Ph.D 1979, University of Michigan
Artificial Intelligence, Game Programming, Artificial Intelligence in Games, Machine Learning, Evolutionary Computation, Cultural Algorithms, Multi-agent systems, intelligent agents, and multi-objective problem solving
- July 23, 2014
Robert Reynolds, is co-author of a paper published in the August edition of the IEEE Computational Intelligence Magazine, the flagship magazine of the IEEE Computational Intelligence Society. Reynolds co-cuthored "Extracting Urban Occupational Plans Using Cultural Algorithms" with Thaer Jayyousi.
- April 30, 2014
Robert Reynolds, assisted in research and a study published by the Proceedings of the National Academy of Sciences. The study, titled "A 9,000-year-old caribou hunting structure beneath Lake Huron," focuses on the newly discovered Drop 45 Lane, the most complex hunting structure found to date beneath the Great Lakes.
Archaeologist John O'Shea of the University of Michigan was the lead author of the study. Professor Reynolds and his team contributed to the study through the generation of a program that used computer game technology and Artificial Intelligence to predict where to look for sites underneath Lake Huron. The predictions were based upon modeling the movement of caribou herds through a 3D virtual landscape that recreated the Land Bridge environment. The site reported in this study was one of those predicted by Reynolds' model. This suggests the benefits that can accrue from underwater archaeology when coupled with the use of new cutting edge technologies.
The study can be found here: http://www.pnas.org/content/early/2014/04/25/1404404111