Complex Adaptive Systems and Computational Intelligence (PI: Luis M. Rocha)

Perhaps the key research focus in complex systems is the search for fundamental principles of the living organization and the application of these principles to enhance human technology at large, and computers in particular. We are interested in the informational properties of natural and artificial systems which enable them to adapt and evolve. We are interested both in understanding how information is fundamental for the evolutionary capabilities of natural systems, as well as in abstracting principles from natural systems to produce adaptive information technology. Below are short descriptions of some of the projects we are pursuing. Information about our group meetings, projects, and ongoing work is availavle on the CASCI Website. All are welcome to our meetings.

Adaptive web: Bio-inspired designs for Recommendation Systems; adaptive knowledge networks for collaboration and personalization; knowledge self-organization; digital libraries; fuzzy and weighted networks. More	Alaa Abihaidar, Ana Maguitman, Tiago Simas
Semi-metric networks: Study of the topological chracteristics of associative networks; using strong semi-metric associations (items whose distance relation breaks the triangle inequality) to identify trends, items with a higher probability of co-occurring in the future, as well the dynamics of networks in general; transitivite constraints of fuzzy and weighted networks;. More	Bharat Dravid, Tiago Simas
Bibliome informatics: Literature mining for biomedical research; Large-scale validation of bibliome algorithms with applications to genomics and proteomics; automatic functional annotation of biological entities. More	Alaa Abihaidar, Wei Chen, Jasleen Kaur, Ana Maguitman, Andreas Rechtsteiner, Zhiping Wang
Microarray analysis: Singular value decomposition; clustering methods via literature mining; clustering of patient data. More	Alaa Abihaidar, Jasleen Kaur, Andreas Rechtsteiner, Zhiping Wang
Evolutionary models of RNA Editing: Computational models to study the evolutionary implications of genotype editing in the living organization; study of how genotype editing leads to a different evolutionary search algorithm; investigate the conditions under which genotype editing improves the optimization performance of traditional evolutionary algorithms; evolutionary and agent-based computation; genotype-phenotype mappings; indirect encoding via RNOmics. More	Jasleen Kaur, Chien-feng Huang, Ana Maguitman
Bio-semiotics and representations: Simulations of evolving agents with different kinds of reproduction strategies; genotype-phenotype mappings; indirect encoding via development; Fuzzy development programs; More. Study of how information, symbols, representations and the like can arise from a purely dynamical system of many components; Emergent Computation in Cellular Automata; re-formulation of the concept of representation for embodied cognition; origin of representations; More.	Luis M. Rocha, Wim Hordijk