Computational Collective Intelligence

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Computational Collective Intelligence

Tadeusz M. Szuba
Computational Collective Intelligence Book PDF

Author : Tadeusz M. Szuba
Publisher : Wiley-Interscience
Page : 432 pages
File Size : 51,8 Mb
Release : 2001-03-07
Category : Computers
ISBN : UOM:39015050757239

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Computational Collective Intelligence by Tadeusz M. Szuba Pdf

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.

Advanced Methods for Computational Collective Intelligence

Ngoc Thanh Nguyen,Bogdan Trawiński,Radosław Katarzyniak,Geun-Sik Jo
Advanced Methods for Computational Collective Intelligence Book PDF

Author : Ngoc Thanh Nguyen,Bogdan Trawiński,Radosław Katarzyniak,Geun-Sik Jo
Publisher : Springer
Page : 378 pages
File Size : 52,7 Mb
Release : 2012-10-13
Category : Technology & Engineering
ISBN : 9783642343001

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Advanced Methods for Computational Collective Intelligence by Ngoc Thanh Nguyen,Bogdan Trawiński,Radosław Katarzyniak,Geun-Sik Jo Pdf

The book consists of 35 extended chapters which have been selected and invited from the submissions to the 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012) held on November 28-30, 2012 in Ho Chi Minh City, Vietnam. The book is organized into six parts, which are semantic web and ontologies, social networks and e-learning, agent and multiagent systems, data mining methods and applications, soft computing, and optimization and control, respectively. All chapters in the book discuss theoretical and practical issues connected with computational collective intelligence and related technologies. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants in courses on Soft Computing, Multiagent Systems, and Data Mining. This book can be also useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases of intelligent collectives. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book. The editors hope that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.

New Trends in Computational Collective Intelligence

David Camacho,Sang-Wook Kim,Bogdan Trawiński
New Trends in Computational Collective Intelligence Book PDF

Author : David Camacho,Sang-Wook Kim,Bogdan Trawiński
Publisher : Springer
Page : 213 pages
File Size : 44,8 Mb
Release : 2014-09-10
Category : Technology & Engineering
ISBN : 9783319107745

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New Trends in Computational Collective Intelligence by David Camacho,Sang-Wook Kim,Bogdan Trawiński Pdf

This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and PhD students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.

Computational Collective Intelligence

Ngoc Thanh Nguyen,Bao Hung Hoang,Cong Phap Huynh,Dosam Hwang,Bogdan Trawiński,Gottfried Vossen
Computational Collective Intelligence Book PDF

Author : Ngoc Thanh Nguyen,Bao Hung Hoang,Cong Phap Huynh,Dosam Hwang,Bogdan Trawiński,Gottfried Vossen
Publisher : Springer Nature
Page : 908 pages
File Size : 47,9 Mb
Release : 2020-11-23
Category : Computers
ISBN : 9783030630072

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Computational Collective Intelligence by Ngoc Thanh Nguyen,Bao Hung Hoang,Cong Phap Huynh,Dosam Hwang,Bogdan Trawiński,Gottfried Vossen Pdf

This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic.

Computational Collective Intelligence

Ngoc-Thanh Nguyen,Lazaros Iliadis,Yannis Manolopoulos,Bogdan Trawiński
Computational Collective Intelligence Book PDF

Author : Ngoc-Thanh Nguyen,Lazaros Iliadis,Yannis Manolopoulos,Bogdan Trawiński
Publisher : Springer
Page : 602 pages
File Size : 49,8 Mb
Release : 2016-09-19
Category : Computers
ISBN : 9783319452432

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Computational Collective Intelligence by Ngoc-Thanh Nguyen,Lazaros Iliadis,Yannis Manolopoulos,Bogdan Trawiński Pdf

This two-volume set (LNAI 9875 and LNAI 9876) constitutes the refereed proceedings of the 8th International Conference on Collective Intelligence, ICCCI 2016, held in Halkidiki, Greece, in September 2016. The 108 full papers presented were carefully reviewed and selected from 277 submissions. The aim of this conference is to provide an internationally respected forum for scientific research in the computer-based methods of collective intelligence and their applications in (but not limited to) such fields as group decision making, consensus computing, knowledge integration, semantic web, social networks and multi-agent systems.

Computational Collective Intelligence

Ngoc Thanh Nguyen,Richard Chbeir,Ernesto Exposito,Philippe Aniorté,Bogdan Trawiński
Computational Collective Intelligence Book PDF

Author : Ngoc Thanh Nguyen,Richard Chbeir,Ernesto Exposito,Philippe Aniorté,Bogdan Trawiński
Publisher : Springer Nature
Page : 716 pages
File Size : 50,5 Mb
Release : 2019-08-28
Category : Computers
ISBN : 9783030283773

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Computational Collective Intelligence by Ngoc Thanh Nguyen,Richard Chbeir,Ernesto Exposito,Philippe Aniorté,Bogdan Trawiński Pdf

This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented were carefully reviewed and selected from 204 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; text processing and information retrieval; data mining methods and applications; computer vision techniques; decision support and control systems; cooperative strategies for decision making and optimization; intelligent modeling and simulation approaches for real world systems; and innovations in intelligent systems.

New Challenges in Computational Collective Intelligence

Radoslaw Katarzyniak,Adam Janiak
New Challenges in Computational Collective Intelligence Book PDF

Author : Radoslaw Katarzyniak,Adam Janiak
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 48,6 Mb
Release : 2009-08-27
Category : Computers
ISBN : 9783642039577

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New Challenges in Computational Collective Intelligence by Radoslaw Katarzyniak,Adam Janiak Pdf

Collective intelligence has become one of major research issues studied by today’s and future computer science. Computational collective intelligence is understood as this form of group intellectual activity that emerges from collaboration and compe- tion of many artificial individuals. Robotics, artificial intelligence, artificial cognition and group working try to create efficient models for collective intelligence in which it emerges from sets of actions carried out by more or less intelligent individuals. The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration. Obviously, the application of multiple computational technologies such as fuzzy systems, evo- tionary computation, neural systems, consensus theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semantic web treated as an advanced tool that increases the collective intelligence in networking environments. The second one covers social networks modeling and analysis, where social networks are this area of in which various forms of computational collective intelligence emerges in a natural way. The third subfield relates us to agent and mul- agent systems understood as this computational and modeling paradigm which is especially tailored to capture the nature of computational collective intelligence in populations of autonomous individuals.

Computational Collective Intelligence

Manuel Núñez,Ngoc Thanh Nguyen,David Camacho,Bogdan Trawiński
Computational Collective Intelligence Book PDF

Author : Manuel Núñez,Ngoc Thanh Nguyen,David Camacho,Bogdan Trawiński
Publisher : Unknown
Page : 128 pages
File Size : 53,7 Mb
Release : 2015
Category : Electronic
ISBN : 3319240706

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Computational Collective Intelligence by Manuel Núñez,Ngoc Thanh Nguyen,David Camacho,Bogdan Trawiński Pdf

This two-volume set (LNAI 9329 and LNAI 9330) constitutes the refereed proceedings of the 7th International Conference on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015. The 110 full papers presented were carefully reviewed and selected from 186 submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational intelligence and games; ontologies and information extraction; formal methods and simulation; neural networks, SMT and MIS; collective intelligence in Web systems - Web systems analysis; computational swarm intelligence; cooperative strategies for decision making and optimization; advanced networking and security technologies; IT in biomedicine; collective computational intelligence in educational context; science intelligence and data analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.

Handbook of Collective Intelligence

Thomas W. Malone,Michael S. Bernstein
Handbook of Collective Intelligence Book PDF

Author : Thomas W. Malone,Michael S. Bernstein
Publisher : MIT Press
Page : 230 pages
File Size : 49,7 Mb
Release : 2015-11-13
Category : Business & Economics
ISBN : 9780262331470

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Handbook of Collective Intelligence by Thomas W. Malone,Michael S. Bernstein Pdf

Experts describe the latest research in a rapidly growing multidisciplinary field, the study of groups of individuals acting collectively in ways that seem intelligent. Intelligence does not arise only in individual brains; it also arises in groups of individuals. This is collective intelligence: groups of individuals acting collectively in ways that seem intelligent. In recent years, a new kind of collective intelligence has emerged: interconnected groups of people and computers, collectively doing intelligent things. Today these groups are engaged in tasks that range from writing software to predicting the results of presidential elections. This volume reports on the latest research in the study of collective intelligence, laying out a shared set of research challenges from a variety of disciplinary and methodological perspectives. Taken together, these essays—by leading researchers from such fields as computer science, biology, economics, and psychology—lay the foundation for a new multidisciplinary field. Each essay describes the work on collective intelligence in a particular discipline—for example, economics and the study of markets; biology and research on emergent behavior in ant colonies; human-computer interaction and artificial intelligence; and cognitive psychology and the “wisdom of crowds” effect. Other areas in social science covered include social psychology, organizational theory, law, and communications. Contributors Eytan Adar, Ishani Aggarwal, Yochai Benkler, Michael S. Bernstein, Jeffrey P. Bigham, Jonathan Bragg, Deborah M. Gordon, Benjamin Mako Hill, Christopher H. Lin, Andrew W. Lo, Thomas W. Malone, Mausam, Brent Miller, Aaron Shaw, Mark Steyvers, Daniel S. Weld, Anita Williams Woolley

Programming Collective Intelligence

Toby Segaran
Programming Collective Intelligence Book PDF

Author : Toby Segaran
Publisher : "O'Reilly Media, Inc."
Page : 361 pages
File Size : 53,6 Mb
Release : 2007-08-16
Category : Computers
ISBN : 9780596550684

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Programming Collective Intelligence by Toby Segaran Pdf

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

Recent Developments in Computational Collective Intelligence

Amelia Badica,Bogdan Trawinski,Ngoc Thanh Nguyen
Recent Developments in Computational Collective Intelligence Book PDF

Author : Amelia Badica,Bogdan Trawinski,Ngoc Thanh Nguyen
Publisher : Springer
Page : 207 pages
File Size : 55,5 Mb
Release : 2013-08-13
Category : Technology & Engineering
ISBN : 9783319017877

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Recent Developments in Computational Collective Intelligence by Amelia Badica,Bogdan Trawinski,Ngoc Thanh Nguyen Pdf

The book consists of 19 extended and revised chapters based on original works presented during a poster session organized within the 5th International Conference on Computational Collective Intelligence that was held between 11 and 13 of September 2013 in Craiova, Romania. The book is divided into three parts. The first part is titled “Agents and Multi-Agent Systems” and consists of 8 chapters that concentrate on many problems related to agent and multi-agent systems, including: formal models, agent autonomy, emergent properties, agent programming, agent-based simulation and planning. The second part of the book is titled “Intelligent Computational Methods” and consists of 6 chapters. The authors present applications of various intelligent computational methods like neural networks, mathematical optimization and multistage decision processes in areas like cooperation, character recognition, wireless networks, transport, and metal structures. The third part of the book is titled “Language and Knowledge Processing Systems”, and consists of 5 papers devoted to processing methods for knowledge and language information in various applications, including: language identification, corpus comparison, opinion classification, group decision making, and rule bases.

Fundamentals of Computational Intelligence

James M. Keller,Derong Liu,David B. Fogel
Fundamentals of Computational Intelligence Book PDF

Author : James M. Keller,Derong Liu,David B. Fogel
Publisher : John Wiley & Sons
Page : 378 pages
File Size : 46,6 Mb
Release : 2016-07-13
Category : Technology & Engineering
ISBN : 9781119214366

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Fundamentals of Computational Intelligence by James M. Keller,Derong Liu,David B. Fogel Pdf

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

Big Mind

Geoff Mulgan
Big Mind Book PDF

Author : Geoff Mulgan
Publisher : Princeton University Press
Page : 288 pages
File Size : 51,7 Mb
Release : 2019-11-12
Category : Business & Economics
ISBN : 9780691196169

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Big Mind by Geoff Mulgan Pdf

"A new field of collective intelligence has emerged in the last few years, prompted by a wave of digital technologies that make it possible for organizations and societies to think at large scale. This "bigger mind"--human and machine capabilities working together--has the potential to solve the great challenges of our time. So why do smart technologies not automatically lead to smart results? Gathering insights from diverse fields, including philosophy, computer science, and biology, Big Mind reveals how collective intelligence can guide corporations, governments, universities, and societies to make the most of human brains and digital technologies"--Amazon.com.

Computational Collective Intelligence

Ngoc Thanh Nguyen,George A. Papadopoulos,Piotr Jędrzejowicz,Bogdan Trawiński,Gottfried Vossen
Computational Collective Intelligence Book PDF

Author : Ngoc Thanh Nguyen,George A. Papadopoulos,Piotr Jędrzejowicz,Bogdan Trawiński,Gottfried Vossen
Publisher : Springer
Page : 0 pages
File Size : 51,6 Mb
Release : 2017-09-07
Category : Computers
ISBN : 3319670735

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Computational Collective Intelligence by Ngoc Thanh Nguyen,George A. Papadopoulos,Piotr Jędrzejowicz,Bogdan Trawiński,Gottfried Vossen Pdf

This two-volume set (LNAI 10448 and LNAI 10449) constitutes the refereed proceedings of the 9th International Conference on Collective Intelligence, ICCCI 2017, held in Nicosia, Cyprus, in September 2017. The 117 full papers presented were carefully reviewed and selected from 248 submissions. The conference focuseson the methodology and applications of computational collective intelligence, included: multi-agent systems, knowledge engineering and semantic web, social networks and recommender systems, text processing and information retrieval, data mining methods and applications, sensor networks and internet of things, decision support & control systems, and computer vision techniques.

Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems

Ryszard Kowalczyk
Computational Collective Intelligence Semantic Web Social Networks and Multiagent Systems Book PDF

Author : Ryszard Kowalczyk
Publisher : Springer Science & Business Media
Page : 876 pages
File Size : 40,8 Mb
Release : 2009-09-23
Category : Computers
ISBN : 9783642044403

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Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems by Ryszard Kowalczyk Pdf

Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.