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Other titles in the Wiley Series on Parallel and Distributed Computing series:
Computational Collective Intelligence (Wiley Series on Parallel and Distributed Computing)by Tadeusz Szuba
Synopses & Reviews
Introducing a groundbreaking approach to understanding, measuring, and applying Collective Intelligence
Does Collective Intelligence (CI) exist and, if so, how can it be characterized, quantified, and harnessed? Questions such as these continue to be hotly debated within both the scientific and philosophical communities. Yet few researchers working in the fields of artificial intelligence or distributed computing doubt CI's enormous potential value to the future of computing. Unfortunately, for lack of a rigorous, formal theory of Collective Intelligence, most attempts to analyze CI systems have been disappointing, at best. In Computational Collective Intelligence, Professor Tadeusz Szuba does much to rectify that situation by developing, for the first time, both a formal definition of CI and practical guidelines for its assessment and applications.
Working from the ground up, Dr. Szuba begins with a stimulating and insightful discussion of the types of intelligence-including individual, artificial, and collective-into which he brings ideas from AI, information theory, and distributed computing, as well as psychology, sociology, animal behavior, cognitive science, and other relevant disciplines. He tackles the problem of computational models for simulating and measuring CI. He explores all theoretically feasible models of CI computations and presents a groundbreaking, nondeterministic approach using the Random PROLOG Processor (RPP) as a CI modeling and evaluation tool. He then introduces the Collective Intelligence Quotient (IQS) and develops clear-cut guidelines for measuring it. In the final chapters, he lays the foundation for a dynamic new discipline, Collective Intelligence Engineering (CIE), and considers its potential applications as an organizational restructuring tool.
Book News Annotation:
Develops a formal definition of collective intelligence (CI) and practical guidelines for its assessment and applications. Szuba (Kuwait University) begins with a discussion of the types of intelligence into which he brings ideas from AI, information theory, and distributed computing. He then explores theoretically feasible models of CI computations, and presents a nondeterministic approach using the random PROLOG processor as a CI modeling and evaluation tool. The concept of the collective intelligence quotient is introduced, and guidelines for measuring it are developed. The last chapter lays the foundation for collective intelligence engineering, and considers its potential applications as an organizational restructuring tool.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
This volume presents for the first time a complete theory of collective intelligence, helping to explain this growing area of non-deterministic computing. The author brings together ideas from different areas, making this a useful resource not only for computer scientists, but also for researchers working on problems in machine learning and artificial intelligence. Random PROLOG Processor (RPP) is used to illustrate the theory.
Includes bibliographical references (p. 366-384) and index.
About the Author
Tadeusz M. Szuba, PhD, is a professor in the Department of Mathematics and Computer Science in the College of Science of Kuwait University. A prolific author, he has published widely in the areas of PROLOG programming for AI, robotic intelligence, man-machine interaction, and consciousness.
Table of Contents
About the Author.
Intelligence--Our Present State of Understanding.
Toward the Formalization, Modeling, and Measuring of Collective Intelligence.
Computing a Collective Intelligence Quotient (IQS) for Social Structures of Beings.
Applications of Collective Intelligence--Toward Collective Intelligence Engineering.
Open Questions and Ideas.
Selected Internet Locations Useful for Research on Collective Intelligence.
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