Research

Learning in Multi-Agent systems

Machine learning for Data mining

Reinforcement Learning

Genetic Algorithms

(Evolutionary) Game Theory

Neural Networks

Support Vector Machines

Bayesian Networks

Fuzzy control and modeling

Adaptive, distributed CAC and routing in telecom

Modeling of at-line process-control

Wireless Sensor Networks

Bioinformatics

Supply Chain Management

Distributed Collaboration Using Multi-Agent System Architectures (DiCoMas, 2008-2011)

Learning Control for Production Machines (LeCoPro, 2009-2013)

The InSilico Wet Lab Project (InSilico, 2007-2010)

Pasquale Gurzi, (expected, February 2012), Routing and Wavelength Assignment in Transparent Optical Networks

Yann-Michaël De Hauwere, June 28 2011, Sparse Interactions in Multi-Agent Reinforcement Learning

Walter Colitti, May 2010, Multi-layer Traffic Engineering in the New Generation Internet Based on IP/MPLS over ASON/GMPLS networks

Sven Van Segbroeck, April 2010, Complex dynamics in adaptive networks

Peter Vrancx, March 11 2010, Decentralised Reinforcement Learning in Markov Games.

Yifei Chen, February 19 2010, Biological Literature Miner: Gene Mention Recognition and Protein-Protein Interaction Pair Extraction.

Feng Liu, February 19 2010, Literature Miner: Gene Normalization and Interaction Article Classification.

Stijn Meganck, December 5 2008, Towards an Integral Approach for Modeling Causality.

Maarten Peeters, May 19 2008, Solving Multi-Agent Sequential Decision Problems Using Learning Automata.

Johan Parent, November 24 2006, Study of the impact of genotype compression for genetic programming.

Bram Vanschoenwinkel, May 8 2006, Context-Sensitive Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data: a Distance Function Viewpoint.

Ann Defaweux, April 26 2006, Evolutionary Transitions as a Metaphor for Compositional Search: Definition and Evaluation of a new Optimisation Algorithm.

Sam Maes, December 2005, Multi-Agent Causal Models: Inference and Learning.

Piet van Remortel, October 2004, Investigation the Use of Developmental Genomes for Artificial Evolution.

Alain Gaetan Njimoluh Anyouzoa, October 2004, Resource Allocation as an Evolving Strategy in a Free Entry and Exit Setting.

Katja Verbeeck, September 2004, Coordinated Exploration in Multi-Agent Reinforcement Learning.

Karl Tuyls, April 2004, Learning in Multi-Agent Systems. An Evolutionary Game Theoretic Approach.

Mohamed Fakir, January 2004, Resource Optimization Methods for Telecommunication Networks.

Lan Tran Ngoc, December 2003, Heuristic Methods for Efficient Protection of Optical Networks.

Tom Lenaerts, May 2003, Different Levels of Selection in Artificial Evolutionary Systems: Analysis and Simulation of Selection Dynamics.