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
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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Cites
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Kuhn, T. S., & Schlegel, R. (1963) · Physics Today · doi:10.1063/1.3050879 · Cited by 35,538
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Kuhn, T. S. (1996) · doi:10.7208/chicago/9780226458106.001.0001 · Cited by 7,281
Rethinking Innateness: A Connectionist Perspective on Development
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Rethinking innateness: A connectionist perspective on development
Raijmakers, M. E. J. (1997) · Acta Psychologica · doi:10.1016/s0001-6918(97)00029-2 · Cited by 1,002
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Visual behaviour mediated by retinal projections directed to the auditory pathway
von Melchner, L., Pallas, S. L., & Sur, M. (2000) · Nature · doi:10.1038/35009102 · Cited by 370
Self-citationAlmássy, N., Edelman, G. M., & Sporns, O. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.4.346 · Cited by 132
Self-citationMakioka, S. (1999) · ENGLISH LINGUISTICS · Cited by 59
Cited by
Intrinsic Motivation Systems for Autonomous Mental Development
Oudeyer, P.-Y., Kaplan, F., & Hafner, V. V. (2007) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2006.890271 · Cited by 1,126
Information-seeking, curiosity, and attention: computational and neural mechanisms
Gottlieb, J., Oudeyer, P.-Y., Lopes, M., & Baranes, A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.001 · Cited by 784
Developmental robotics: a survey
Lungarella, M., Metta, G., Pfeifer, R., & Sandini, G. (2003) · Connection Science · doi:10.1080/09540090310001655110 · Cited by 624
Cognitive Developmental Robotics: A Survey
Asada, M., Hosoda, K., Kuniyoshi, Y., Ishiguro, H., Inui, T., Yoshikawa, Y., Ogino, M., & Yoshida, C. (2009) · IEEE Transactions on Autonomous Mental Development · doi:10.1109/tamd.2009.2021702 · Cited by 554
The Triboelectric Nanogenerator as an Innovative Technology toward Intelligent Sports
Luo, J., Gao, W., & Wang, Z. L. (2021) · Advanced Materials · doi:10.1002/adma.202004178 · Cited by 537
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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- 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
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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.