{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T12:52:53Z","timestamp":1657111973922},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1990,6]]},"abstract":"<jats:p> This research seeks to .incorporate machine learning capabilities within a general-purpose frame-based architecture. We describe CHUNKER, an explanation-based chunking mechanism built on top of THEO, a software framework to support development of self-modifying problem solving systems. CHUNKER forms rules that improve problem solving efficiency, by generalizing and compressing the chains of inference which THEO produces during problem solving. After presenting the learning algorithm used by CHUNKER, we illustrate its application to learning search control knowledge, discuss its relationship to THEO\u2019s other three learning mechanisms, and consider the relationship between architectural features of THEO and the effectiveness of CHUNKER. <\/jats:p>","DOI":"10.1142\/s0218001490000101","type":"journal-article","created":{"date-parts":[[2004,11,29]],"date-time":"2004-11-29T02:14:37Z","timestamp":1101694477000},"page":"125-145","source":"Crossref","is-referenced-by-count":2,"title":["EMBEDDING LEARNING IN A GENERAL FRAME-BASED ARCHITECTURE"],"prefix":"10.1142","volume":"04","author":[{"given":"TOSHIKAZU","family":"TANAKA","sequence":"first","affiliation":[{"name":"Systems and Software Engineering Laboratory,  Toshiba Corporation, 70 Yanagicho, Saiwaiku, Kawasaki, Kanagawa 210, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"TOM M.","family":"MITCHELL","sequence":"additional","affiliation":[{"name":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001490000101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T02:14:49Z","timestamp":1565144089000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001490000101"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1990,6]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1990,6]]}},"alternative-id":["10.1142\/S0218001490000101"],"URL":"https:\/\/doi.org\/10.1142\/s0218001490000101","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1990,6]]}}}