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Author: Antoine Henry Publisher: John Wiley & Sons ISBN: 1119808316 Category : Technology & Engineering Languages : en Pages : 176
Book Description
Organizations, both private and public, are now evolving in a globalized "information society" that has been accelerated by digitization. They find themselves drawn into a spiral of transformations fueled by the incessant reinvention of information and communication technologies (ICT) that are changing digital uses and practices. They transform through the mediating action of ICTs, work activities and associated action situations. Platform and Collective Intelligence analyzes a specific declination of an organization that has become irreversibly reticular: the "platform organization". The network, at the heart of this new conception, proposes a model combining cybernetics and computing. The organization can thus be seen as an interface for contact, via its information systems, for employees or citizens, whatever their geographical location. With a view going beyond technocentrism and technological determinism, this book combines collective intelligence and sociotechnics with the platform to arrive at the notion of "organizational experience".
Author: Antoine Henry Publisher: John Wiley & Sons ISBN: 1119808316 Category : Technology & Engineering Languages : en Pages : 176
Book Description
Organizations, both private and public, are now evolving in a globalized "information society" that has been accelerated by digitization. They find themselves drawn into a spiral of transformations fueled by the incessant reinvention of information and communication technologies (ICT) that are changing digital uses and practices. They transform through the mediating action of ICTs, work activities and associated action situations. Platform and Collective Intelligence analyzes a specific declination of an organization that has become irreversibly reticular: the "platform organization". The network, at the heart of this new conception, proposes a model combining cybernetics and computing. The organization can thus be seen as an interface for contact, via its information systems, for employees or citizens, whatever their geographical location. With a view going beyond technocentrism and technological determinism, this book combines collective intelligence and sociotechnics with the platform to arrive at the notion of "organizational experience".
Author: Satnam Alag Publisher: Simon and Schuster ISBN: 163835538X Category : Computers Languages : en Pages : 609
Book Description
There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet users can be like listening to a mob. In the Web 2.0 era, leveraging the collective power of user contributions, interactions, and feedback is the key to market dominance. A new category of powerful programming techniques lets you discover the patterns, inter-relationships, and individual profiles-the collective intelligence--locked in the data people leave behind as they surf websites, post blogs, and interact with other users. Collective Intelligence in Action is a hands-on guidebook for implementing collective intelligence concepts using Java. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches. This book is for Java developers implementing Collective Intelligence in real, high-use applications. Following a running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications. The code examples are immediately reusable and give the Java developer a working collective intelligence toolkit. Along the way, you work with, a number of APIs and open-source toolkits including text analysis and search using Lucene, web-crawling using Nutch, and applying machine learning algorithms using WEKA and the Java Data Mining (JDM) standard. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
Author: Thomas W. Malone Publisher: MIT Press ISBN: 0262331470 Category : Business & Economics Languages : en Pages : 230
Book Description
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
Author: Stephen Boucher Publisher: Taylor & Francis ISBN: 1000846784 Category : Political Science Languages : en Pages : 678
Book Description
The Routledge Handbook of Collective Intelligence for Democracy and Governance explores the concepts, methodologies, and implications of collective intelligence for democratic governance, in the first comprehensive survey of this field. Illustrated by a collection of inspiring case studies and edited by three pioneers in collective intelligence, this handbook serves as a unique primer on the science of collective intelligence applied to public challenges and will inspire public actors, academics, students, and activists across the world to apply collective intelligence in policymaking and administration to explore its potential, both to foster policy innovations and reinvent democracy. The Routledge Handbook of Collective Intelligence for Democracy and Governance is essential reading and an authoritative reference for scholars, students, researchers and practitioners of public policy, public administration, governance, public management, information technology and systems, innovation and democracy as well as more broadly for political science, psychology, management studies, public organizations and individual policy practitioners, public authorities, civil society activists and service providers.
Author: Management Association, Information Resources Publisher: IGI Global ISBN: 1522583637 Category : Business & Economics Languages : en Pages : 1677
Book Description
With the growth of information technology, many new communication channels and platforms have emerged. This growth has advanced the work of crowdsourcing, allowing individuals and companies in various industries to coordinate efforts on different levels and in different areas. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing: Concepts, Methodologies, Tools, and Applications is a collection of innovative research on the methods and applications of crowdsourcing in business operations and management, science, healthcare, education, and politics. Highlighting a range of topics such as crowd computing, macrotasking, and observational crowdsourcing, this multi-volume book is ideally designed for business executives, professionals, policymakers, academicians, and researchers interested in all aspects of crowdsourcing.
Author: Ngoc Thanh Nguyen Publisher: Springer Nature ISBN: 3030283771 Category : Computers Languages : en Pages : 716
Book Description
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.
Author: Toby Segaran Publisher: "O'Reilly Media, Inc." ISBN: 0596550685 Category : Computers Languages : en Pages : 361
Book Description
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
Author: Chun HO WU Publisher: Elsevier ISBN: 0128202750 Category : Political Science Languages : en Pages : 248
Book Description
Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the book focuses on the role of IoT cloud computing and big data, specifically in smart city development. Users will find a unique, overarching perspective that ties together these concepts based on collective intelligence, a concept for quantifying mass activity familiar to many social science and life science researchers.Sections explore how group decision-making emerges from the consensus of the collective, collaborative and competitive activities of many individuals, along with future perspectives. Provides collective intelligence-based solutions to enhance smart city well-being Recommends strategies to ensure smart city sustainability and optimization, including smart transportation Considers cloud-based data processing approaches for managing data collected from smart city applications Uses case studies to shows successful application in a variety of smart city contexts
Author: Antoine Henry
Author: Antoine Henry
Author: Satnam Alag
Author: Thomas W. Malone
Author: Stephen Boucher
Author: Management Association, Information Resources
Author: Ngoc Thanh Nguyen
Author: Toby Segaran
Author: Rafał Olszowski
Author: Rolf K. Baltzersen
Author: Chun HO WU