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.

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

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