Vision

Computational Intelligence is the new(ish) approach to Artificial Intelligence, roughly distinguished by its sub-symbolic, bottom-up character and the use of nature-inspired computational methods. The greater context in which we position our research is that of the increasing number of connected information processing devices in our lives and the related 'trends' regarding, for instance, ambient intelligence, robotics, the internet of things, quantified self, etc.

We expect that the next wave of artificial intelligence will be collective intelligence, based on heterogeneous groups of many connected units. Furthermore, we envision two features becoming essential: adaptivity and autonomy.

We are especially interested in the combination of collectivity, adaptivity, and autonomy. Systems in the intersection of these areas include (future versions of) swarm robotic systems, smart grids, distributed sensor networks, eHealth systems with interactive sensing devices, ambient assisted living, and smart vehicles.

We perceive adaptivity as the Grand Challenge in collective intelligent systems of the future because these systems must be equipped for scenarios where the operational circumstances are:

  • changing,
  • not fully known in advance,
  • so complex that behavioural rules cannot be designed & coded by traditional analytical means.

Our research is focused on algorithmic aspects. In particular, we work in evolutionary computing and machine learning, addressing fundamental issues as well as applications in optimization, data mining, artificial life, robotics, and art. The strategic research threads of the group are:

  • parameter setting in evolutionary algorithms
  • embodied evolution in (simulated) robot swarms,
  • collective adaptation in hybrid populations (humans, smart devices, robots)

Our Team

Prof. dr. Guszti Eiben
Head of the Group

Prof. dr. Guszti Eiben
Dr. Mark Hoogendoorn
Assistant professor

Dr. Mark Hoogendoorn
Dr. Diederik M. Roijers
Assistant professor

Dr. Diederik M. Roijers
Bart Kamphorst
Postdoc

Bart Kamphorst
Seyed Amin Tabatabaei
Eoin Grua
PhD Student

Eoin Grua
Ali El Hassouni
PhD Student

Ali El Hassouni
Jacqueline Heinerman
PhD Student

Jacqueline Heinerman
Jörg Stork
PhD Student

Jörg Stork
Floris den Hengst
PhD Student

Floris den Hengst
Margarita Rebolledo
PhD Students

Margarita Rebolledo
Milan Jelisavcic
PhD Student

Milan Jelisavcic
Jan Klein
PhD Student

Jan Klein
Gongjin Lan
PhD Student

Gongjin Lan
Karine Miras
PhD Student

Karine Miras
Luca Roggeveen
PhD Student

Luca Roggeveen
Alessandro Zonta
PhD Student

Alessandro Zonta

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