Hybrid-augmented intelligence: collaboration and cognition

@article{Zheng2017HybridaugmentedIC,
  title={Hybrid-augmented intelligence: collaboration and cognition},
  author={Nanning Zheng and Zi-yi Liu and Pengju Ren and Yongqiang Ma and Shi-tao Chen and Si-yu Yu and Jianru Xue and Badong Chen and Fei-Yue Wang},
  journal={Frontiers of Information Technology & Electronic Engineering},
  year={2017},
  volume={18},
  pages={153-179}
}
The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 136 references

Fragmentation knowledge processing and networked artificial

  • J. J. Wang, Y. Q. Ma, Chen, S.T
  • Seieat. Sin
  • 2017
Highly Influential
3 Excerpts

Intuition in Science and Mathematics: an Educational Approach

  • H. Fischbein
  • 2002
Highly Influential
2 Excerpts

Attentional requirements of learning: evidence from performance measures

  • M. J. Nissen, P. Bullemer
  • Cogn. Psychol.,
  • 1987
Highly Influential
2 Excerpts

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