ByoungTak Zhang

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Byoung-Tak Zhang [1] Byoung-Tak Zhang,

a Korean computer scientist, cognitive scientist, professor of artificial intelligence and cognitive science at Seoul National University, and director of its Center for Biointelligence Technology [2] , as well as head of its Cognitive Robotics and Artificial Intelligence Group (CRAIG). He holds a Ph.D. in CS and AI from University of Bonn in 1992, where his advisors include Gerd Veenker and Armin Cremers, and had various research and teaching appointments in academia and industry, such as visiting scholar and professor at MIT and Princeton University. His research interests include neuroinformatics, probabilistic models of brain and cognition, neural networks, genetic algorithms, and robotics.

Selected Publications

Byoung-Tak Zhang, Gerd Veenker (1991). Neural networks that teach themselves through genetic discovery of novel examples. IEEE IJCNN'91, pdf
Byoung-Tak Zhang, Gerd Veenker (1991). Focused incremental learning for improved generalization with reduced training sets. ICANN'91, pdf
Byoung-Tak Zhang (1992). Learning by genetic neural evolution: Active adaptation to unknown environments with self-developing parallel networks. Ph.D. thesis, University of Bonn, advisors Gerd Veenker, Armin Cremers and Winfried Lenders
Byoung-Tak Zhang, Heinz Mühlenbein (1993). Evolving Optimal Neural Networks Using Genetic Algorithms with Occam’s Razor. Complex Systems, Vol. 7, pdf
Byoung-Tak Zhang, Peter Ohm, Heinz Mühlenbein (1997). Evolutionary Induction of Sparse Neural Trees. Evolutionary Computation, Vol. 5, No. 2, pdf

Byoung-Tak Zhang, Je-Gun Joung (2000). Building Optimal Committees of Genetic Programs. PPSN 2000, pdf
Byoung-Tak Zhang (2008). Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory. IEEE Computational Intelligence Magazine, Vol. 3, No. 3, pdf
Byoung-Tak Zhang (2009). Teaching an agent by playing a multimodal memory game: challenges for machine learners and human teachers. AAAI 2009 Spring Symposium: Agents that Learn from Human Teachers, pdf