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Projects


The main research areas we actively pursue are Evolutionary Computing, Emergent Collective Intelligence, and Data Mining. Particular subjects include parameter tuning and parameter control in evolutionary algorithms, self-organization of complex systems, emergence of specialization, evolutionary robotics, streaming data mining, evolution of economic strategies, CI methods for semantic Web applications and eHealth applications.

Our research is spread over several projects amongst which are:


  • DREAM stands for Deferred Restructuring of Experience in Autonomous Machines. DREAM is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 640891 (2015-2018). DREAM is a Future and Emerging Technologies proactive project (FET Proactive). It involves several major european institutions from four different countries: Université Pierre et Marie Curie (coordinator), CNRS, ENSTA ParisTech, VU Amsterdam, Queen Mary University, Universidade da Coruña. DREAM is a 4 year project: 2015-2019.
    The DREAM project is a robotic project that aims to incorporate sleep and dream-like processes within a cognitive architecture to achieve the capability to generalise knowledge gained in on-line learn-ing, in particular in learning through evolutionary methods. Through generalisation of knowledge, robots are able to identify chains of behaviours that solve (sub-)tasks in varying circumstances. This will allow the robots to go beyond the rote learning of appropriate behaviour for very particular tasks and environments.
    The role of the CI group in this project is to work on the exchange of knowledge between the robots to see the impact on the speed of learning and the efficiency of the behaviours.
    Website: robotsthatdream.eu

  • Meta-Learning in Evolutionary Computation, 2013-2017.
    Funding: fellowship SFRH/BD/84381/2012 from Portugal's Foundation for Science and Technology (FCT).
    PhD grant awarded to Luís F. Simões.

Previous projects we have been involved in include:


  • AWARE: Awareness is a Coordination Action (CA), supporting research under the FP7: FET Proactive Initiative: Self-Awareness in Autonomic Systems (Awareness). The CA is a 3 year project: 2010 – 2013. Awareness provide a supportive environment for research into self-awareness in autonomic systems, helping to create a well-connected community of researchers and conveying a coherent prospect to a wider scientific and technological audience. The CI group is the leader of the training activities within this project. Website.

  • OPTI-FOX: OPTImization of the automated Fitting to Outcomes eXpert with language-independent hearing-in-noise test battery and electro-acoustical test box for cochlear implant users (FP7 EU project). The main objective of the project concerns the improvement of fitting of cochlear implants by means of advanced techniques for the domain of computational intelligence. The role of the CI group concerns the application of data mining techniques for this purpose. Website.

  • SYMBRION: Symbiotic Robotic Organisms (FP7 EU project). The main focus of these projects is to investigate and develop novel principles of adaptation and evolution for symbiotic multi-robot organisms based on bio-inspired approaches and modern computing paradigms. Such robot organisms consist of super-large-scale swarms of robots, which can dock with each other and symbiotically share energy and computational resources within a single artificial-life-form. When it is advantageous to do so, these swarm robots can dynamically aggregate into one or many symbiotic organisms and collectively interact with the physical world via a variety of sensors and actuators. The role of the CI group in this project is to work on evolutionary methods for this purpose. Website.

  • ADISS: Adaptive Distributed Intelligent Sensor Systems, together with the Netherlands Organisation for Applied Scientific Research (TNO). A trend in sensor systems for surveillance is to go from large single platform static systems to smaller, possibly mobile, systems with more adaptable complementary sensors. Promising is the research being done on fusing measurements from sophisticated dissimilar and distributed sensors while tracking. In the cognitive system model that we use, the hierarchical agents building the most suitable awareness as well as the hierarchically organized sensor management agents work together to adapt the system such that the most utile information is provided at the right time. The particular topic of research is then how these distributed heterogeneous en hierarchically organized agents work together to achieve this.

  • OANEC: Operational Analysis support to Networked Enabled Capabilities (OANEC) together with the NLDA Den Helder. ‘Information dominance and superiority’, ‘network centric warfare’ and ‘agility and adaptivity’ are terms that have become part of the lexicon associated with the transformation of the military force. The concept of Network Enabled Capabilities (NEC) involves the use of complex, networked systems, consisting of many components that are heterogeneous in functionality and capability with both nonlocal and non-linear interactions and effects. The goal of the research is to investigate the interaction between various network topologies on the one hand and type of agents on the other hand with respect to completing some mission. We like to develop measures of effectiveness or fitness that can be used to evaluate the various configurations.

  • EVOBODY: Embodied Evolution (FP7 FET project). The main aim of EVOBODY was to facilitate the identification and formulation of novel research topics in the field of unbound evolutionary processes, embodied in different real systems, 2010-2011. Website.

  • VUBIS: Part of the Network Institute of the VU Amsterdam. (2004-2008)

  • DIANA: Data Interception and Analysis, funded by the Dutch Ministry of Economy, 2004-2008.

  • NEW-TIES: New and Evolving World Models through Individual, Evolutionary and Social Learning, EU FP6-FET project. The NEW TIES project is growing an artificial society using computer programming that develops agents--or adaptive, artificial beings--that have independent behaviors. The project is the first of its kind to develop a large-scale and highly complex computer-based society. The project's results may have larger implications for information technologies design, evolutionary computing systems, artificial intelligence and linguistics. The project's goal is to evolve an artificial society capable of exploring and understanding its environment through cooperation and interaction. The agents are sufficiently complex and their environment demanding, which enables them to develop a communication system to learn how to cooperate and to adapt, 2004-2007. Website.

  • FALK-ANDES: industry project, 2003.

  • DREAM: Distributed Evolutionary Algorithm Machine, EU FP5-IST. 2002-2005

  • GENERE: Genetic Relational Search for Inductive Learning, Dutch National Science Foundation (NWO), 2001-2004.

  • EvoNet 2: Network of Excellence in Evolutionary Computing, EU FP5-IST. 200-2003.

The input and output of our work consists of several resources and publications.
If you are interested in downloading one of the tools we have developed/used in the past please visit the resources section.