{"product_id":"9781441951465","title":"Concept Formation and Knowledge Revision","description":"\u003ch1\u003eConcept Formation and Knowledge Revision\u003c\/h1\u003e \u003ch2\u003eWrobel, Stefan\u003c\/h2\u003e \u003cp\u003eA fundamental assumption of work in artificial intelligence and  machine learning is that knowledge is expressed in a computer with the  help of knowledge representations. Since the proper choice of such  representations is a difficult task that fundamentally affects the  capabilities of a system, the problem of automatic  \u003cem\u003erepresentation\u003c\/em\u003e \u003cem\u003echange\u003c\/em\u003e is an important topic in current  research.  \u003cem\u003eConcept Formation\u003c\/em\u003e \u003cem\u003eand Knowledge Revision\u003c\/em\u003e  focuses on representation change as a \u003cem\u003econcept\u003c\/em\u003e \u003cem\u003eformation\u003c\/em\u003e  task, regarding concepts as the elementary representational vocabulary  from which further statements are constructed.\u003cbr\u003e  Taking an interdisciplinary approach from psychological foundations to  computer implementations, the book draws on existing psychological  results about the nature of human concepts and concept formation to  determine the scope of concept formation phenomena, and to identify  potential components of computational concept formation models. The  central idea of this work is that computational concept formation can  usefully be understood as a process that is triggered in a  demand-driven fashion by the representational needs of the learning  system, and identify the \u003cem\u003eknowledge revision\u003c\/em\u003e activities of a  system as a particular context for such a process. \u003cbr\u003e  The book presents a detailed analysis of the revision problem for  first-order clausal theories, and develops a set of postulates that  any such operation should satisfy. It shows how a minimum theory  revision operator can be realized by using exception sets, and that  this operator is indeed maximally general. The book then shows that  concept formation can be triggered from within the knowledge revision  process whenever the existing representation does not permit the  plausible reformulation of an exception set, demonstrating the  usefulness of the approach both theoretically and empirically within  the learning knowledge acquisition system MOBAL. \u003cbr\u003e  In using a first-order representation, this book is part of the  rapidly developing field of Inductive Logic Programming (ILP). By  integrating the computational issues with psychological and  fundamental discussions of concept formation phenomena, the book will  be of interest to readers both theoretically and psychologically  inclined. \u003cbr\u003e  \u003cbr\u003e  From the foreword by Katharina Morik:\u003cbr\u003e  \u003cbr\u003e  \u003cstrong\u003e`\u003c\/strong\u003e The ideal to combine the three sources of artificial  intelligence research has almost never been reached. Such a combined  and integrated research requires the researcher to master different  ways of thinking, different work styles, different sets of literature,  and different research procedures. It requires capabilities in  software engineering for the application part, in theoretical computer  science for the theory part, and in psychology for the cognitive part.  The most important capability for artificial intelligence is to keep  the integrative viewand to create a true original work that goes  beyond the collection of pieces from different fields. \u003cbr\u003e  This book achieves such an integrative view of concept formation and  knowledge revision by presenting the way\u003c\/p\u003e\u003cul\u003e \u003cli\u003efrom  psychological investigations that indicate that concepts are theories  and point at the important role of a demand for learning. \u003c\/li\u003e  \u003cli\u003eto an  implemented system which supports users in their tasks when working  with a knowledge base \u003c\/li\u003e  \u003cli\u003eand its theoretical foundation.  \u003cstrong\u003e'\u003c\/strong\u003e\n\u003c\/li\u003e  \u003c\/ul\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2010-11-19\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781441951465\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4757-2317-5\u003c\/p\u003e \u003cp\u003eDimensions: 240cm x160cm\u003c\/p\u003e \u003cp\u003ePages: 240\u003c\/p\u003e ","brand":"Springer","offers":[{"title":"Default Title","offer_id":44398721040524,"sku":"9781441951465","price":153.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781441951465.jpg?v=1755442250","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781441951465","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}