Multiobjective optimization of sensor network deployment by a genetic algorithm. - Shao Chong Oh; Chung Huat Tan; Fook Wai Kong; Yuan-Sin Tan; Khin Hua Ng; Gee Wah Ng; Kang Tai (IEEE Congress on Evolutionary Computation, 2007)

Evolving fuzzy neural networks in adaptive knowledge bases to support task-oriented decision making for sensor management. - Fook Wai Kong; Gee Wah Ng; Yuan-Sin Tan; Chung Huat Tan (FUSION, 2007)

Memory formation, consolidation, and forgetting in learning agents. - Budhitama Subagdja; Wenwen Wang 002; Ah-Hwee Tan; Yuan-Sin Tan; Loo-Nin Teow (AAMAS, 2012)

Technologies to aid decision making for maritime security. - Gee Wah Ng; Loo-Nin Teow; Kai Chin Yong; Samuel Mui; Angel Koh; Wen Haw Chong; Kheng Hwee Tan; Yuan-Sin Tan; Wei Shan Belinda Toh (FUSION, 2012)

Scene understanding using DSO Cognitive Architecture. - Gee Wah Ng; Xu Hong Xiao; Rui Zhong Chan; Yuan-Sin Tan (FUSION, 2012)

DSO Cognitive Architecture in Mobile Surveillance. - Gee Wah Ng; Yuan-Sin Tan; Xu Hong Xiao; Rui Zhong Chan (Future Security, 2012)

Self-organizing neural networks for learning air combat maneuvers. - Teck-Hou Teng; Ah-Hwee Tan; Yuan-Sin Tan; Adrian Yeo (IJCNN, 2012)

A self-organizing multi-memory system for autonomous agents. - Wenwen Wang 002; Budhitama Subagdja; Ah-Hwee Tan; Yuan-Sin Tan (IJCNN, 2012)

Self-Regulating Action Exploration in Reinforcement Learning. - Teck-Hou Teng; Ah-Hwee Tan; Yuan-Sin Tan (INNS-WC, 2012)

Scene Parsing and Fusion-Based Continuous Traversable Region Formation. - Xuhong Xiao; Gee Wah Ng; Yuan-Sin Tan; Yeo Ye Chuan (ACCV Workshops (1), 2014)

Declarative-procedural memory interaction in learning agents. - Wenwen Wang 002; Ah-Hwee Tan; Loo-Nin Teow; Yuan-Sin Tan (AAMAS, 2014)

Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game. - Teck-Hou Teng; Ah-Hwee Tan; Janusz A. Starzyk; Yuan-Sin Tan; Loo-Nin Teow (IJCNN, 2014)

Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning. - Teck-Hou Teng; Ah-Hwee Tan; Janusz A. Starzyk; Yuan-Sin Tan; Loo-Nin Teow (WI-IAT (3), 2014)