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Research Bernoulli Institute Computing and Cognition


The projects carried at the Bernoulli institute in the area of Computing and Cognition cover a wide breadth of topics, among which some of the most important aim to:
  • give computers abilities to perceive (e.g. see, hear and smell), analyse, learn, take decisions and enhance human creativity with applications in in medical sciences and health care (dermatology, ophthalmology, psychiatry, oncology, rheumatology, endocrinology), natural sciences (astronomy, bioinformatics), surveillance, computer vision, robotics, animal breeding, law enforcement and finance. Exemplifying projects: Trimbot2020, SmartBreed, Sundial
  • Study human cognition by creating cognitive models of complex behavior. Cognitive models are, essentially, theories of how people think, implemented in computer simulations. To test these models, their predictions are compared to human data from behavioral and neuroimaging studies. In particular, we are interested in model-based analyses of neural data, in which a model is used to guide the interpretation of the data. Cognitive models can be applied in many domains: they can be used as the basis for designing education and training, or they can be used to implement intelligent agents in various applications. Many of the models we build are developed with the ACT-R language/modeling formalism or the PRIMs architecture which was originally developed by our group.
  • The research areas involved in this theme include machine learning, artificial intelligence, pattern recognition, cognitive computing, brain-inspired computing, big data analytics,statistical modelling of networks, bioinformatics, system biology, high-dimensional inference and statistical model uncertainty.
Last modified:09 February 2021 11.38 a.m.