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Cited by 654

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Autonomous Mental Development by Robots and Animals

Weng, Juyang, McClelland, James, Pentland, Alex, Sporns, Olaf, Stockman, Ida, Sur, Mriganka, Thelen, Esther·2001·Science

Abstract

How does one create an intelligent machine? This problem has proven difficult. Over the past several decades, scientists have taken one of three approaches: In the first, which is knowledge-based, an intelligent machine in a laboratory is directly programmed to perform a given task. In a second, learning-based approach, a computer is "spoon-fed" human-edited sensory data while the machine is controlled by a task-specific learning program. Finally, by a "genetic search," robots have evolved through generations by the principle of survival of the fittest, mostly in a computer-simulated virtual world. Although notable, none of these is powerful enough to lead to machines having the complex, diverse, and highly integrated capabilities of an adult brain, such as vision, speech, and language. Nevertheless, these traditional approaches have

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Crossref · 10.1126/science.291.5504.599

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Metadata

Authors
Weng, J., McClelland, J., Pentland, A., Sporns, O., Stockman, I., Sur, M., & Thelen, E.
Venue
Science
Published
2001-01-26
Volume
291
Issue
5504
Pages
599-600
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1562462135
Cited by
654
References
8
FWCI
19.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Autonomous Mental Development by Robots and Animals. https://app.cochat.ai/papers/10.1126/science.291.5504.599
The paper
Weng, J., McClelland, J., Pentland, A., Sporns, O., Stockman, I., Sur, M., & Thelen, E. (2001). Autonomous Mental Development by Robots and Animals. Science. https://doi.org/10.1126/science.291.5504.599

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.