Inductive programming (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Inductive programming" in English language version.

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16doi.org

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10semanticscholar.org

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4psu.edu

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1uniba.it

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1miyazaki-u.ac.jp

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aaai.org

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Muggleton, S. (2000). "Learning stochastic logic programs" (PDF). Electron. Trans. Artif. Intell. 4(B): 141–153. Archived from the original (PDF) on 2017-09-07. Retrieved 2017-09-07.

anu.edu.au

users.cecs.anu.edu.au

Lloyd, J.W. (2001). "Knowledge Representation, Computation, and Learning in Higher-order Logic" (PDF). {{cite journal}}: Cite journal requires |journal= (help)

arxiv.org

Irvin, H.; Stuhlmuller, A.; Goodman, N.D. (2011). "Inducing probabilistic programs by Bayesian program merging". arXiv:1110.5667 [cs.AI].

atlantis-press.com

download.atlantis-press.com

Crossley, N.; Kitzelmann, E.; Hofmann, M.; Schmid, U. (2009). "Combining analytical and evolutionary inductive programming" (PDF). Proceedings of the Second Conference on Artificial General Intelligence: 19–24.

books.google.com

Koza, J.R. (1992). Genetic Programming: vol. 1, On the programming of computers by means of natural selection. MIT Press. ISBN 9780262111706.
Lloyd, J.W. (2003). Logic for learning: learning comprehensible theories from structured data. Springer. ISBN 9783662084069.
Lieberman, H. (2001). Your wish is my command: Programming by example. Morgan Kaufmann. ISBN 9781558606883.
Cypher, E.; Halbert, D.C. (1993). Watch what I do: programming by demonstration. MIT Press. ISBN 9780262032131.

doi.org

Rich, C.; Waters, R.C. (1993). Yovits, M.C. (ed.). Approaches to automatic programming (PDF). Advances in Computers. Vol. 37. pp. 1–57. doi:10.1016/S0065-2458(08)60402-7. ISBN 9780120121373.
Manna, Z.; Waldinger, R. (1992). "Fundamentals of deductive program synthesis". IEEE Trans Softw Eng. 18 (8): 674–704. CiteSeerX 10.1.1.51.817. doi:10.1109/32.153379.
Flener, P. (2002). "Achievements and Prospects of Program Synthesis". In Kakas, A.; Sadri, F. (eds.). Computational Logic: Logic Programming and Beyond; Essays in Honour of Robert A. Kowalski. Lecture Notes in Computer Science. Vol. LNAI 2407. pp. 310–346. doi:10.1007/3-540-45628-7_13. ISBN 978-3-540-43959-2.
Summers, P.D. (1977). "A methodology for LISP program construction from examples". J ACM. 24 (1): 161–175. doi:10.1145/321992.322002. S2CID 7474210.
Biermann, A.W. (1978). "The inference of regular LISP programs from examples". IEEE Trans Syst Man Cybern. 8 (8): 585–600. doi:10.1109/tsmc.1978.4310035. S2CID 15277948.
Muggleton, S. (1991). "Inductive logic programming". New Generation Computing. 8 (4): 295–318. CiteSeerX 10.1.1.329.5312. doi:10.1007/BF03037089. S2CID 5462416.
Flener, P.; Yilmaz, S. (1999). "Inductive synthesis of recursive logic programs: Achievements and prospects". The Journal of Logic Programming. 41 (2): 141–195. doi:10.1016/s0743-1066(99)00028-x.
Olsson, J.R. (1995). "Inductive functional programming using incremental program transformation". Artificial Intelligence. 74 (1): 55–83. doi:10.1016/0004-3702(94)00042-y.
Katayama, Susumu (2008). "Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening" (PDF). PRICAI 2008: Trends in Artificial Intelligence. Lecture Notes in Computer Science. Vol. 5351. pp. 199–210. CiteSeerX 10.1.1.606.1447. doi:10.1007/978-3-540-89197-0_21. ISBN 978-3-540-89196-3.
Angluin, D.; C.H., Smith (1983). "Inductive inference: Theory and methods". ACM Computing Surveys. 15 (3): 237–269. doi:10.1145/356914.356918. S2CID 3209224.
Gold, E.M. (1967). "Language identification in the limit". Information and Control. 10 (5): 447–474. doi:10.1016/s0019-9958(67)91165-5.
Muggleton, Stephen (1999). "Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic". Artificial Intelligence. 114 (1–2): 283–296. doi:10.1016/s0004-3702(99)00067-3.; here: Sect.2.1
Estruch, V.; Ferri, C.; Hernandez-Orallo, J.; Ramirez-Quintana, M.J. (2014). "Bridging the gap between distance and generalization". Computational Intelligence. 30 (3): 473–513. doi:10.1111/coin.12004. S2CID 7255690.
Stuhlmuller, A.; Goodman, N.D. (2012). "Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs". Cognitive Systems Research. 28: 80–99. doi:10.1016/j.cogsys.2013.07.003. S2CID 7602205.
Hernandez-Orallo, J. (2000). "Constructive reinforcement learning". International Journal of Intelligent Systems. 15 (3): 241–264. CiteSeerX 10.1.1.34.8877. doi:10.1002/(sici)1098-111x(200003)15:3<241::aid-int6>3.0.co;2-z. S2CID 123390956.
Schmid, U.; Kitzelmann, E. (2011). "Inductive rule learning on the knowledge level". Cognitive Systems Research. 12 (3): 237–248. doi:10.1016/j.cogsys.2010.12.002. S2CID 18613664.

ed.ac.uk

homepages.inf.ed.ac.uk

Plotkin, Gordon D. (1970). Meltzer, B.; Michie, D. (eds.). "A Note on Inductive Generalization" (PDF). Machine Intelligence. 5: 153–163.

ic.ac.uk

ilp11.doc.ic.ac.uk

Henderson, R.J.; Muggleton, S.H. (2012). "Automatic invention of functional abstractions" (PDF). Advances in Inductive Logic Programming.

merl.com

Rich, C.; Waters, R.C. (1993). Yovits, M.C. (ed.). Approaches to automatic programming (PDF). Advances in Computers. Vol. 37. pp. 1–57. doi:10.1016/S0065-2458(08)60402-7. ISBN 9780120121373.

miyazaki-u.ac.jp

nautilus.cs.miyazaki-u.ac.jp

Katayama, Susumu (2008). "Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening" (PDF). PRICAI 2008: Trends in Artificial Intelligence. Lecture Notes in Computer Science. Vol. 5351. pp. 199–210. CiteSeerX 10.1.1.606.1447. doi:10.1007/978-3-540-89197-0_21. ISBN 978-3-540-89196-3.

nips.cc

papers.nips.cc

Kemp, C.; Goodman, N.; Tenenbaum, J.B. (2007). "Learning and using relational theories" (PDF). Advances in Neural Information Processing Systems: 753–760.

psu.edu

citeseerx.ist.psu.edu

Manna, Z.; Waldinger, R. (1992). "Fundamentals of deductive program synthesis". IEEE Trans Softw Eng. 18 (8): 674–704. CiteSeerX 10.1.1.51.817. doi:10.1109/32.153379.
Muggleton, S. (1991). "Inductive logic programming". New Generation Computing. 8 (4): 295–318. CiteSeerX 10.1.1.329.5312. doi:10.1007/BF03037089. S2CID 5462416.
Katayama, Susumu (2008). "Efficient Exhaustive Generation of Functional Programs Using Monte-Carlo Search with Iterative Deepening" (PDF). PRICAI 2008: Trends in Artificial Intelligence. Lecture Notes in Computer Science. Vol. 5351. pp. 199–210. CiteSeerX 10.1.1.606.1447. doi:10.1007/978-3-540-89197-0_21. ISBN 978-3-540-89196-3.
Hernandez-Orallo, J. (2000). "Constructive reinforcement learning". International Journal of Intelligent Systems. 15 (3): 241–264. CiteSeerX 10.1.1.34.8877. doi:10.1002/(sici)1098-111x(200003)15:3<241::aid-int6>3.0.co;2-z. S2CID 123390956.

researchgate.net

Smith, D.R. (1984). Biermann, A.W.; Guiho, G. (eds.). "The synthesis of LISP programs from examples: a survey". Automatic Program Construction Techniques: 307–324.

semanticscholar.org

api.semanticscholar.org

Summers, P.D. (1977). "A methodology for LISP program construction from examples". J ACM. 24 (1): 161–175. doi:10.1145/321992.322002. S2CID 7474210.
Biermann, A.W. (1978). "The inference of regular LISP programs from examples". IEEE Trans Syst Man Cybern. 8 (8): 585–600. doi:10.1109/tsmc.1978.4310035. S2CID 15277948.
Muggleton, S. (1991). "Inductive logic programming". New Generation Computing. 8 (4): 295–318. CiteSeerX 10.1.1.329.5312. doi:10.1007/BF03037089. S2CID 5462416.
Muggleton, S.H.; Feng, C. (1990). "Efficient induction of logic programs". Proceedings of the Workshop on Algorithmic Learning Theory. 6: 368–381. S2CID 14992676.
Quinlan, J.R.; Cameron-Jones, R.M. (1993). "Avoiding Pitfalls When Learning Recursive Theories". IJCAI: 1050–1057. S2CID 11138624.
Angluin, D.; C.H., Smith (1983). "Inductive inference: Theory and methods". ACM Computing Surveys. 15 (3): 237–269. doi:10.1145/356914.356918. S2CID 3209224.
Estruch, V.; Ferri, C.; Hernandez-Orallo, J.; Ramirez-Quintana, M.J. (2014). "Bridging the gap between distance and generalization". Computational Intelligence. 30 (3): 473–513. doi:10.1111/coin.12004. S2CID 7255690.
Stuhlmuller, A.; Goodman, N.D. (2012). "Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs". Cognitive Systems Research. 28: 80–99. doi:10.1016/j.cogsys.2013.07.003. S2CID 7602205.
Hernandez-Orallo, J. (2000). "Constructive reinforcement learning". International Journal of Intelligent Systems. 15 (3): 241–264. CiteSeerX 10.1.1.34.8877. doi:10.1002/(sici)1098-111x(200003)15:3<241::aid-int6>3.0.co;2-z. S2CID 123390956.
Schmid, U.; Kitzelmann, E. (2011). "Inductive rule learning on the knowledge level". Cognitive Systems Research. 12 (3): 237–248. doi:10.1016/j.cogsys.2010.12.002. S2CID 18613664.

uni-bamberg.de

cogsys.wiai.uni-bamberg.de

Schmid, U.; Hofmann, M.; Kitzelmann, E. (2009). "Analytical inductive programming as a cognitive rule acquisition devise" (PDF). Proceedings of the Second Conference on Artificial General Intelligence: 162–167.

uniba.it

dottorato.di.uniba.it

Quinlan, J.R.; Cameron-Jones, R.M. (1995). "Induction of logic programs: FOIL and related systems" (PDF). 13 (3–4). Springer: 287–312. Archived from the original (PDF) on 2017-09-07. Retrieved 2017-09-07. {{cite journal}}: Cite journal requires |journal= (help)

web.archive.org

Quinlan, J.R.; Cameron-Jones, R.M. (1995). "Induction of logic programs: FOIL and related systems" (PDF). 13 (3–4). Springer: 287–312. Archived from the original (PDF) on 2017-09-07. Retrieved 2017-09-07. {{cite journal}}: Cite journal requires |journal= (help)
Muggleton, S. (2000). "Learning stochastic logic programs" (PDF). Electron. Trans. Artif. Intell. 4(B): 141–153. Archived from the original (PDF) on 2017-09-07. Retrieved 2017-09-07.