Daan Apeldoorn

Deutsch  Deutsch    English  English

Contact

Daan Apeldoorn
Z Quadrat GmbH
Rheinstraße 43-45
55116 Mainz

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.     

Phone: +49 6131 4 98 93 52

Foto Daan Apeldoorn

► Personal Details (click to show)

Research Interests

  • Methods of Artificial Intelligence and their application in the context of autonomous agents (e.g., in games)
  • Incorporation of symbolic and subsymbolic approaches with a focus on agent-based learning with knowledge extraction/integration
  • Multi-agent systems and simulations (e.g., with application in logistics)

In the past, I was also working on a project in the field of Software Engineering.

Teaching

Z Quadrat:

  • Summer 2018: Course Einführung in die Robotik mit LEGO-Mindstorms (EV3)
  • Summer 2018: Course Objektorientierte Spieleprogrammierung mit EduGine Java
  • Summer 2018: Course Einführung in den FIRST LEGO League Wettbewerb
  • Summer 2018: Course Programmieren in C/C++
  • Summer 2018: Course Homepagegestaltung mit HTML
  • Summer 2018: Course Textverarbeitung mal anders - Eine Einführung in LaTeX

TU Dortmund University:

  • Winter 2017/2018: Tutorial Darstellung, Verarbeitung und Erwerb von Wissen (Bachelor)
  • Summer 2017: Tutorial Commonsense Reasoning (Master)
  • Winter 2016/2017: Tutorial Darstellung, Verarbeitung und Erwerb von Wissen (Bachelor)
  • Summer 2016: Tutorial Commonsense Reasoning (Master)
  • Winter 2015/2016: Tutorial Darstellung, Verarbeitung und Erwerb von Wissen (Bachelor)
  • Summer 2015: Tutorial Commonsense Reasoning (Master)

University of Koblenz-Landau:

  • Winter 2014/2015: Tutorial Introduction to Web Science (Master, in English)

University of Hagen:

  • Summer 2018: Corrector for Wissensbasierte Systeme (Bachelor/Master)
  • Summer 2011: Corrector for Entscheidungsmethoden in unternehmensweiten Softwaresystemen (Bachelor/Master)
  • Winter 2010/2011: Corrector for Entscheidungsmethoden in unternehmensweiten Softwaresystemen (Bachelor/Master)

Supervised Theses:

  • Einsatz von Multi-Agenten-Simulation und ASP zum Lösen von Logistikproblemen (together with Prof. Dr. Kern-Isberner, Bachelor, currently running)
  • Integration zweier unterschiedlicher Agentenmodelle für Multi-Agenten-Szenarien mit Anwendung in der Logistik (together with Prof. Dr. Kern-Isberner, Master, finished)
  • Erlernen von Wissensbasen mittels Reinforcement Learning und Neuronalen Netzen (together with Prof. Dr. Kern-Isberner, Master, finished)
  • Lernen von Bayes-Netz-Strukturen als Grundlage für Agentenverhalten (together with Prof. Dr. Kern-Isberner, Bachelor, finished)
  • Statistische Evaluation unterschiedlicher Repräsentationsformen für die Wissensextraktion aus Reinforcement Learning (together with Prof. Dr. Kern-Isberner, Bachelor, finished)

In the past years, I was also supervising more than 20 projects for the German young researchers competition Jugend Forscht/Schüler Experimentieren.

Publications

  • 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) (bibtex)
  • 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, New York (2017) (url) (bibtex)
  • 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) (bibtex)
  • 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) (bibtex)
  • Apeldoorn, D., Kern-Isberner, G.: When Should Learning Agents Switch to Explicit Knowledge? In: Benzmüller, C., Sutcliffe, G., Rojas, R. (eds.) GCAI 2016. 2nd Global Conference on Artificial Intelligence. EPiC Series in Computing, vol. 41, pp. 174–186. EasyChair Publications (2016) (url) (bibtex)
  • 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) (bibtex)
  • 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) (bibtex)
  • 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) (bibtex)
  • 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) (bibtex)
  • 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) (bibtex)
  • 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) (bibtex)