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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, literature and social media 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), Indiana University Network Science Institute (IUNI), Biocomplexity Institute, Cognitive Science Program, Alife@IU, 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 sending an email message to from the address you want to subscribe to the list, with subject line: subscribe CASCI-L Firstname Lastname (leave the message body blank.) More detailed instructions are available.

CASCI projects

Literature Mining

Biomedical Literature and Social Media Mining

Collective Dynamics in Complex Biochemical Networks

Dynamics, Control, and Redundancy in Complex Biochemical Networks

 Semi-metric Network Analysis

Redundancy and Network Analysis of Weighted Graphs

 The Adaptive Web and Bio-inspired designs for Recommendation Systems

The Adaptive Web

Models of RNA Editing

Models of RNA Editing

Artificial Immune Systems

Microarray Analysis

Genomic Multivariate Analysis

 Biosemiotics: interplay between self-organization and selection


Agent-based modeling

Agent-based modeling

Uncertainty and Generalized Information Theory

Uncertainty and Generalized Information Theory