Principal members are:
Research in applied artificial intelligence addresses problems in various domains, applying new and existing approaches from artificial intelligence. We have recently considered problems in video game agent design, and biomechanics fall prediction, and complex systems simulation and planning.
Hahn, M., Farley, A.M., Lin, V., and Chou, L-S, "Neural network estimation of balance control during locomotion", Journal of Biomechanics, p717-724, (2005).
Hahn, M., Farley, A.M., Lin, V., and Chou, L-S, "Neural network models for estimation of balance control, detection of imbalance, and estimation of falls risk", in Computational Intelligence for Movement Sciences: Neural Networks, Support Vector Machines, and Other Emerging Technology , Begg and Palaniswami (eds), Idea Group, p217-242, (2006).
Ludwig, J. and Farley, A.M., "A learning infrastructure for improving agent performance and game balance", Proceedings of Artificial Intelligence in Interactive Digital Entertain- ment (AIIDE) , (2007).
Ludwig, J. and Farley, A.M., "Using hierarchical dynamic scripting to create adaptive ad- versaries", Proceedings of Behavior Representation in Modeling & Simulation (BRIMS) , (2008).
Rodriguez, H., Farley, A.M., and Flores, J.J., "Qualitative bifurcation diagrams", (2012) submitted.
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