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Case Based Reasoning

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Case based Reasoning

Case based Reasoning Book
Author : Janet L. Kolodner
Publisher : Morgan Kaufmann
Release : 1988
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Case based Reasoning book written by Janet L. Kolodner, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Case Based Reasoning

Case Based Reasoning Book
Author : Michael M. Richter,Rosina O. Weber
Publisher : Springer Science & Business Media
Release : 2013-10-31
ISBN : 3642401678
Language : En, Es, Fr & De

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Book Description :

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.

Case Based Learning

Case Based Learning Book
Author : Janet L. Kolodner
Publisher : Springer Science & Business Media
Release : 1993-04-30
ISBN : 9780792393436
Language : En, Es, Fr & De

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Book Description :

Case-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. 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 indexing problem. 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: assigning 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 at recall time, elaborating the new situation in enough detail so that the indexes it would have if it were in the memory are identified. Case-Based Learning is an edited volume of original research comprising invited contributions by leading workers. This work has also been published as a special issues of MACHINE LEARNING, Volume 10, No. 3.

Case based Reasoning

Case based Reasoning Book
Author : David B. Leake
Publisher : Aaai Press
Release : 1996
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

It also presents lessons learned about how to design CBR systems and how to apply them to real-world problems. The final chapters include a perspective on the state of the field and the most important directions for future impact.

Inside Case Based Reasoning

Inside Case Based Reasoning Book
Author : Christopher K. Riesbeck,Roger C. Schank
Publisher : Psychology Press
Release : 2013-05-13
ISBN : 1134930097
Language : En, Es, Fr & De

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Book Description :

Introducing issues in dynamic memory and case-based reasoning, this comprehensive volume presents extended descriptions of four major programming efforts conducted at Yale during the past several years. Each descriptive chapter is followed by a companion chapter containing the micro program version of the information. The authors emphasize that the only true way to learn and understand any AI program is to program it yourself. To this end, the book develops a deeper and richer understanding of the content through LISP programming instructions that allow the running, modification, and extension of the micro programs developed by the authors.

Inside Case Based Explanation

Inside Case Based Explanation Book
Author : Roger C. Schank,Alex Kass,Christopher K. Riesbeck
Publisher : Psychology Press
Release : 2014-02-24
ISBN : 1317782690
Language : En, Es, Fr & De

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Book Description :

This book is the third volume in a series that provides a hands-on perspective on the evolving theories associated with Roger Schank and his students. The primary focus of this volume is on constructing explanations. All of the chapters relate to the problem of building computer programs that can develop hypotheses about what might have caused an observed event. Because most researchers in natural language processing don't really want to work on inference, memory, and learning issues, most of their sample text fragments are chosen carefully to de-emphasize the need for non text-related reasoning. The ability to come up with hypotheses about what is really going on in a story is a hallmark of human intelligence. The biggest difference between truly intelligent readers and less intelligent ones is the extent to which the reader can go beyond merely understanding the explicit statements being communicated. Achieving a creative level of understanding means developing hypotheses about questions for which there may be no conclusively correct answer at all. The focus of the lab, during the period documented in this book, was to work on getting a computer program to do that. The volume adopts a case-based approach to the construction of explanations which suggests that the main steps in the process of explaining a given anomaly are as follows: * Retrieve an explanation that might be relevant to the anomaly. * Evaluate whether the retrieved explanation makes sense when applied to the current anomaly. * Adapt the explanation to produce a new variant that fits better if the retrieved explanation doesn't fit the anomaly perfectly.

Case Based Reasoning in Design

Case Based Reasoning in Design Book
Author : Mary Lou Maher,M. Bala Balachandran,Dong Mei Zhang
Publisher : Psychology Press
Release : 2014-02-25
ISBN : 1317779754
Language : En, Es, Fr & De

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Book Description :

Case-based reasoning in design is becoming an important approach to computer-support for design as well as an important component in understanding the design process. Design has become a major focus for problem solving paradigms due to its complexity and open-ended nature. This book presents a clear description of how case-based reasoning can be applied to design problems, including the representation of design cases, indexing and retrieving design cases, and the range of paradigms for adapting design cases. With a focus on design, this book differs from others that provide a generalist view of case-based reasoning. This volume provides two important contributions to the area: * a general description of the issues and alternatives in applying case-based reasoning to design, and * a description of specific implementations of case-based design. Through this combination, the reader will learn about both the general issues and the practical problems in supporting design through case-based reasoning. This book was prepared to fill a gap in the literature on the unique problems that design introduces to computational paradigms developed in computer science. It also addresses the needs of computational support for design problem solving from both theoretical and practical perspectives.

Case Based Approximate Reasoning

Case Based Approximate Reasoning Book
Author : Eyke Hüllermeier
Publisher : Springer Science & Business Media
Release : 2007-03-20
ISBN : 1402056958
Language : En, Es, Fr & De

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Book Description :

Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR.

Soft Computing in Case Based Reasoning

Soft Computing in Case Based Reasoning Book
Author : Sankar Kumar Pal,Tharam S. Dillon,Daniel S. Yeung
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1447106873
Language : En, Es, Fr & De

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Book Description :

This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.

Case based Reasoning

Case based Reasoning Book
Author : Beatriz Lopez
Publisher : Morgan & Claypool Publishers
Release : 2013
ISBN : 1627050078
Language : En, Es, Fr & De

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Book Description :

Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the designing of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage future students to solve current CBR challenges.

Case Based Reasoning Research and Development

Case Based Reasoning Research and Development Book
Author : Belén Díaz Agudo,Ian Watson
Publisher : Springer
Release : 2013-11-13
ISBN : 3642329861
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Conference on Case-Based Reasoning Research and Development (ICCBR 2012) held in Lyon, France, September 3-6, 2012. The 34 revised full papers presented were carefully selected from 51 submissions. The presentations and posters covered a wide range of CBR topics of interest to both practitioners and researchers, including foundational issues covering case representation, similarity, retrieval, and adaptation; conversational CBR recommender systems; multi-agent collaborative systems; data mining; time series analysis; Web applications; knowledge management; legal reasoning; healthcare systems and planning and scheduling systems.

Artificial Intelligence

Artificial Intelligence Book
Author : David L. Poole,Alan K. Mackworth
Publisher : Cambridge University Press
Release : 2017-09-25
ISBN : 110719539X
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Principles and Practice of Case based Clinical Reasoning Education

Principles and Practice of Case based Clinical Reasoning Education Book
Author : Olle ten Cate,Eugène J.F.M. Custers,Steven J. Durning
Publisher : Springer
Release : 2017-11-06
ISBN : 3319648284
Language : En, Es, Fr & De

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Book Description :

This book is open access under a CC BY 4.0 license. This volume describes and explains the educational method of Case-Based Clinical Reasoning (CBCR) used successfully in medical schools to prepare students to think like doctors before they enter the clinical arena and become engaged in patient care. Although this approach poses the paradoxical problem of a lack of clinical experience that is so essential for building proficiency in clinical reasoning, CBCR is built on the premise that solving clinical problems involves the ability to reason about disease processes. This requires knowledge of anatomy and the working and pathology of organ systems, as well as the ability to regard patient problems as patterns and compare them with instances of illness scripts of patients the clinician has seen in the past and stored in memory. CBCR stimulates the development of early, rudimentary illness scripts through elaboration and systematic discussion of the courses of action from the initial presentation of the patient to the final steps of clinical management. The book combines general backgrounds of clinical reasoning education and assessment with a detailed elaboration of the CBCR method for application in any medical curriculum, either as a mandatory or as an elective course. It consists of three parts: a general introduction to clinical reasoning education, application of the CBCR method, and cases that can used by educators to try out this method.

Applying Case Based Reasoning

Applying Case Based Reasoning Book
Author : Ian Watson
Publisher : Morgan Kaufmann
Release : 1997-07-15
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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.

Foundations of Soft Case Based Reasoning

Foundations of Soft Case Based Reasoning Book
Author : Sankar K. Pal,Simon C. K. Shiu
Publisher : John Wiley & Sons
Release : 2004-07-01
ISBN : 0471644668
Language : En, Es, Fr & De

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Book Description :

Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.

Similarity and Categorization

Similarity and Categorization Book
Author : Ulrike Hahn,Michael Ramscar
Publisher : Oxford University Press on Demand
Release : 2001
ISBN : 9780198506287
Language : En, Es, Fr & De

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Book Description :

Concepts allow us to treat different objects equivalently according to shared attributes, and hence to communicate about, draw inferences from, reason with, and explain these objects. Understanding how concepts are formed and used is thus essential to understanding and applying these basic processes, and the topic of similarity-based classification is central to psychology, artificial intelligence, statistics, and philosophy. This book brings together leading researchers, reflecting the key topics and important developments in the field and provides a uniquely interdisciplinary overview of the subject.

Case Based Reasoning Technology

Case Based Reasoning Technology Book
Author : Mario Lenz,Brigitte Bartsch-Spörl,Hans-Dieter Burkhard,Stefan Wess
Publisher : Springer
Release : 2003-05-20
ISBN : 3540693513
Language : En, Es, Fr & De

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Book Description :

This state-of-the-art survey presents a coherent summary of research and development in case-based reasoning (CBR) undertaken in Germany in recent years. The book opens with a general introduction to CBR presenting the basic ideas and concepts, setting the terminology, and looking at CBR from some new points of view. The main part of the book, consisting of nine chapters, is devoted to detailed presentations of CBR applications successfully performed in various areas. Among these application areas are decision and sales support, text processing, adaptation, planning, design, software engineering, tutoring systems, and medicine. The remaining chapters present areas related to CBR as well as a glossary, a subject index and bibliography.

Case Based Reasoning Research and Development

Case Based Reasoning Research and Development Book
Author : Ashwin Ram,Nirmalie Wiratunga
Publisher : Springer Science & Business Media
Release : 2011-08-30
ISBN : 3642232906
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 19th International Conference on Case-Based Reasoning, held in London, UK, in September 2011. The 32 contributions presented together with 3 invited talks were carefully reviewd and selected from 67 submissions. The presentations and posters covered a wide range of CBR topics of interest both to practitioners and researchers, including CBR methodology covering case representation, similarity, retrieval, and adaptation; provenance and maintenance; recommender systems; multi-agent collaborative systems; data mining; time series analysis; Web applications; knowledge management; legal reasoning; healthcare systems and planning systems.

Managing Software Engineering Knowledge

Managing Software Engineering Knowledge Book
Author : Aybüke Aurum,Ross Jeffery,Claes Wohlin,Meliha Handzic
Publisher : Springer Science & Business Media
Release : 2013-04-17
ISBN : 366205129X
Language : En, Es, Fr & De

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Book Description :

Software development is a complex problem-solving activity with a high level of uncertainty. There are many technical challenges concerning scheduling, cost estimation, reliability, performance, etc, which are further aggravated by weaknesses such as changing requirements, team dynamics, and high staff turnover. Thus the management of knowledge and experience is a key means of systematic software development and process improvement. "Managing Software Engineering Knowledge" illustrates several theoretical examples of this vision and solutions applied to industrial practice. It is structured in four parts addressing the motives for knowledge management, the concepts and models used in knowledge management for software engineering, their application to software engineering, and practical guidelines for managing software engineering knowledge. This book provides a comprehensive overview of the state of the art and best practice in knowledge management applied to software engineering. While researchers and graduate students will benefit from the interdisciplinary approach leading to basic frameworks and methodologies, professional software developers and project managers will also profit from industrial experience reports and practical guidelines.