Discovering Dynamics

Saso Dzeroski, Ljupco Todorovski

Abstract: Machine discovery is concerned with the task of finding laws from experimental and/or observational data. Existing machine discovery systems have mostly generated laws describing static situations. The paper presents LAGRANGE, a system that constructs a set of differential and/or algebraic equations that describe an observed behavior of a dynamic system. As such, LAGRANGE extends the scope of machine discovery to dynamic systems. We show that LAGRANGE is able to generate appropriate sets of laws for several nonlinear dynamic systems from traces of their behavior. Previous chapter in book Next chapter in book Recommended articles Citing articles (0) Copyright © 1993 Morgan Kaufmann Publishers, Inc. Published by Elsevier Inc. All rights reserved. Recommended articles No articles found. Citing articles (0) Article Metrics Citations Citation Indexes: 18 View details Elsevier About ScienceDirect Remote access Shopping cart Advertise Contact and support Terms and conditions Privacy policy We use cookies to help provide and enhance our service and tailor content and ads. By continuing you agree to the use of cookies . Copyright © 2020 Elsevier B.V. or its licensors or contributors. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. {"abstracts":{"content":[{"$$":[{"$":{"id":"cesectitle1"},"#name":"section-title","_":"Abstract"},{"$$":[{"$":{"view":"all","id":"spara1"},"#name":"simple-para","_":"Machine discovery is concerned with the task of finding laws from experimental and/or observational data. Existing machine discovery systems have mostly generated laws describing static situations. The paper presents LAGRANGE, a system that constructs a set of differential and/or algebraic equations that describe an observed behavior of a dynamic system. As such, LAGRANGE extends the scope of machine discovery to dynamic systems. We show that LAGRANGE is able to generate appropriate sets of laws for several nonlinear dynamic systems from traces of their behavior."}],"$":{"view":"all","id":"abssec1"},"#name":"abstract-sec"}],"$":{"xmlns:ce":true,"view":"all","id":"abs1","class":"author"},"#name":"abstract"}],"floats":[],"footnotes":[],"attachments":[]},"accessOptions":{},"adobeTarget":{"variation":"control"},"article":{"publication-content":{"publicationCity":"San Francisco (CA)","publisherName":"Morgan Kaufmann","coverImageUrl":"https://ars.els-cdn.com/content/image/Dmorgank.gif","transactionsBlocked":"false","coverThumbnailUrl":"3-s2.0-B9781558603073-cov150h.gif","specialCoverImage":"3-s2.0-C20090277981-cov150h.gif","sourceOpenAccess":false,"publicationCoverImageUrl":"https://ars.els-cdn.com/content/image/3-s2.0-C20090277981-cov150h.gif"},"pii":"B9781558603073500198","dates":{"Available online":"27 June 2014","Revised":[],"Publication date":"1 January 1993"},"access":{"openArchive":false,"openAccess":false},"crawlerInformation":{"canCrawlPDFContent":false,"isCrawler":false},"document-references":19,"accessOptions":{"accessHeader":{"parameters":[],"key":"access_header_no_remote_access"},"outwardLinksSection":{"linkingHubUrl":"https://linkinghub.elsevier.com/retrieve/pii/B9781558603073500198?showall