Handbook for Evaluating Knowledge-Based Systems: Conceptual Framework and Compendium of Methods
โ Scribed by Leonard Adelman, Sharon L. Riedel (auth.)
- Publisher
- Springer US
- Year
- 1997
- Tongue
- English
- Leaves
- 401
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter....Pages i-xix
Introduction....Pages 1-15
Overview: Development Models, Evaluation Dimensions, and Evaluation Models....Pages 17-62
Framework for Evaluating Knowledge-Based Systems....Pages 63-92
Requirements Validation....Pages 93-148
Knowledge Base Validation....Pages 149-203
Knowledge Base Verification....Pages 205-230
Usability Evaluation....Pages 231-267
Performance Evaluation....Pages 269-305
Planning and Managing Knowledge-Based System Evaluations....Pages 307-339
Back Matter....Pages 341-392
โฆ Subjects
Artificial Intelligence (incl. Robotics); Operation Research/Decision Theory
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