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Handbook for Evaluating Knowledge-Based Systems

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Produktnummer: 1860bda6fa350e4deea4e6f4f7cb2243a7
Autor: Adelman, Leonard Riedel, Sharon L.
Themengebiete: knowledge knowledge-based system knowledge-based systems knowledge base programming system development verification
Veröffentlichungsdatum: 30.04.1997
EAN: 9780792399063
Sprache: Englisch
Seitenzahl: 392
Produktart: Gebunden
Verlag: Springer US
Untertitel: Conceptual Framework and Compendium of Methods
Produktinformationen "Handbook for Evaluating Knowledge-Based Systems"
Knowledge-based systems are increasingly found in a wide variety of settings and this handbook has been written to meet a specific need in their widening use. While there have been many successful applications of knowledge-based systems, some applications have failed because they never received the corrective feedback that evaluation provides for keeping development focused on the users' needs in their actual working environment. This handbook provides a conceptual framework and compendium of methods for performing evaluations of knowledge-based systems during their development. Its focus is on the users' and subject matter experts' evaluation of the usefulness of the system, and not on the developers' testing of the adequacy of the programming code. The handbook permits evaluators to systematically answer the following kinds of questions: Does the knowledge-based system meet the users' task requirements? Is the system easy to use? Is the knowledge base logically consistent? Does it meet the required level of expertise? Does the system improve performance? The authors have produced a handbook that will serve two audiences: a tool that can be used to create knowledge-based systems (practitioners, developers, and evaluators) and a framework that will stimulate more research in the area (academic researchers and students). To accomplish this, the handbook is built around a conceptual framework that integrates the different types of evaluations into the system of development process. The kinds of questions that can be answered, and the methods available for answering them, will change throughout the system development life cycle. And throughout this process, one needs to know what can be done, and what can't. It is this dichotomy that addresses needs in both the practitioner and academic research audiences.
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