Theses

My PhD thesis: Evolutionary Agent-Based Policy Analysis in Dynamic Environments   This was an interdisciplinary research project that used evolutionary methods to model and possibly regulate social economic interaction.

My Masters's thesis: The Paradox of Overfitting  
Overfitting is a serious problem in machine learning. This work is an empirical comparision of a simple and an advanced version of Minimum Description Length (MDL) to Cross Validation (CV). We find that CV is always as good as MDL in preventing overfitting, and somtimes significantly better.

Peer reviewed articles

Evolutionary Economics
When you have to make an important decision, do you study all the options, as believed by standard economic theory of the rational agent? Or do you simply imitate someone that seems to have found a good solution for a similar problem? My economic papers are based on the idea that we rather imitate, not rationalize, and that economic behavior evolves by imitation with small errors.

• Volker Nannen and J.C.J.M. van den Bergh, Policy Instruments for Evolution of Bounded Rationality: Application to Climate–Energy Problems, Technological Forecasting and Social Change 77, pp. 76–93, 2010. [journal, preprint]
• Volker Nannen, J.C.J.M. van den Bergh and A.E. Eiben, Impact of Environmental Dynamics on Economic Evolution: Uncertainty, Risk Aversion, and Policy. Archive

Calibration of Evolutionary Algorithm Parameters
An attempt to identify parameters that are relevant to the performance of an evolutionary algorithm.

• Volker Nannen, S. K. Smit, and A. E. Eiben, Costs and Benefits of Tuning Parameters of Evolutionary Algorithms, Proceedings of the 20th Conference on Parallel Problem Solving from Nature (PPSN), pp. 528–538, 2008. [pdf]
• Volker Nannen and A. E. Eiben, Efficient Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters, Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp. 103–110, 2007. [pdf]
• W. A. de Landgraaf, A. E. Eiben and V. Nannen, Parameter Calibration using Meta-Algorithms, Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp. 71–78, 2007. [pdf]
• Volker Nannen and A.E. Eiben, Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters, Proceedings of the Joint International Conference for Artificial Intelligence (IJCAI), pp. 975–980, 2007. [pdf]
• Volker Nannen and A.E. Eiben, Generality of Results obtained by the Parameter Calibration and Relevance Estimation Method, Proceedings of the Workshop on Empirical Methods for the Analysis of Algorithms (EMAA), in conjunction with the International Conference on Parallel Problem Solving From Nature (PPSN), Reykjavik, 2006.
• Volker Nannen and A.E. Eiben, A Method for Parameter Calibration and Relevance Estimation in Evolutionary Processes, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), pp. 183–190, 2006. [pdf]

Reports and presentations

Entropy and Complexity of Naive Patternmatching  
An example of the use of entropy for the calculation of the complexity of an algorithm.

Nominal Comparatives in Type-Logical Semantics  
Improved quantification of quantifiers in type-logical semantics and an attempt to find a recursive interpretation of type-logical semantics.

Bidirectional Optimality Theory  
Given a simple expression, how can speaker and hearer agree on the intended change of context?

Game Theory  
Presentation on pseudo-strategic forms in game theorie

Multi Agent Systems  
Presentation on common knowledge in real time communication systems

Powerspectra met behulp van de parametrische methode (Dutch)  
Evaluatie van de voor- en nadelen van het berekenen van powerspectra via de parametrische methode