Description

Leader of the group Intelligent and Autonomous Systems: Eric Pauwels.

Increasingly, our social and technological world is organised around complex systems. These are dynamic networks of interacting nodes (or agents) that continuously exchange digital or physical resources, including data or information, energy, materials and products. The agents in these systems face real challenges, as they often only have access to partial and noisy information and need to operate in a constantly changing and uncertain environment. As a consequence, there is an unrelenting pressure to improve the network’s overall performance and resilience by making the individual nodes more intelligent and autonomous.

In our research group, we study generic and fundamental mechanisms that enable the emergence of various degrees of organization, intelligence and autonomy in such systems, and apply them to concrete problems of societal relevance.

For more information on our seminars, visit the seminar webpage.

We invite talented Master's and PhD candidates to have a look at our internships.

News

Image processing reveals both large objects and details

PhD student Gemma Piella has developed a technique that shows large objects and small details in the same image. Normally, the amount of detail in a picture depends on its scale. For example, from a distance a forest looks like a green surface. When approaching, more details like trees, branches or even individual leaves appear, but you lose sight of the bigger picture. To solve this problem, Piella modified the wavelet transformation image processing technique. The resulting transformation retains both small and large elements by utilizing geometric information.

Image processing reveals both large objects and details - Read More…

Sander Bohte receives NWO grants

The Netherlands Organization for Scientific Research NWO has granted a VENI subsidy to CWI researcher Sander Bohte. Bohte will use the grant, approved in March 2003, to further his research on spiking neural networks. These types of networks incorporate the latest insights in functional biological neurons. In theory they are much more powerful than traditional artificial neural networks. Bothe's work is aimed at using spiking neurons in large-scale networks that can learn to deal with symbolic structures like grammar in language or compact descriptions of objects in vision.

Sander Bohte receives NWO grants - Read More…

Members

Associated Members

Current projects with external funding

Data-driven monitoring, prediction and real-time control for the smart grid and its users (project C)
Framework for demand-supply matching and ancillary service provision through distributed energy resources (project D)
Lectoraat Urban Analytics
Flexible Assets Bid Across Markets (FABAM)
Heat and Power Systems at Industrial Sites and Harbours (HaPSISH)
Energy Intranets (NEAT)
Developing algorithms for testing and use on Acumex's platform (PPS ACUMEX)
Representing Users in a Negotiation (RUN): An Autonomous Negotiator Under Preference Uncertainty (RUN)
Using small data and big data: Neighborhood Energy & Data Management Integration System (S&B NEDMIS)
Scalable Interoperability in Information Systems for Agile Supply Chains (SIISASC)