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Successful Case-based Reasoning Applications

Author : Stefania Montani
Publisher : Springer Science & Business Media
Page : 227 pages
File Size : 40,66 MB
Release : 2010-08-11
Category : Computers
ISBN : 3642140777

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Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.

Successful Case-based Reasoning Applications

Author : Stefania Montani
Publisher :
Page : pages
File Size : 34,23 MB
Release : 2010
Category :
ISBN : 9783642140792

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Case-based reasoning offers tremendous advantages over other AI based techniques in all those fields where experiential knowledge is readily available. This research book presents a sample of successful applications of case-based reasoning. The contributions include: • Introduction to case-based reasoning • Case-based reasoning for medical and industrial support systems • Industrial knowledge management applications • Decision making in small and medium enterprises • Heterogeneity in ontological CBR systems • The adaptation problem in medical case-based reasoning systems • Prototype-based classification in unbalanced biomedical problems • Case-based ranking for environmental risk assessment • Recipe advisor and menu creator The book is directed to the application engineers, scientists, professors and students who wish to develop successful case-based reasoning applications.

Successful Case-based Reasoning Applications

Author : Stefania Montani
Publisher : Springer
Page : 227 pages
File Size : 31,64 MB
Release : 2010-09-07
Category : Technology & Engineering
ISBN : 3642140785

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Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.

Applying Case-Based Reasoning

Author : Ian Watson
Publisher : Morgan Kaufmann
Page : 318 pages
File Size : 37,44 MB
Release : 1997-07
Category : Computers
ISBN :

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This book explains the principles of CBR by describing its origin and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Through case studies and step-by-step examples, this book shows programmers and software managers how to design and implement a reliable, robust CBR system in a real-world environment.

Case-Based Reasoning

Author : Michael M. Richter
Publisher : Springer Science & Business Media
Page : 550 pages
File Size : 25,19 MB
Release : 2013-10-31
Category : Computers
ISBN : 3642401678

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This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.

Successful Case-based Reasoning Applications-2

Author : Stefania Montani
Publisher : Springer
Page : 162 pages
File Size : 24,2 MB
Release : 2013-11-27
Category : Computers
ISBN : 9783642387371

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Case-based reasoning paradigms offer automatic reasoning capabilities which are useful for the implementation of human like machines in a limited sense. This research book is the second volume in a series devoted to presenting Case-based reasoning (CBR) applications. The first volume, published in 2010, testified the flexibility of CBR, and its applicability in all those fields where experiential knowledge is available. This second volume further witnesses the heterogeneity of the domains in which CBR can be exploited, but also reveals some common directions that are clearly emerging in recent years. This book will prove useful to the application engineers, scientists, professors and students who wish to develop successful case-based reasoning applications.

Successful Case-based Reasoning Applications-2

Author : Stefania Montani
Publisher : Springer
Page : 166 pages
File Size : 49,38 MB
Release : 2013-09-03
Category : Technology & Engineering
ISBN : 3642387365

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Case-based reasoning paradigms offer automatic reasoning capabilities which are useful for the implementation of human like machines in a limited sense. This research book is the second volume in a series devoted to presenting Case-based reasoning (CBR) applications. The first volume, published in 2010, testified the flexibility of CBR, and its applicability in all those fields where experiential knowledge is available. This second volume further witnesses the heterogeneity of the domains in which CBR can be exploited, but also reveals some common directions that are clearly emerging in recent years. This book will prove useful to the application engineers, scientists, professors and students who wish to develop successful case-based reasoning applications.

Developing Industrial Case-Based Reasoning Applications

Author : Ralph Bergmann
Publisher : Springer Science & Business Media
Page : 247 pages
File Size : 22,27 MB
Release : 2003-12-09
Category : Computers
ISBN : 3540207376

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In just few years, case-based reasoning has evolved from a research topic studied at a small number of specialized academic labs into an industrial-strength technology applied in various fields. The INRECA methodology presented in detail in this monograph provides a data analysis framework for developing case-based reasoning solutions for successful applications in real-world industrial contexts. The book is divided into parts on: - smarter business with case-based decision support; - developing case-based applications using the INRECA methodology; and - using the methodology in various application domains. The book provides a self-contained introduction to case-based reasoning applications that address both R&D professionals and general IT managers interested in this powerful new technology. In this second edition, improvements and updates have been incorporated throughout the text. Particularly useful is the systematic coverage of experience factory applications at various steps; and, of course, the references have been extended substantially.

Developing Industrial Case-Based Reasoning Applications

Author : Ralph Bergmann
Publisher : Springer
Page : 247 pages
File Size : 17,19 MB
Release : 2003-12-22
Category : Computers
ISBN : 3540409947

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In just few years, case-based reasoning has evolved from a research topic studied at a small number of specialized academic labs into an industrial-strength technology applied in various fields. The INRECA methodology presented in detail in this monograph provides a data analysis framework for developing case-based reasoning solutions for successful applications in real-world industrial contexts. The book is divided into parts on: - smarter business with case-based decision support; - developing case-based applications using the INRECA methodology; and - using the methodology in various application domains. The book provides a self-contained introduction to case-based reasoning applications that address both R&D professionals and general IT managers interested in this powerful new technology. In this second edition, improvements and updates have been incorporated throughout the text. Particularly useful is the systematic coverage of experience factory applications at various steps; and, of course, the references have been extended substantially.

Issues and Applications of Case-Based Reasoning to Design

Author : Mary Lou Maher
Publisher : Psychology Press
Page : 382 pages
File Size : 24,5 MB
Release : 2014-02-25
Category : Psychology
ISBN : 1317778901

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Design is believed to be one of the most interesting and challenging problem-solving activities ever facing artificial intelligence (AI) researchers. Knowledge-based systems using rule-based and model-based reasoning techniques have been applied to build design automation and/or design decision support systems. Although such systems have met with some success, difficulties have been encountered in terms of formalizing such generalized design experiences as rules, logic, and domain models. Recently, researchers have been exploring the idea of using case-based reasoning (CBR) techniques to complement or replace other approaches to design support. CBR can be considered as an alternative to paradigms such as rule-based and model-based reasoning. Rule-based expert systems capture knowledge in the form of if-then rules which are usually identified by a domain expert. Model-based reasoning aims at formulating knowledge in the form of principles to cover the various aspects of a problem domain. These principles, which are more general than if-then rules, comprise a model which an expert system may use to solve problems. Model-based reasoning (MBR) is sometimes called reasoning from first principles. Instead of generalizing knowledge into rules or models, CBR is an experience-based method. Thus, specific cases, corresponding to prior problem-solving experiences, comprise the main knowledge sources in a CBR system. This volume includes a collection of chapters that describe specific projects in which case-based reasoning is the focus for the representation and reasoning in a particular design domain. The chapters provide a broad spectrum of applications and issues in applying and extending the concept of CBR to design. Each chapter provides its own introduction to CBR concepts and principles.