Computational Collective Intelligence

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.

Contents

• 1. Introduction.
• 2. Intelligence - Our Present State of Understanding.
• 3. Toward the Formalization, Modeling, and Measuring of Collective Intelligence.
• 4. Computing a Collective Intelligence Quotient (IQS) for Social Structures of Beings.
• 5. Applications of Collective Intelligence - Toward Collective Intelligence Engineering.
• 6. Conclusions.
• 7. Open Questions and Ideas.
• Bibliography.
• Index.