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Computational Collective Intelligence [Kõva köide]

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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.
Preface xi
Acknowledgments xvii
About the Author xix
Introduction
1(10)
Intelligence --- Our Present State of Understanding
11(151)
Intelligence of Individuals
20(42)
Problems with a General and Cohesive Evaluation of Individual Intelligence
22(6)
The Individual Intelligence of Humans
28(1)
Review of Significant Models of Individual Human Intelligence
28(6)
Intelligence Tests for Humans
34(4)
Artificial Intelligence (AI) Considered as a Projection of Human Intelligence into Digital Computers
38(5)
Mapping Human Ways of Solving Problems into Artificial Intelligence Systems
43(6)
Intelligence in Expert Systems
49(5)
Determinism and Nondeterminism in Artificial Intelligence
54(2)
Review of the Individual Intelligence of Animals
56(6)
The Concept of Collective Intelligence (CI)
62(100)
Symptoms of Collective Intelligence in the World of Animals
66(2)
Is a Bacterial Colony Collectively Intelligent?
68(2)
The Collective Intelligence of Social Insects
70(13)
Can Different Types of Intelligence be Compared? The Collective Intelligence in the Relationship between Predator and Prey
83(2)
The Collective Intelligence of Humans
85(1)
Difficulties with the Concept of Human Collective Intelligence-Simon Newell's Objections
86(2)
Review of Existing, Nonformal Computer-Related Approaches to Human Collective Intelligence
88(5)
Real (Conscious) and Virtual (Unconscious) Social Structures
93(3)
What is a Social Structure?
96(30)
Information-Related Behavior of Beings in a Social Structure
126(5)
Structuralization and Communication Problems when a Social Structure Grows
131(11)
Differences Between Abilities of Single Beings and Social Structures (groups)
142(6)
Use of Quasi-Brownian Motions as a Tool for the Description of Social Structure Dynamics
148(14)
Toward the Formalization, Modeling, and Measuring of Collective Intelligence
162(144)
A Formal Definition of Collective Intelligence as a Specific Property of a Social Structure
163(7)
Difficulties with Modeling and Measuring Collective Intelligence due to the Lack of a Proper Model of Computations
170(2)
Are the Concepts of Message-Passing, Agents, and Actors Sufficient for Collective Intelligence?
172(4)
Review of the Major Models of Computation
176(130)
The Deterministic Turing Machine (DTM)
177(2)
Today's Implementation Approach to the DTM
179(3)
The Complexity of Computations with the Deterministic Turing Machine
182(3)
Parallelism in DTM Implementations
185(5)
The Nondeterministic Turing Machine (NDTM)
190(2)
Theoretical Advantages of the NDTM
192(3)
Difficulties with NDTM Implementation
195(2)
A Model of Computations with a Continous Space of States-The Analog Computer
197(5)
Nondeterministic, Molecular Models of Computations with Predicate Calculus as the Basic Tool for Collective Intelligence Modeling and Evaluation
202(1)
A Brief Description of the Concept of PROLOG and its Models of Execution
203(46)
The Random PROLOG Processor (RPP)
249(37)
Review of Computational Models Similar to the RPP in Concept
286(2)
The Chemical Abstract Machine
288(5)
Adleman's DNA Model of Computations
293(13)
Computing a Collective Intelligence Quotient (IQS) for Social Structures of Beings
306(11)
A Formal Definition of a Collective Intelligence Quotient (IQS) and its Properties
307(4)
Typical Mapping of Human Social Structures into RPP Structures for Computing the Collective Intelligence Quotient IQS
311(2)
Computational Difficulties with the IQS
313(4)
Applications of Collective Intelligence-Toward Collective Intelligence Engineering
317(43)
The Computational Model of Collective Intelligence Suggests that Intelligence Emerged First Before Life on Earth
318(9)
Comprehension and Definition of Life
322(1)
Ordering Collective Intelligence and Life
323(4)
Artificial Collective Intelligence with an Evolutionary Design of a Processor Structure for Computer Graphics
327(13)
Data Processing in Computer Graphics
331(3)
Artificial Collective Intelligence
334(1)
An Evolvable System for Computer Graphics Based on Artificial Collective Intelligence
335(3)
Description of Simulation System and Results
338(2)
Can Money (Currency) be Considered as an Element (Discovery) of Human Collective Intelligence?
340(16)
Brief Summary of the Idea and History of Money and Humans
343(3)
Can Money be Considered in Terms of the Random PROLOG Processor?
346(3)
Money-Driven Artificial Collective Intelligence
349(3)
Conclusions on the Function of Money in Collective Intelligence
352(4)
Is it Possible to Evaluate Globally the Collective Intelligence of a Given Nation?
356(4)
Conclusions
360(2)
Open Questions and Ideas
362(4)
Bibliography 366(19)
Selected Internet Locations Useful for Research on Collective Intelligence 385(4)
Index 389


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.