Alexander Dockhorn

Alexander Dockhorn

Institute for Intelligent Cooperating Systems (IKS)
Gebäude 29, Universitätsplatz 2, 39106 Magdeburg, G29-019
Vita

 

I studied Computer Science at the Otto-von-Guericke University (OvGU) in Magdeburg (Germany) and University of Abertay in Dundee (Scotland). I received his Master's degree in October 2017.

My current research interests are computational intelligence in games and intelligent data analysis. My current focus is on partial information games, and learning rules and strategies from succesful playthroughs. Additionally, I am is always looking for real-world applications for computational intelligence methods.

I am always happy about supervising interested students in thesis works or scientific projects. Please write me an e-mail when you are currently looking for any project.

 

 

Publications

Journal Papers

  • Pascal Held, Alexander Dockhorn, and Rudolf Kruse
  • On Merging and Dividing Social Graphs
  • Journal of Artificial Intelligence and Soft Computing Research, 5(1) --> Link (Download)

Conference Papers

 

  • Alexander Dockhorn, Daan Apeldoorn
  • Forward Model Approximation for General Video Game Learning
  • In IEEE Computational Intelligence in Games 2017 in Maastricht --> accepted

  • Alexander Dockhorn, Max Frick, Ünal Akkaya, and Rudolf Kruse
  • Predicting Opponent's Moves for Improving Hearthstone AI
  • 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems --> accepted

  • Alexander Dockhorn, Christoph Doell, Matthias Hewelt, and Rudolf Kruse
  • A Decision Heuristic for MCTS Doppelkopf Agents
  • In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) in Hawaii --> Link

  • Tim Sabsch, Christian Braune, Alexander Dockhorn, and Rudolf Kruse
  • Using a Multiobjective Genetic Algorithm for Curve Approximation
  • In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) in Hawaii --> Link

  • Alexander Dockhorn and Rudolf Kruse
  • Combining Cooperative and Adversarial Coevolution in the Context of Pac-Man
  • In IEEE Computational Intelligence in Games 2017 in New York --> Link

  • Alexander Dockhorn, Christian Braune, and Rudolf Kruse
  • Variable density based clustering
  • In 2016 IEEE Symposium Series on Computational Intelligence (SSCI) in Athen --> Link

  • Alexander Dockhorn, Christian Braune, and Rudolf Kruse
  • An Alternating Optimization Approach based on Hierarchical Adaptations of DBSCAN
  • In 2015 IEEE Symposium Series on Computational Intelligence (SSCI) in Capetown --> Link

  • Pascal Held, Alexander Dockhorn, Rudolf Kruse
  • Clustering Social Networks Using Competing Ant Hives
  • In 2015 Second European Network Intelligence Conference (pp. 67–74) --> Link

  • Pascal Held, Alexander Dockhorn, Rudolf Kruse
  • On Merging and Dividing of Barabasi-Albert-graphs
  • In 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS) --> Link

  • Pascal Held, Alexander Dockhorn, Rudolf Kruse
  • Generating Events for Dynamic Social Network Simulations
  • 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems --> Link

Theses

  • Alexander Dockhorn
  • Density Based Clustering Optimization
  • Master Thesis, Otto-von-Guericke University Magdeburg (OvGU), 2015

  • Alexander Dockhorn
  • Computergestützte Analyse onkologischer Daten mithilfe GraphischerModelle
  • Bachelor Thesis, Otto-von-Guericke University Magdeburg (OvGU), 2014

 

Teaching Activities

Lectures and Seminars

  • Lecture Computational Intelligence in Games, Summer 2018
  • Tutorials for the lecture Neural Networks, Summer 2018
  • Seminar Classification Algorithms, Winter 2017/18
  • Tutorials for the lecture Bayes Networks, Winter 2017/2018
  • Tutorials for the lecture Computational Intelligence in Games, Summer 2017
  • Seminar Deep Learning, Summer 2016
  • Tutorials for the lecture Intelligente Systeme, Winter 2015/2016
  • Tutorials for the lecture Bayes Networks, Winter 2015/2016
  • Tutorials for the lecture Neural Networks, Summer 2015
  • Tutorials for the lecture Intelligente Systeme, Winter 2014/2015
  • Tutorial for the lecture Einführung in die Informatik, Winter 2011/2012

Advisor of Bachelor and Master Theses

Topics under work:

  • J. B., Optimizing All-Shortest-Path-Dictionaries using Machine Learning, Master Thesis
  • C. S.v.R., Reflectance Reconstruction from Multispectral Images Using Deep Neural Networks, Master Thesis
  • T. T., Verwendung von Multi-Agenten Systemen zur Verhaltensmodellierung in unbekannten Spielen, Master Thesis
  • T. S., Clustering Analysis of the Hearthstone Meta-Game, Master Thesis
  • M. K., Kinematic Path Planning using Neural Network based Rollout Strategies, Master Thesis,
  • S. A., Regression Analysis for Optimizing Power Consumption of Production Plants, Master Thesis
  • B. H., Developing agents for pre-made Hearthstone decks, Bachelor Thesis

 

Finished:

 

  • Jonathan Spiegel
  • Classification of Differently Trained Larvae Based on Changes in their Trajectories Using Artificial Neural Networks
  • Bachelor Thesis, OVGU
  • Supervision: Rudolf Kruse
  • Advisor: Alexander Dockhorn
  • June, 2018

 

  • Chris Saxton
  • Ermitteln der Siegbedingung und Regeln unbekannter Spiele durch Assoziationsanalyse
  • Bachelor Thesis, OVGU
  • Supervision: Rudolf Kruse
  • Advisor: Alexander Dockhorn
  • June, 2018

 

  • Maurice Hoffmeister
  • Multikriterielle Wegfindung für Agentengruppen
  • Bachelor Thesis, OVGU
  • Supervision: Rudolf Kruse
  • Advisor: Alexander Dockhorn
  • April, 2018

 

  • Matthias Hewelt
  • Entscheidungsheuristische Erweiterung des UCT-Algorithmus für Doppelkopf
  • Master Thesis, OVGU
  • Supervision: Rudolf Kruse
  • Advisor: Alexander Dockhorn
  • March, 2017

 

  • Leopold Ryll
  • Kursverlaufvorhersage vonWertpapierenmit Hilfe von Ensemble Classification
  • Bachelor Thesis, OVGU
  • Supervision: Rudolf Kruse
  • Advisor: Alexander Dockhorn
  • March, 2017

 

Last Modification: 19.06.2018 - Contact Person:

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