The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The physical symbol grounding problem
Overview
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Citations
Cites
Searle, J. R. (1980) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00005756 · Cited by 6,954
Basic objects in natural categories
Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P. (1976) · Cognitive Psychology · doi:10.1016/0010-0285(76)90013-x · Cited by 5,643
Harnad, S. (1990) · Physica D: Nonlinear Phenomena · doi:10.1016/0167-2789(90)90087-6 · Cited by 4,235
Cited by
Symbol Emergence in Cognitive Developmental Systems: A Survey
Taniguchi, T., Piater, J., Worgotter, F., Ugur, E., Hoffmann, M., Jamone, L., Nagai, T., Rosman, B., Matsuka, T., Iwahashi, N., et al. (2019) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2018.2867772 · Cited by 92
Kearney, B. E., Terpou, B. A., Densmore, M., Shaw, S. B., Théberge, J., Jetly, R., McKinnon, M. C., & Lanius, R. A. (2023) · NeuroImage: Clinical · doi:10.1016/j.nicl.2023.103426 · Cited by 33
Emergent communication through Metropolis-Hastings naming game with deep generative models
Taniguchi, T., Yoshida, Y., Matsui, Y., Le Hoang, N., Taniguchi, A., & Hagiwara, Y. (2023) · Advanced Robotics · doi:10.1080/01691864.2023.2260856 · Cited by 33
Symbol Emergence as an Interpersonal Multimodal Categorization
Hagiwara, Y., Kobayashi, H., Taniguchi, A., & Taniguchi, T. (2019) · Frontiers in Robotics and AI · doi:10.3389/frobt.2019.00134 · Cited by 31
Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference
Taniguchi, T. (2024) · Frontiers in Robotics and AI · doi:10.3389/frobt.2024.1353870 · Cited by 28
Metadata
- Authors
- Vogt, P.
- Venue
- Cognitive Systems Research
- Publisher
- Elsevier BV
- Published
- 2002-09
- Volume
- 3
- Issue
- 3
- Pages
- 429-457
- ISSN
- 1389-0417 (ISSN-L)
- OpenAlex
- W2034455548
- Cited by
- 193
- References
- 3
- FWCI
- 2.42
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
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- CoChat. (2026). Citation check: The physical symbol grounding problem. https://app.cochat.ai/papers/10.1016/s1389-0417(02)00051-7
- The paper
- Vogt, P. (2002). The physical symbol grounding problem. Cognitive Systems Research. https://doi.org/10.1016/s1389-0417(02)00051-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
