AbstractSwarm - A Generic Graphical Modeling Language for Multi-Agent Systems. - Daan Apeldoorn (MATES, 2013)

Learning Rules for Cooperative Solving of Spatio-Temporal Problems. - Daan Apeldoorn (DKB/KIK@KI, 2015)

A Spatio-Temporal Multiagent Simulation Framework for Reusing Agents in Different Kinds of Scenarios. - Daan Apeldoorn (MATES, 2015)

When Should Learning Agents Switch to Explicit Knowledge? - Daan Apeldoorn; Gabriele Kern-Isberner (GCAI, 2016)

Measuring strategic depth in games using hierarchical knowledge bases. - Daan Apeldoorn; Vanessa Volz (CIG, 2017)

An Agent-Based Learning Approach for Finding and Exploiting Heuristics in Unknown Environments. - Daan Apeldoorn; Gabriele Kern-Isberner (COMMONSENSE, 2017)

Towards An Understanding of What is Learned: Extracting Multi-Abstraction-Level Knowledge from Learning Agents. - Daan Apeldoorn; Gabriele Kern-Isberner (FLAIRS, 2017)

Forward Model Approximation for General Video Game Learning. - Alexander Dockhorn; Daan Apeldoorn (CIG, 2018)

Automated Creation of Expert Systems with the InteKRator Toolbox. - Daan Apeldoorn; Torsten Panholzer (GMDS, 2021)

Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes. - Daan Apeldoorn; Lars Hadidi; Torsten Panholzer (MIWAI, 2021)

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)

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 (GMDS, 2023)

Comprehensible knowledge base extraction for learning agents: practical challenges and applications in games. - Daan Apeldoorn (Verlag Mainz, 2023)

AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. - Daan Apeldoorn; Alexander Dockhorn; Torsten Panholzer (GECCO Companion, 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 (GMDS, 2024)