Vanessa Volz (No longer at TUDo)

• Computational Intelligence and Games
• Multi-Objective Optimisation
• Evolutionary Algorithms
• Surrogate-assisted Optimisation
• Computational Mechanism Design
• Machine Learning

• GECCO 2018 Game-Benchmark Workshop
• GECCO 2018 Student Workshop
• GECCO 2017 Student Workshop
• GECCO 2016 Student Workshop
• CIG at the chair

• Vanessa Volz, Kevin Majchrzak, Mike Preuss. 2018. A Bottom-Up Approach to Explanations for (Game) AI. In Computational Intelligence in Games Conference (CIG 2018). IEEE Press, Piscataway, NJ. To appear.
• Mike Preuss, Thomas Pfeiffer, Vanessa Volz, Nicolas Pflanzl. 2018. Integrated Balancing of an RTS Game: Case Study and Toolbox Refinement. In Computational Intelligence in Games Conference (CIG 2018). IEEE Press, Piscataway, NJ. To appear.
• Vanessa Volz, Mike Preuss, Mathias Kirk Bonde. 2018. Towards Embodied and Interpretable StarCraft II Winner Prediction. In Computer Games Workshop at IJCAI 18. To appear.
• Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M. Lucas, Adam Smith, Sebastian Risi. 2018. Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network.In Genetic and Evolutionary Computation Conference (GECCO 2018). ACM Press, New York, NY. To appear.
• Tinkle Chugh, Alma Rahat, Vanessa Volz, Martin Zaefferer. 2018. Towards Better Integration of Surrogate Models and Optimizers. In High-Performance Simulation Based Optimization. Editors: Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi. Springer. To appear.

• Christian Eichhorn, Vanessa Volz, Richard Niland, Tim Schendekehl. 2017. A Vision on Analysing Approaches for Knowledge Representation and Reasoning Using Computer Games. In KI 2017 Workshop on Formal and Cognitive Reasoning (DKB-KIK 2017). CEUR Workshop Proceedings, 31-42.
• Daan Apeldoorn, Vanessa Volz. 2017. Measuring Strategic Depth in Games Using Hierarchical Knowledge Bases. In Computational Intelligence in Games Conference (CIG 2017). IEEE Press, Piscataway, NJ, 9-16.
• Vanessa Volz, Günter Rudolph, Boris Naujoks. 2017. Investigating Uncertainty Propagation in Surrogate-Assisted Evolutionary Algorithms. In Genetic and Evolutionary Computation Conference (GECCO 2017). ACM Press, New York, NY, 881-888. Best Paper Nomination.
• Vanessa Volz, Günter Rudolph, Boris Naujoks. 2017. Surrogate-Assisted Partial Order-based Evolutionary Optimisation. In International Conference on Evolutionary Multi-Criterion Optimization. Springer, Cham, CH, 639-653.

• Hendrik Horn, Vanessa Volz, Diego Perez-Liebana, Mike Preuss. 2016. MCTS/EA Hybrid GVGAI Players and Game Difficulty Estimation. In Computational Intelligence in Games Conference (CIG 2016). IEEE Press, Piscataway, NJ, 278-285.
• Marlene Beyer, Aleksandr Agureikin, Alexander Anokhin, Christoph Länger, Felix Nolte, Jonas Winterberg, Marcel Renka, Martin Rieger, Nicolas Pflanzl, Mike Preuss, Vanessa Volz. 2016. An Integrated Process for Game Balancing. In Computational Intelligence in Games Conference (CIG 2016). IEEE Press, Piscataway, NJ, 459-466.
• Vanessa Volz, Günter Rudolph, Boris Naujoks. 2016. Demonstrating the Feasibility of Automatic Game Balancing. In Genetic and evolutionary computation conference (GECCO 2016). ACM Press, New York, NY, 269-276. Best Paper Award.

• Jens Lechtenbörger, Florian Stahl, Vanessa Volz, Gottfried Vossen. Analyzing Observable Success and Activity Indicators on Crowdfunding Platforms. In: International Journal of Web Based Communities, 11(3/4), pp. 264-289, 2015.

• Vanessa Volz, Dan Ashlock, Simon Colton, Steve Dahlskog, Jialin Liu, Simon M. Lucas, Diego Perez-Liebana, and Tommy Thompson. Gameplay Evaluation Measures. 2017. In Dagstuhl Reports (Seminar 27471). Vol. 7, Issue 11. Editors: Pieter Spronck, Elisabeth André, Michael Cook, Mike Preuss. 86-129.
• Dan Ashlock, Cameron Browne, Simon Colton, Amy K. Hoover, Jialin Liu, Simon M. Lucas, Mark J. Nelson, Diego Perez-Liebana, Sebastian Risi, Jacob Schrum, Adam M. Smith, Julian Togelius, Vanessa Volz. Game Search Space Design and Representation. 2017. In Dagstuhl Reports (Seminar 27471). Vol. 7, Issue 11. Editors: Pieter Spronck, Elisabeth André, Michael Cook, Mike Preuss. 86-129.
• Vanessa Volz. Adaptive Control Systems for verifiably safe Human-Robot Interaction. M.Sc. thesis, University of Bristol (UK), 2014.
• Vanessa Volz. Suche von Crowdfundingprojekten mit Mahout. B.Sc. thesis, WWU Münster (GER), 2013.

Summer term 2018: DET Fachprojekt
Winter term 2017/2018: Tutorial Introduction to Computational Intelligence
Summer term 2017: DET Fachprojekt
Winter term 2016/2017: Tutorial Introduction to Computational Intelligence
Summer term 2016: DET Fachprojekt
Winter term 2015/2016: Tutorial Introduction to Computational Intelligence
Summer term 2015: Tutorial Datenstrukturen, Algorithmen und Programmierung 2
Winter term 2014/2015: Tutorial Mathematik für Informatiker

* Previous topics