Complex Systems Modeling Application areas

Application Areas

These are some of the areas that can profit from the application of complex systems modeling research and development. See also our specific current projects in these areas.

Computational Biology.

DNA Sequencing: Combinatorial optimization in biology.
Microarray data analysis: Using Custering and Association Rules, Singular Value Decomposition and Principal Components Analysis
Genetic Regulatory Networks: Design Principles of Genetic Regulatory Networks
Models of genetic regulatory processes such as RNA Editing
Proteomics: Protein Function Inference (LDRD-DR).
"Bibliomics": Integrative Technology for Bioinformatics
Neuroscience: Network properties of living neural networks

Social Systems

Social Networks: Social trends and the structure of human societies, Identification of Interests, Trends and Dynamics in Document Networks, Dynamics of Social Networks.
Decision Processes and Knowledge Structures of Multi-Agent Systems: agent-based modeling of socio-technical organizations, Agent-based modeling for Agents with Knowledge
Economic and Financial Markets Modeling. - Modeling and Simulation of Deregulated Electricity Market
Homeland Defence and Intelligence Community: Discovery of latent associations in terrorist networks, Infrastructure Protection.

Distributed Knowledge Systems.

Information Retrieval, Web Technology, and Digital Libaries: Adaptive Behavior and Reinforcement Learning to develop Recommendation Systems for Digital Libraries, Identification of Interests, Trends and Dynamics in Document Networks
Knowledge Integration: Advanced Knowledge Integration in Assessing Terrorist Threats, Integrative Technology for Bioinformatics

Optimization. Local Search Methods, Extremal Optimization , Combinatorial optimization in biology.
Evolutionary Systems

Evolutionary Algorithms: Contextual Genetic Algorithms, Mate Selection Schemes in Genetic Algorithms, Immune System Model to Explore Mate Selection in Genetic Algorithms.
Cellular Automata and Artificial Life: Reproduction Strategies, Evolving Cellular Automata Rules

For more information contact Luis Rocha at rocha@lanl.gov
Last Modified: August 16, 2003