Knowledge Processing and Applied Artificial Intelligence
Published on 16. May 2014
368 pages
978-1-4831-8392-3 (ISBN)
Description
Knowledge Processing and Applied Artificial Intelligence discusses the business potential of knowledge processing and examines the aspects of applied artificial intelligence technology. The book is comprised of nine chapters that are organized into five parts. The text first covers knowledge processing and applied artificial intelligence, and then proceeds to tackling the techniques for acquiring, representing, and reasoning with knowledge. The next part deals with the process of creating and implementing strategically advantageous knowledge-based system applications. The fourth part covers intelligent interfaces, while the last part details alternative approaches to knowledge processing. The book will be of great use to students and professionals of computer or business related disciplines.
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Soumitra Dutta
Knowledge Processing and Applied Artificial Intelligence
Book
08/1993
Butterworth-Heinemann
€37.13
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Person
Soumitra Dutta is the eleventh dean and professor of management and organizations in the Samuel Curtis Johnson Graduate School of Management at Cornell University. He most recently served as the Roland Berger Chaired Professor of Business and Technology. Dutta is an authority on the impact of new technology on the business world, especially social media and social networking, and on strategies for driving growth and innovation by embracing the digital economy. He is the co-editor and author respectively of two influential reports in technology and innovation -- the Global Information Technology Report (co-published with the World Economic Forum) and the Global Innovation Index (to be co-published with the World Intellectual Property Organization). Both reports have been used by several governments around the world in assessing and planning their technology and innovation policies.
Content
Preface Acknowledgments List Of Abbreviations Part II Chapter 1 - Knowledge Processing and Applied Artificial Intelligence The Evolution of Computing in Business The Rise of Knowledge Processing The Origins of Knowledge Processing Philosophy Mathematics Computing The Development of the Field of Artificial Intelligence A Shift in Focus The Evolving Sub-Fields Governmental Funding The Nature of Intelligence Applied Artificial Intelligence Knowledge Processing and Applied Artificial Intelligence The Commercialization of Applied Artificial Intelligence Consolidation and Growth The Commercial Market Moving From Data Processing to Knowledge Processing Structure and Organization of Book Summary Bibliography and Suggested Readings NotesPart II - Acquiring, Representing, and Reasoning with Knowledge Chapter 2 - Knowledge-Based Systems and the Acquisition of Knowledge Digital Equipment Corporation American Express Campbell Soup Structure of Knowledge-Based Systems The Process of Building Knowledge-Based Systems Expert Systems and Knowledge-Based Systems Epistemology and Knowledge-Based Systems The Definition of Knowledge The Computer Configuration Problem The Dimensions of Knowledge Stages of Knowledge Knowledge in a Knowledge-Based System Knowledge Acquisition Knowledge Engineer-Guided Knowledge Acquisition Planning the Knowledge Acquisition Process Automated Tools for Knowledge Acquisition Induction Steps after Knowledge Acquisition Summary Bibliography and Suggested Readings Notes Chapter 3 - Representing and Reasoning with Knowledge Knowledge Representation Using Rules Complex Rules and Structured Rule-Based Systems Inference Procedures in Rule-Based Systems Forward Chaining Backward Chaining A Comparison of Backward and Forward Chaining Meta-Knowledge in Rule-Based Reasoning Rule-Based Reasoning Under Uncertainty Prolog: A Simple Rule-Based System The Inference Procedure of Prolog Benefits And Limitations of Rule-Based Reasoning Networked Representations of Knowledge Semantic Networks Frame Hierarchies Structure of Objects Behaviors of Objects Communication Between Objects Comparing Frame Hierarchies and Rules Alternative Approaches to Knowledge Representation Blackboard Systems Case-Based Reasoning Summary Bibliography and Suggested Readings Notes Part III - Implementing Strategic Knowledge Processing Applications Chapter 4 - Creating Knowledge-Based Systems Creating Rule-Based Systems Problem Description Problem Decomposition Initial Prototype Incremental Evolution Customization Structured Rule-Based Systems Creating Hybrid Knowledge-Based Systems Problem Description Frame Hierarchy Identification Structure and Behavior Identification Prototyping and Incremental Evolution Customization Customizing the User Interface Interfaces to Databases Tools for Building Knowledge-Based Systems Types of Shell Tools Hardware Platforms for Shell Tools Guidelines For The Selection of Shell Tools Commercial Market for Knowledge-Based Products The Database and Knowledge-Based Product Markets Summary Bibliography and Suggested Readings Notes
