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Inside Case-Based Reasoning

2013-05-13 Psychology
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Release : 2013-05-13
Genre : Psychology
Kind : eBook
Book Rating : 02X/5 ( reviews)

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Book Synopsis Inside Case-Based Reasoning by : Christopher K. Riesbeck

Download or read book Inside Case-Based Reasoning written by Christopher K. Riesbeck. This book was released on 2013-05-13. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Case-Based Reasoning

2014-06-28 Computers
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Release : 2014-06-28
Genre : Computers
Kind : eBook
Book Rating : 498/5 ( reviews)

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Book Synopsis Case-Based Reasoning by : Janet Kolodner

Download or read book Case-Based Reasoning written by Janet Kolodner. This book was released on 2014-06-28. Available in PDF, EPUB and Kindle. Book excerpt: Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions when inferences can't be made. This book presents the state of the art in case-based reasoning. The author synthesizes and analyzes a broad range of approaches, with special emphasis on applying case-based reasoning to complex real-world problem-solving tasks such as medical diagnosis, design, conflict resolution, and planning. The author's approach combines cognitive science and engineering, and is based on analysis of both expert and common-sense tasks. Guidelines for building case-based expert systems are provided, such as how to represent knowledge in cases, how to index cases for accessibility, how to implement retrieval processes for efficiency, and how to adapt old solutions to fit new situations. This book is an excellent text for courses and tutorials on case-based reasoning. It is also a useful resource for computer professionals and cognitive scientists interested in learning more about this fast-growing field.

Inside Case-based Explanation

1994 Computers
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Release : 1994
Genre : Computers
Kind : eBook
Book Rating : 295/5 ( reviews)

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Book Synopsis Inside Case-based Explanation by : Roger C. Schank

Download or read book Inside Case-based Explanation written by Roger C. Schank. This book was released on 1994. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1994. Routledge is an imprint of Taylor & Francis, an informa company.

Case-based Reasoning

1996 Computers
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Release : 1996
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Case-based Reasoning by : David B. Leake

Download or read book Case-based Reasoning written by David B. Leake. This book was released on 1996. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Case-Based Learning

1993-04-30 Computers
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Release : 1993-04-30
Genre : Computers
Kind : eBook
Book Rating : 436/5 ( reviews)

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Book Synopsis Case-Based Learning by : Janet L. Kolodner

Download or read book Case-Based Learning written by Janet L. Kolodner. This book was released on 1993-04-30. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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