Machine science
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Soon, computers could generate many useful hypotheses with little help from humans.
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Several studies have examined the full automation of reverse engineering, from hypothesis generation to experiments and back, termed machine science.
“During the last decade, several studies have been presented which examine the full automation of reverse engineering, from hypothesis generation to experiments and back, in what has been termed machine science [223].”
From Reverse engineering and identification in systems biology: strategies, perspectives and challenges (2014) · cites this paper as [223]
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Cites
Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A.-L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., et al. (2009) · Science · doi:10.1126/science.1167742 · Cited by 3,365 · see citing works
Distilling Free-Form Natural Laws from Experimental Data
Schmidt, M., & Lipson, H. (2009) · Science · doi:10.1126/science.1165893 · Cited by 3,327 · see citing works
Fish Oil, Raynaud's Syndrome, and Undiscovered Public Knowledge
Swanson, D. R. (1986) · Perspectives in biology and medicine · doi:10.1353/pbm.1986.0087 · Cited by 875 · see citing works
Automated reverse engineering of nonlinear dynamical systems
Bongard, J., & Lipson, H. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609476104 · Cited by 792 · see citing works
King, R. D., Rowland, J., Oliver, S. G., Young, M., Aubrey, W., Byrne, E., Liakata, M., Markham, M., Pir, P., Soldatova, L. N., et al. (2009) · Science · doi:10.1126/science.1165620 · Cited by 679 · see citing works
Functional genomic hypothesis generation and experimentation by a robot scientist
King, R. D., Whelan, K. E., Jones, F. M., Reiser, P. G. K., Bryant, C. H., Muggleton, S. H., Kell, D. B., & Oliver, S. G. (2004) · Nature · doi:10.1038/nature02236 · Cited by 662 · see citing works
An interactive system for finding complementary literatures: a stimulus to scientific discovery
Swanson, D. R., & Smalheiser, N. R. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00008-8 · Cited by 471 · see citing works
Association of genes to genetically inherited diseases using data mining
Perez‐Iratxeta, C., Peer Bork, B., & Andrade-Navarro, M. A. (2002) · Nature Genetics · doi:10.1038/ng895 · Cited by 353 · see citing works
Medical literature as a potential source of new knowledge.
Swanson, D. R. (1990) · PubMed · Cited by 231 · see citing works
Internal coarse-graining of molecular systems
Ferêt, J., Vincent Danos, A., Krivine, J., Harmer, R., & Fontana, W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809908106 · Cited by 225 · see citing works
Weeber, M. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1158 · Cited by 184 · see citing works
A Connecticut Yankee in King Arthur's Court
Twain, M., & Beard, D. C. (2008) · Oxford University Press eBooks · doi:10.1093/owc/9780199540587.001.0001 · Cited by 137 · see citing works
Liu, J., Ghanim, M., Xue, L., Brown, C. D., Iossifov, I. H., Angeletti, C., Hua, S., Negre, N. N., Ludwig, M., Stricker, T. P., et al. (2009) · Science · doi:10.1126/science.1157669 · Cited by 125 · see citing works
Self-citationExtending the mutual information measure to rank inferred literature relationships
Wren, J. D. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-145 · Cited by 117 · see citing works
Iossifov, I. H., Zheng, T., Baron, M., Gilliam, T. C., & Rzhetsky, A. (2008) · Genome Research · doi:10.1101/gr.075622.107 · Cited by 70 · see citing works
Self-citationThe Form of Information in Science: Analysis of an Immunology Sublanguage
Ryckman, T. C., & Gottfried, M. (1988) · Medical Entomology and Zoology · Cited by 61 · see citing works
Golub, T. R. (2010) · Nature · doi:10.1038/464679a · Cited by 58 · see citing works
Emergent behavior of growing knowledge about molecular interactions
Cokol, M., Iossifov, I. H., Weinreb, C., & Rzhetsky, A. (2005) · Nature Biotechnology · doi:10.1038/nbt1005-1243 · Cited by 57 · see citing works
Self-citationO’Malley, M. A., Elliott, K. C., Haufe, C., et al. (2009) · Cell · doi:10.1016/j.cell.2009.08.008 · Cited by 53 · see citing works
Automatic policing of biochemical annotations using genomic correlations
Hsiao, T., Revelles, O., Chen, L., et al. (2009) · Nature Chemical Biology · doi:10.1038/nchembio.266 · Cited by 34 · see citing works
Hypothesis Generation in Signaling Networks
Ruths, D. A., Nakhleh, L. K., Iyengar, M. S., et al. (2006) · Journal of Computational Biology · doi:10.1089/cmb.2006.13.1546 · Cited by 26 · see citing works
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Research works printed but not linked: 3
- [5]Perez-Iratxeta C Bork P Andrade MA Nat. Genet 2002 31 316 12006977
- [14]Swanson DR Bull. Med. Libr. Assoc 1990 78 29 2403828 PMC225324
- [17]Cokolr M Nat. Biotechnol 2005 23 1243 16211067
Cited by
Sorted by citations
Reverse engineering and identification in systems biology: strategies, perspectives and challenges
Villaverde, A. F., & Banga, J. R. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0505 · Cited by 229 · see citing works
Scientific Thinking and Reasoning
Dunbar, K. N., & Klahr, D. (2012) · The Oxford Handbook of Thinking and Reasoning · doi:10.1093/oxfordhb/9780199734689.013.0035 · Cited by 173 · see citing works
A Bayesian machine scientist to aid in the solution of challenging scientific problems
Guimerà, R., Reichardt, I., Aguilar-Mogas, A., Massucci, F. A., Miranda, M., Pallarès, J., & Sales-Pardo, M. (2020) · Science Advances · doi:10.1126/sciadv.aav6971 · Cited by 136 · see citing works
- Authors
- Evans, J., & Rzhetsky, A.
- Affiliations
- University of Chicago (US)
- Venue
- Science
- Published
- 2010-07-23
- Volume
- 329
- Issue
- 5990
- Pages
- 399-400
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC3647224
- OpenAlex
- W80906861
- Cited by
- 68
- References
- 21
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 5 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 4 · 2017: 1 · 2016: 5 · 2015: 3 · 2014: 4 · 2013: 11 · 2012: 8
- FWCI
- 8.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5p50mh094267-05)
- National Institute of Mental Health (P50-MH094267)
- National Institute of General Medical Sciences (R01GM061372)
- U.S. National Library of Medicine (R01LM010132)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- automated hypothesis generation, artificial intelligence, scientific discovery, machine learning
- MeSH terms
- Artificial Intelligence, Computers, Concept Formation, Philosophy, Research, Science, Knowledge, Data Mining
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