1. Stephen Gilmore is professor at the University of Edinburgh, he is the Chair of Software Systems Modelling in the School of Informatics and a member of the Laboratory for Foundations of Computer Science.

    His principal area of research is centred on the application of stochastic process algebras, as concise modelling languages for quantitative analysis of concurrent systems

    He is involved in the Quanticol project

    # vimeo.com/69152956 Uploaded
  2. Thomas Schmickl is currently affiliated as associate professor at the Department for Zoology at the University of Graz (Austria). In this lab, he founded the Artificial Life Lab Graz.

    His research interests concern: Bio-inspired artificial collective intelligence within robot swarms, Application and re-embodiment of self-organized animal behavior in autonomous robots, Study of animal behavior, with strong emphasis on social insects, Investigating the phenomena of self-organization and of swarm intelligence, Creating multi-agent models and simulations.

    He is the coordinator of the ASSISI |bf project.

    # vimeo.com/69153098 Uploaded
  3. Nuno Luz is a PhD student at the Knowledge Engineering and Decision Support Research Center, Instituto Superior de Engenharia do Porto, in Portugal.

    His main research interests concern collective intelligence, mobile devices, recommendation systems.

    # vimeo.com/71241674 Uploaded
  4. Dharani Punithan is a PhD student at the School of Computer Science and Engineering of the Seoul National University, in South Korea.

    Her research interests are interdisciplinary and cover Computer Science, Sociology, and Anthropology Of Nature.

    # vimeo.com/78152550 Uploaded
  5. Onofrio Gigliotta received his Ph.D in Psychology at the University of Palermo and currently he is researcher at the University of Naples "Federico II" in Italy. He has a special interest in Evolutionary Robotics, Psychology and Cognitive Science.

    # vimeo.com/78153729 Uploaded

Research Landscape


Interviews with researchers working in the domain of the fundamentals of collective adaptive systems.

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