Daan Apeldoorn

According to our database, Daan Apeldoorn authored at least 20 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

KI in der Schule und im interdisziplinären Studium - Regelbasierte Systeme und Wissensrepräsentation im Kontext von Agenten.

Daan Apeldoorn, Andre Thevapalan

Informatische Bildung in Schulen (IBiS), 2026

Toward the Optimization of General Logistics Scenarios With Multi-Agent Simulations: Results of the AbstractSwarm Multi-Agent Logistics Competition With Application in Hospital Logistics.

Daan Apeldoorn, Alina Jenn, Alexander Dockhorn, Jochen Wollstädter, Fabian Linkerhägner, Torsten Panholzer

IEEE Access, 2026

2025

Comprehensible Extraction of Knowledge Bases for Learning Agents in Games.

Daan Apeldoorn

Künstliche Intell., 2025

Corrigendum to Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data.

Xenia Heilmann, Valentin Henkys, Daan Apeldoorn, Konstantin Strauch, Bertil Schmidt, Timm Lilienthal, Torsten Panholzer

Proceedings of the German Medical Data Sciences 2025: GMDS Illuminates Health, 2025

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

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

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, 2024

2023

Comprehensible knowledge base extraction for learning agents: practical challenges and applications in games.

Daan Apeldoorn

PhD thesis, 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

Proceedings of the German Medical Data Sciences 2023 - Science. Close to People., 2023

2021

Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning.

Daan Apeldoorn, Alexander Dockhorn

IEEE Trans. Games, 2021

KI in der Schule - Teil 1: Einführung in die künstliche Intelligenz.

Daan Apeldoorn

LOG IN, 2021

Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes.

Daan Apeldoorn, Lars Hadidi, Torsten Panholzer

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2021

Automated Creation of Expert Systems with the InteKRator Toolbox.

Daan Apeldoorn, Torsten Panholzer

Proceedings of the 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, 2021

2018

Forward Model Approximation for General Video Game Learning.

Alexander Dockhorn, Daan Apeldoorn

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

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, 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, 2017

Measuring strategic depth in games using hierarchical knowledge bases.

Daan Apeldoorn, Vanessa Volz

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2016

When Should Learning Agents Switch to Explicit Knowledge?

Daan Apeldoorn, Gabriele Kern-Isberner

Proceedings of the GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19, 2016

2015

A Spatio-Temporal Multiagent Simulation Framework for Reusing Agents in Different Kinds of Scenarios.

Daan Apeldoorn

Proceedings of the Multiagent System Technologies - 13th German Conference, 2015

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), 2015

2013

AbstractSwarm - A Generic Graphical Modeling Language for Multi-Agent Systems.

Daan Apeldoorn

Proceedings of the Multiagent System Technologies - 11th German Conference, 2013