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Complex Adaptive Systems and Computational Intelligence
We are a research group at Indiana University and the Instituto Gulbenkian de Ciencia working on complex systems. We are particularly interested in the informational properties of natural and artificial systems which enable them to adapt and evolve. This means both understanding how information is fundamental for the evolutionary capabilities of natural systems, as well as abstracting principles from natural systems to produce adaptive information technology.
Our research projects (see below) are on computational and systems biology, complex networks, text and literature mining, evolutionary systems, adaptive search and recommendation, cognitive science, artificial life, and biosemiotics. Additional information available on Luis Rocha’s Website and our group page at the Instituto Gulbenkian de Ciencia.
For information on joining our group see our Academics page. As a group, we are seriously interconnected with other research groups and networks: The Center for Complex Networks and Systems (CNets), Alife@IU, Biocomplexity Institute, Cognitive Science Program, Complex Systems & Networks, FLAD Computational Biology Collaboratorium, InfoVis Lab, Instituto Gulbenkian de Ciencia, Networks an Agents (NAN).
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