Johannes Gutenberg-Universität Mainz:
IMBEI:
Z Quadrat:
TU Dortmund:
Universität Koblenz-Landau:
FernUniversität in Hagen:
In der Vergangenheit habe ich auch zahlreiche Projekte für die Jugend Forscht/Schüler Experimentieren Wettbewerbe betreut.
• Heilmann, X.*, Henkys, V.*, Apeldoorn, D.*, Strauch, K., Schmidt, B., Lilienthal, T., Panholzer, T.: Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data. Studies in Health Technology and Informatics, 317:261–269, 2024. (url) (*geteilte Erstautorenschaft)
• Apeldoorn, D., Dockhorn, A., Panholzer, T.: AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. Accepted for publication in: Genetic and Evolutionary Computation Conference (GECCO ’24 Companion), July 14–18, 2024, Melbourne, VIC, Australia. ACM, New York. (url)
• Apeldoorn, D.: Comprehensible Extraction of Knowledge Bases for Learning Agents in Games. Künstl Intell (early access), 2024. (url)
• Thevapalan, A.*, Apeldoorn, D.*, Kern-Isberner, G., Meyer, R. G., Nietzke, M., Panholzer, T.: Comparison and Incorporation of Reasoning and Learning Approaches for Cancer Therapy Research. Studies in Health Technology and Informatics, 307:161–171, 2023. (url) (* geteilte Erstautorenschaft)
• Apeldoorn, D.: Comprehensible Knowledge Base Extraction for Learning Agents – Practical Challenges and Applications in Games. Dissertation at TU Dortmund University. Mainz, Aachen, 2023; Johannes Gutenberg University, Mainz, 2023. (url)
• Apeldoorn, D., Dockhorn, A.: Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning. IEEE Transactions on Games, 13(3):249–262, 2021. (url)
• Apeldoorn, D., Panholzer, T.: Automated Creation of Expert Systems with the InteKRator Toolbox. Studies in Health Technology and Informatics, 283:46–55, 2021. (url)
• Apeldoorn, D., Hadidi, L., Panholzer, T.: Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes. In: Chomphuwiset, P., Kim, J., Pawara, P. (eds.) Multi-disciplinary Trends in Artificial Intelligence – 14th International Conference, MIWAI 2021, Virtual Event, July 2–3, 2021, Proceedings, pp. 14–26. Springer, Cham, 2021. (url)
• Apeldoorn, D.: KI in der Schule – Teil 1: Einführung in die künstliche Intelligenz. LOG IN – Informatische Bildung und Computer in der Schule, 195/196:126–131, 2021. (url)
• Dockhorn, A., Apeldoorn, D.: Forward Model Approximation for General Video Game Learning. In: Browne, C., Winands, M. H. M., Liu, J., Preuss, M. (eds.) Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games (CIG’18), pp. 425–432. IEEE, Piscataway, 2018. (url)
• Apeldoorn, D., Kern-Isberner, G.: An Agent-Based Learning Approach for Finding and Exploiting Heuristics in Unknown Environments. In: Gordon, A. S., Miller, R., Turán, G. (eds.) Proceedings of the Thirteenth International Symposium on Commonsense Reasoning, London, UK, November 6-8, 2017. CEUR Workshop Proceedings, vol. 2052, paper 1. CEUR-WS.org, Aachen, 2018. (url)
• Apeldoorn, D., Volz, V.: Measuring Strategic Depth in Games Using Hierarchical Knowledge Bases. In: 2017 IEEE Conference on Computational Intelligence and Games (CIG), pp. 9–16. IEEE, Piscataway, 2017. (url)
• Krüger, C., Apeldoorn, D., Kern-Isberner, G.: Comparing Answer Set Programming and Hierarchical Knowledge Bases Regarding Comprehensibility and Reasoning Efficiency in the Context of Agents. In: Proceedings of the 30th International Workshop on Qualitative Reasoning (QR 2017) at International Joint Conference on Artificial Intelligence (IJCAI 2017) in Melbourne, Australia. Northwestern University, Evanston, Illinois, 2017. (url)
• Apeldoorn, D., Kern-Isberner, G.: Towards an Understanding of What is Learned: Extracting Multi-Abstraction-Level Knowledge from Learning Agents. In: Rus, V., Markov, Z. (eds.) Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, pp. 764–767. AAAI Press, Palo Alto, California, 2017. (url)
• Apeldoorn, D., Kern-Isberner, G.: When Should Learning Agents Switch to Explicit Knowledge? In: GCAI 2016. 2nd Global Conference on Artificial Intelligence. EPiC Series in Computing, vol. 41, pp. 174–186. EasyChair Publications, 2016. (url)
• Apeldoorn, D.: A Spatio-Temporal Multiagent Simulation Framework for Reusing Agents in Different Kinds of Scenarios. In: Müller, J. P., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds.) Multiagent System Technologies. LNAI, vol. 9433, pp. 79–97. Springer International Publishing, Switzerland, 2015. (url)
• Apeldoorn, D.: Learning Rules for Cooperative Solving of Spatio-Temporal Problems. In: Beierle, C., Kern-Isberner, G., Ragni, M., Stolzenburg, F. (eds.) Proceedings of the 5th Workshop on Dynamics of Knowledge and Belief (DKB-2015) and the 4th Workshop KI & Kognition (KIK-2015) co-located with the 38th German Conference on Artificial Intelligence (KI-2015), Dresden, Germany, September 22, 2015. CEUR Workshop Proceedings, vol. 1444, pp. 5–15. CEUR-WS.org, Aachen, 2015. (url)
• Apeldoorn, D.: AbstractSwarm – A Generic Graphical Modeling Language for Multi-Agent Systems. In: Klusch, M., Thimm, M., Paprzycki, M. (eds.) Multiagent System Technologies. LNCS, vol. 8076, pp. 180–192. Springer, Berlin Heidelberg, 2013. (url)
• Apeldoorn, D.: Statistical Relational Learning in Dynamic Environments – An Agent-Based Approach to Dynamic Pathfinding Using Bayesian Logic Networks and ProbCog. In: Beierle, C., Kern-Isberner, G. (eds.) Informatik Berichte 361–09/2011: Evolving Knowledge in Theory and Applications – Proceedings of the 3rd Workshop on Dynamics of Knowledge and Belief (DKB 2011) at the 34th Annual Conference on Artificial Intelligence (KI-2011) in Berlin, pp. 61–71. FernUniversität in Hagen, Hagen, 2011. (url)
• Apeldoorn, D., Heimbürger, H.: Method-oriented software development (MOSD) with the programming language C-mol – a new concept for improved Human Computer Interaction regarding the transfer of an idea to its realization. TESI 2005 Conference Proceedings, AIS II.2, Highbury Business, Kent, 2005.
• Apeldoorn, D., Heimbürger, H.: Method-oriented software development (MOSD) with the programming language C-mol – A new concept for more efficient development and implementation of software systems. In: Gesellschaft für Informatik e.V. (ed.) Informatiktage 2003: Fachwissenschaftlicher Informatik-Kongress, pp. 103–106. Konradin Verlagsgruppe, Grasbrunn, 2004.