatio-Temporal Multiagent Simulation Framework for Reusing Agents in Different Kinds of Scenarios - Daan Apeldoorn (Multiagent System Technologies - 13th German Conference, MATES 2015, Cottbus, Germany, September 28-30, 2015, Revised Selected Papers, 2015)

AbstractSwarm - A Generic Graphical Modeling Language for Multi-Agent Systems - Daan Apeldoorn (Multiagent System Technologies - 11th German Conference, MATES 2013, Koblenz, Germany, September 16-20, 2013. Proceedings, 2013)