We had a strong showing at this year’s Advances in Cognitive Systems conference, which took place at Stanford University. Ellis Brown gave an oral presentation on our work modeling human visual attention and salience for moving targets. Fernanda Eliott presented a poster on IACI, a proposed new cognitive architecture for modeling and studying open ended visual data exploration. And Xiaotian Wang presented a poster on our investigations of how different training regimes affect the performance of neural networks for object recognition.

Full citations below:

Brown, E., Park, S., Warford, N., Seiffert, A., Kawamura, K., Lappin, J., and Kunda, M. (2018). SpatioTemporal Template-based Search: An architecture to model human search for spatiotemporal targets. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA.

Eliott, F., Stassun, K., and Kunda, M. (2018). IACI: A human-inspired computational architecture to help us understand visual data exploration. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA.

Wang, X., Wang, X., and Kunda, M. (2018). Ordering of training inputs for a neural network learner. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA.