Cognitive machine learning refers to the combination of machine learning
and brain cognitive mechanism, specifically, combining
machine learning with mind model CAM. Three
research directions are proposed in this paper, that is, emergency of
learning, complementary learning system and evolution of learning.
References
[1]
Lake, B.M., Salakhutdinov, R. and Tenenbaum, J.B. (2015) Human-Level Concept Learning through Probabilistic Program Induction. Science, 350, 1332-1338.
https://doi.org/10.1126/science.aab3050
[2]
Silver, D., Huang, A., Maddison, C.J., et al. (2016) Mastering the Game of Go with Deep Neural Networks and Tree Search. Nature, 529, 484-489.
https://doi.org/10.1038/nature16961
[3]
Shi, Z.Z. (2017) Mind Computation. World Scientific, Singapore.
https://doi.org/10.1142/10174
[4]
Fukushima, K. (1980) Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position. Biological Cybernetics, 36, 193-202. https://doi.org/10.1007/BF00344251
[5]
Lecun, Y., Bottou, L., Orr, G.B., et al. (1998) Efficient Backprop. Neural Networks Tricks of the Trade, 1524, 9-50. https://doi.org/10.1007/3-540-49430-8_2
[6]
Bengio, Y., Eric, T., Alain, G., et al. (2013) Deep Generative Stochastic Networks Trainable by Backprop. Computer Science, 2, 226-234.
[7]
Hassabi, D., Kumaran, D., Summerfield, C. and Botvinick, M. (2017) Neuroscience-Inspired Artificial Intelligence. Neuron, 95, 245-258.
https://doi.org/10.1016/j.neuron.2017.06.011
[8]
McClelland, J.L., et al. (1995) Why There Are Complementary Learning Systems in the Hippocampus and Neocortex: Insights from the Successes and Failures of Connectionist Models of Learning and Memory. Psychological Review, 102, 419-457.
https://doi.org/10.1037/0033-295X.102.3.419
[9]
Kumaran, D., Hassabis, D. and McClelland, J.L. (2016) What Learning Systems Do Intelligent Agents Need? Complementary Learning Systems Theory Updated. Trends in Cognitive Sciences, 20, 512-534. https://doi.org/10.1016/j.tics.2016.05.004
[10]
Shi, Z.Z. (2012) Intelligence Science. World Scientific, Singapore.
https://doi.org/10.1142/8211
[11]
Shi, Z.Z. (2019) Intelligence Science. 3rd Edition, Tsinghua University Press, Beijing. (In Chinese)
[12]
Neisser, U. (1967) Cognitive Psychology. Prentice Hall, Upper Saddle River.
[13]
Piaget, J., Henriques, G., Ascher, E. and Brown, T. (1992) Morphisms and Categories: Comparing and Transforming. Lawrence Erlbaum Associates, New York.
[14]
Barr, M. and Wells, C. (1985) Toposes, Triples and Theories. Springer-Verlag, New York. https://doi.org/10.1007/978-1-4899-0021-0