Toward the third generation artificial intelligence
Integrity signals
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Cites
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Claims the paper makes
Cites
Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568 · see citing works
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280 · cited 1× · see citing works
“In 1958, Rosenblatt [13,14] built a perceptron—the prototype of an artificial neural network (ANN)–based on the idea of connectionism.”
BackgroundTowards Deep Learning Models Resistant to Adversarial Attacks
Madry, A., Makelov, A., Schmidt, L., Tsipras, D., & Vladu, A. (2017) · arXiv · doi:10.48550/arxiv.1706.06083 · Cited by 6,602 · see citing works
Harnad, S. (1990) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(90)90087-6 · Cited by 4,235 · cited 1× · see citing works
“But, from the cognition perspective, they are fundamentally different in terms of the symbol grounding problem [35].”
BackgroundCan we open the black box of AI?
Castelvecchi, D. (2016) · Nature · doi:10.1038/538020a · Cited by 1,773 · see citing works
Visual7W: Grounded Question Answering in Images
Zhu, Y., Groth, O., Bernstein, M., & Fei-Fei, L. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.540 · Cited by 794 · cited 1× · see citing works
“More work can be referred to in [92,93].”
BackgroundOn Adaptive Attacks to Adversarial Example Defenses
Tramer, F., Carlini, N., Brendel, W., & Madry, A. (2020) · arXiv · doi:10.48550/arxiv.2002.08347 · Cited by 486 · see citing works
Silver, D., Singh, S., Precup, D., & Sutton, R. S. (2021) · Artificial Intelligence · doi:10.1016/j.artint.2021.103535 · Cited by 445 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Camilleri, M. A. (2024) · Expert Systems · doi:10.1111/exsy.13406 · Cited by 331 · see citing works
Ofosu-Ampong, K. (2024) · Telematics and Informatics Reports · doi:10.1016/j.teler.2024.100127 · Cited by 81 · see citing works
Peterson, S. (2025) · Frontiers in Education · doi:10.3389/feduc.2025.1610836 · Cited by 30 · see citing works
Qualitative Research in the Era of AI: A Return to Positivism or a New Paradigm?
Chatzichristos, G. (2025) · International Journal of Qualitative Methods · doi:10.1177/16094069251337583 · Cited by 34 · see citing works
Zuo, Z., Luo, Y., Yan, S., & Jiang, L. (2025) · Systems · doi:10.3390/systems13080664 · Cited by 29 · see citing works
- Authors
- Zhang, B., Zhu, J., & Su, H.
- Affiliations
- Tsinghua University (CN)
- Corresponding author
- Zhang, Bo
- Venue
- Science China Information Sciences
- Published
- 2023-01-12
- Volume
- 66
- Issue
- 2
- ISSN
- 1869-1919 (ISSN-L)
- 1674-733X
- OpenAlex
- W4316369370
- Cited by
- 217
- References
- 8
- Citations by year
- 2026: 33 · 2025: 80 · 2024: 68 · 2023: 35 · 2021: 1
- FWCI
- 18.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Science China Information Sciences (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Computing and Networks
- Keywords
- symbolism, connectionism, explainable AI, robust AI, AI safety, AI reliability, human behavior simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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