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This book presents a practical view of the knowledge acquisition process, its methodologies and techniques, in order to enable readers to develop expert systems knowledge bases more effectively. It strikes a balance between presenting (1) summaries of research in the field of knowledge acquisition and (2) methodologies and techniques that have been applied and tested on numerous programs in various contexts. Written for novice knowledge engineers or others tasked with acquiring knowledge for the systematic development of expert systems. The presentation of the material does not presume a background in either computer science or artificial intelligence.
A comprehensive view of knowledge acquisition in civil engineering, reflecting both recent theoretical developments in computer science as well as the practical experience gained by civil engineers building expert systems in the past few years. Includes a ten-page annotated bibliography. Annotation copyright Book News, Inc. Portland, Or.
Developing today's complex systems requires more than just good software engineering solutions. Many are faced with complex systems projects, incomplete or inaccurate requirements, canceled projects, or cost overruns, and have their systems' users in revolt and demanding more. Others want to build user-centric systems, but fear managing the process. This book describes an approach that brings the engineering process together with human performance engineering and business process reengineering. The result is a manageable user-centered process for gathering, analyzing, and evaluating requirements that can vastly improve the success rate in the development of medium-to-large size systems and a...
A review of AI topics divided into four main sections representing current issues. The readings stress application of knowledge acquisition research and theory, aiming to reflect the processes of acquiring and structuring knowledge of knowledge-based and expert systems.