This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Knowledge Consolidation and Inference in the Integrated Neuro-Cognitive Architecture
July/August 2011 (vol. 26 no. 4)
pp. 62-71
Richard J. Oentaryo, Nanyang Technological University, Singapore
Michel Pasquier, American University of Sharjah, United Arab Emirates

The Integrated Neuro-Cognitive Architecture (INCA) emulates the putative functional aspects of various major brain systems via a learning memory modeling approach. (This pdf contains an error. The DOI listed for the Web Extra should be http://doi.ieeecomputersociety.org/10.1109/MIS.2010.6)

1. D. Michie and R. Johnston, The Creative Computer, Viking, 1984, p. 214.
2. A. Newell, Unified Theories of Cognition, Harvard Univ. Press, 1990.
3. R. Sun and F. Alexandre, Connectionist Symbolic Integration, Erlbaum, 1997.
4. R. O'Reilly and Y. Munakata, Computational Explorations in Cognitive Neuroscience: Understanding of the Mind by Simulating the Brain, MIT Press, 2000.
5. W. Duch, R.J. Oentaryo, and M. Pasquier, "Cognitive Architectures: Where Do We Go from Here?" Proc. 1st Artificial General Intelligence Conf., P. Wang, B. Goertzel, and S. Franklin eds., IOS Press, 2008, pp. 122–136.
6. R.J. Oentaryo, and M. Pasquier, "Towards a Novel Integrated Neuro-Cognitive Architecture (INCA)," Proc. IEEE Int'l Joint Conf. Neural Networks, IEEE CS Press, 2008, pp. 1902–1909.
7. R.J. Oentaryo, M. Pasquier, and C. Quek, "GenSoFNN-Yager: A Novel Brain-Inspired Generic Self-Organizing Neuro-Fuzzy System Realizing Yager Inference," Expert Systems with Applications, vol. 35, no. 4, pp. 1825–1840, 2008.
8. R.J. Oentaryo and M. Pasquier, "A Reduced Rule-Based Localist Network for Data Comprehension," Proc. IEEE Int'l Joint Conf. Neural Networks, IEEE CS Press, 2008, pp. 2660–2667.
9. E.R. Kandel, J.H. Schwartz, and T.M. Jessel, Principles of Neural Science, 4th ed., McGraw-Hill, 2000.
10. M. Pasquier and R. J. Oentaryo, "Learning to Drive the Human Way: A Step Towards Intelligent Vehicles," Int'l J. Vehicle Autonomous Systems, vol. 6, nos. 1–2, 2008, pp. 24–47.
11. A.G. Pedersen and H. Nielsen, "Neural Network Prediction of Translation Initiation Sites in Eukaryotes: Perspectives for EST and Genome Analysis," Proc. Int'l Conf. Intelligent Systems for Molecular Biology, AAAI Press, 1997, pp. 226–233.
1. E.R. Kandel, J.H. Schwartz, and T.M. Jessel, Principles of Neural Science, 4th ed., McGraw-Hill, 2000.
2. W. Duch, R.J. Oentaryo, and M. Pasquier, "Cognitive Architectures: Where Do We Go from Here?" Proc. 1st Artificial General Intelligence Conf., P. Wang, B. Goertzel, and S. Franklin eds., IOS Press, 2008, pp. 122–136.
3. A. Newell, Unified Theories of Cognition, Harvard Univ. Press, 1990.
4. R. O'Reilly, and Y. Munakata, Computational Explorations in Cognitive Neuroscience: Understanding of the Mind by Simulating the Brain, MIT Press, 2000.
5. R. Sun and F. Alexandre, Connectionist Symbolic Integration, Erlbaum, 1997.

Index Terms:
intelligent systems, cognitive architecture, knowledge acquisition, knowledge inference, learning, neural nets.
Citation:
Richard J. Oentaryo, Michel Pasquier, "Knowledge Consolidation and Inference in the Integrated Neuro-Cognitive Architecture," IEEE Intelligent Systems, vol. 26, no. 4, pp. 62-71, July-Aug. 2011, doi:10.1109/MIS.2010.6
Usage of this product signifies your acceptance of the Terms of Use.