Complex Adaptive Systems and Computational Intelligence
We are a research group at Indiana University 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 computational biology, complex networks, text and literature mining, evolutionary systems, adaptive search and recommendation, bioinformatics, artificial life, 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).
You are welcome to join our mailing list CASCI-L by either:
- sending an e-mail to listserv@indiana.edu with subscribe CASCI-L in the body (with no subject), or
- via the LISTSERV web interface: https://listserv.indiana.edu/cgi-bin/wa-iub.exe?HOME ; Click Subscriber’s Corner at the top of the page. Search for “CASCI-L” select it and click Submit.
Literature and Text Mining
Genomic Multivariate Analysis
Models of RNA Editing
Bio-semiotics
Emergent Computation in Network Dynamics
Artificial Immune Systems
The Adaptive Web and Bio-inspired designs for Recommendation Systems
Network Analysis of Weighted and Fuzzy Graphs
Agent-based modeling
Uncertainty and Generalized Information Theory
Cx-Nets is a virtual collaboratory of three research groups that despite their far apart geographical locations pursue the same research agenda in close collaboration. Active research areas include:
