My Research Work
Content Overview
Project Abstract
My research work aims at developing Integrated Neuro-Cognitive Architecture (INCA) framework, a hybrid symbolic-connectionist cognitive architecture that strives to describe various functional aspects of the human brain using computational models, and to amalgamate these models to capture the holistic organization of cognition. INCA views the human cognition as an emergent process involving dynamic interactions of multiple brain systems, each of which plays a specific role. Epitomizing these brain systems would facilitate a strong understanding of the synergy between low-level subsymbolic and higher-level (meta) symbolic cognitive processes. This in turn provides a useful insight for the creation of a general machine intelligence that resembles humans.
Publication List
Book Chapter
R. J. Oentaryo, M. Pasquier, and W. Duch, "Cognitive architectures and general intelligence: Where do we go from here?," in Developing a Roadmap to Human Level Intelligence, W. Duch and J. R. Taylor, Eds.: Springer, 2008.
International Journal
- R. J. Oentaryo, M. Pasquier, and C. Quek, "GenSoFNN-Yager: A novel brain-inspired neuro-fuzzy decision support system realizing Yager inference," Expert Systems with Applications, vol. 35, no. 4, pp. 1825-1840, 2008. [Paper]
- M. Pasquier and R. J. Oentaryo, "Learning to drive the human way: A step towards intelligent vehicles," International Journal of Vehicle Autonomous Systems, Special Issue on Advances in Autonomous Vehicle Technologies for Urban Environment, vol. 6, no. 1-2, pp. 24-47, 2008. [Paper]
- R. J. Oentaryo and M. Pasquier, "RFCMAC: A rule reduction based localist neuro-fuzzy system for knowledge extraction," IEEE Transactions on Neural Networks, submitted for publication.
- R. J. Oentaryo, E. Lumanpauw, and M. Pasquier, "A generic hyper-parameter evolutionary optimization framework for pattern recognition system," IEEE Transactions on Systems, Man, and Cybernetics, Part B, submitted for publication.
- R. J. Oentaryo, D. Partouche, M. Pasquier, and C. Quek, "Automated driving system based on the novel generic self-organizing fuzzy neural network," IEEE Transactions on Intelligent Transportation Systems, in preparation.
International Conference
- R. J. Oentaryo and M. Pasquier, "Towards a novel integrated neuro-cognitive architecture (INCA)," in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), Hong Kong, 2008, pp. 1903-1910. [Paper][Slides]
- R. J. Oentaryo and M. Pasquier, "A reduced rule-based localist network for data comprehension," in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), Hong Kong, 2008, pp. 2661-2668. [Paper][Slides]
- W. Duch, R. J. Oentaryo, and M. Pasquier, "Cognitive architectures: Where do we go from here?", in Artificial General Intelligence 2008 - Proceedings of the First AGI Conference, P. Wang, B. Goertzel, and S. Franklin, Eds.: IOS Press, 2008, pp. 122-136. [Paper][Slides][Transcript]
- E. Lumanpauw, M. Pasquier, and R. J. Oentaryo, "Generic GA-based meta-level parameter optimization for pattern recognition systems," in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Singapore, 2007, pp. 1593-1600. [Paper][Poster]
- R. J. Oentaryo and M. Pasquier, "GenSoFNN-Yager: A novel hippocampus-like learning memory system realizing Yager inference," in Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN). Vancouver, BC, Canada, 2006, pp. 705-712. [Paper][Slides]
- R. J. Oentaryo and M. Pasquier, "Self-trained automated parking system," in Proceedings of the IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), vol. 2. Kunming, China, 2004, pp. 1005-1010. [Paper][Poster]
Technical Report
- R. J. Oentaryo, "Metacognitive intelligent system in complex environments," School of Computer Engineering, Nanyang Technological University, Singapore, First Year Ph.D. Confirmation Report, 2006.
- R. J. Oentaryo, "Automated driving based on self organizing GenSoYager neuro-fuzzy system," Centre for Computational Intelligence, Nanyang Technological University, Singapore, Technical Report C2i-TR-002/05, 2005.
