Welcome to the Complex Adaptive Systems and Computational Intelligence (CASCI) Wiki!

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 are on evolutionary systems, adaptive search and recommendation, text and literature mining, bioinformatics, computational biology, artificial life, complex networks, cognitive science and biosemiotics.

In the Spring 2008 semester, we are affiliated with the Language from the Bottom-up Reading Group, which looks at approaches to the origin, evolution, and use of language from the points of view of complexity, dynamical systems, ALife, and biosemiotics.

As a group, we are seriously interconnected with other research groups and networks: Alife@IU, Biocomplexity Institute, Cognitive Science Program, Complex Systems Group @ IU, Complex Systems & Networks, FLAD Computational Biology Collaboratorium, InfoVis Lab, Instituto Gulbenkian de Ciencia, Networks an Agents (NAN).