{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T10:03:21Z","timestamp":1763028201261,"version":"3.45.0"},"reference-count":10,"publisher":"Elsevier","isbn-type":[{"type":"print","value":"9781558602007"}],"license":[{"start":{"date-parts":[[1991,1,1]],"date-time":"1991-01-01T00:00:00Z","timestamp":662688000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[1991,1,1]],"date-time":"1991-01-01T00:00:00Z","timestamp":662688000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1991]]},"DOI":"10.1016\/b978-1-55860-200-7.50029-5","type":"book-chapter","created":{"date-parts":[[2014,6,30]],"date-time":"2014-06-30T06:07:20Z","timestamp":1404108440000},"page":"127-131","source":"Crossref","is-referenced-by-count":1,"title":["Learning Variable Descriptors for Applying Heuristics Across CSP Problems"],"prefix":"10.1016","author":[{"given":"David S.","family":"Day","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib1","series-title":"Implementation of Prolog","first-page":"194","article-title":"Deduction revision by intelligent backtracking","author":"Bruynooghe","year":"1984"},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib2","unstructured":"Rina Dechter. (1986) Learning while searching in constraint-satisfaction problems. In Proceedings of the Fifth National Conference on Artificial Intelligence, pages 178\u2013183. American Association for Artificial Intelligence, Morgan Kaufman."},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib3","unstructured":"Douglas Fisher, Jungsoon Yoo, and Hua Yang. (1990) Case-based and abstraction-based reasoning. In Working Notes, AAAI Spring Symposium on Case-Based Reasoning, Stanford University, Palo Alto, CA."},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib4","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1023\/A:1022852608280","article-title":"Knowledge acquisition via incremental conceptual clustering","volume":"2","author":"Fisher","year":"1987","journal-title":"Machine Learning"},{"issue":"1","key":"10.1016\/B978-1-55860-200-7.50029-5_bib5","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/0004-3702(89)90046-5","article-title":"Models of incremental concept formation","volume":"40","author":"Gennari","year":"1989","journal-title":"Artificial Intelligence"},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib6","unstructured":"M. A. Gluck and J. E. Corter. (1985) Information, uncertainty and the utility of categories. In Proceedings of the Seventh Annual Conference of the Cognitive Science Society. Lawrence Erlbaum Associates."},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib7","unstructured":"R. Levinson. (1985) A Self-organizing retrieval system for graphs. Ph.D. thesis, University of Texas, Austin, Texas."},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib8","unstructured":"Steven Minton, Mark D. Johnston, Andrew B. Philips, and Philip Laird. (1990) Solving large-scale constraint satisfaction and scheduling problems using a heuristic repair method. In Proceedings of the Ninth National Conference on Artificial Intelligence, pages 17\u201324, Boston, Massachusetts."},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib9","doi-asserted-by":"crossref","unstructured":"Jakub Segen. (1990) Graph clustering and model learning by data compression. In Proceedings of the Workshop on Machine Learning, pages 93\u201398.","DOI":"10.1016\/B978-1-55860-141-3.50015-8"},{"key":"10.1016\/B978-1-55860-200-7.50029-5_bib10","doi-asserted-by":"crossref","unstructured":"Kevin Thompson and Pat Langley. (1989) Incremental concept formation with composite objects. In Workshop on Machine Learning, pages 371\u2013374.","DOI":"10.1016\/B978-1-55860-036-2.50094-1"}],"container-title":["Machine Learning Proceedings 1991"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9781558602007500295?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9781558602007500295?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T09:58:36Z","timestamp":1763027916000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9781558602007500295"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1991]]},"ISBN":["9781558602007"],"references-count":10,"URL":"https:\/\/doi.org\/10.1016\/b978-1-55860-200-7.50029-5","relation":{},"subject":[],"published":{"date-parts":[[1991]]}}}