{"product_id":"9780792393436","title":"Case-Based Learning","description":"\u003ch1\u003eCase-Based Learning\u003c\/h1\u003e \u003ch2\u003eKolodner, Janet L.\u003c\/h2\u003e \u003cp\u003eCase-based reasoning means reasoning based on remembering  previous experiences. A reasoner using old experiences (cases) might  use those cases to suggest solutions to problems, to point out  potential problems with a solution being computed, to interpret a new  situation and make predictions about what might happen, or to create  arguments justifying some conclusion. A case-based reasoner solves new  problems by remembering old situations and adapting their solutions.  It interprets new situations by remembering old similar situations and  comparing and contrasting the new one to old ones to see where it fits  best. Case-based reasoning combines reasoning with learning. It spans  the whole reasoning cycle. A situation is experienced. Old situations  are used to understand it. Old situations are used to solve a problem  (if there is one to be solved). Then the new situation is inserted  into memory alongside the cases it used for reasoning, to be used  another time.\u003cbr\u003e  The key to this reasoning method, then, is remembering. Remembering  has two parts: integrating cases or experiences into memory when they  happen and recalling them in appropriate situations later on. The  case-based reasoning community calls this related set of issues the  \u003cem\u003ei\u003c\/em\u003e\u003cem\u003endexing problem\u003c\/em\u003e. In broad terms, it means finding in  memory the experience closest to a new situation. In narrower terms,  it can be described as a two-part problem: \u003c\/p\u003e\u003cul\u003e  \u003cli\u003eassigning indexes or labels to experiences when they are put  into memory that describe the situations to which they are applicable,  so that they can be recalled later; and  \u003c\/li\u003e  \u003cli\u003eat recall time,  elaborating the new situation in enough detail so that the indexes it  would have if it were in the memory are identified. \u003c\/li\u003e  \u003c\/ul\u003e  \u003cem\u003eCase-Based Learning\u003c\/em\u003e is an edited volume of original research  comprising invited contributions by leading workers. This work has  also been published as a special issues of \u003cem\u003eMACHINE LEARNING\u003c\/em\u003e,  Volume 10, No. 3. \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1993-04-30\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792393436\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4615-3228-6\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 171\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":44398678966412,"sku":"9780792393436","price":197.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792393436.jpg?v=1771523538","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780792393436","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}