Platform and Collective Intelligence

The digitalization of archives produces a huge mass of structured documents (Big Data). Due to the proactive approach of public institutions (libraries, archives, administrations …), this data is more and more accessible. This book aims to present and analyze concrete examples of collective intelligence at the service of digital archives.

This book analyses the development of Collective Intelligence by a better knowledge of the diversity of the temperaments and behavioural and relational processes. The purpose is to help the reader become a better Collective Intelligence Leader, who will be able to capitalize on the specificities and the differences of the individuals present in its collective, and transform these differences into complementarities, which are a source of wealth.

For the last 50 years, the power of integrated circuits has continued to grow. However, this performance will end up reaching its physical limit. What new ways will then be available to develop even more powerful and up-to-date systems? This book introduces the principles of quantic computing, the use of nano-tubes in molecular transistors and ADN computing. It suggests new fabrication methods for the 21st century and introduces new architecture models, ranging from the most conventional to the most radical. Using a chronological theme, it explains our unavoidable entry in the nano-device world: from the 1948 transistor to the microchip. It concludes by anticipating the changes in daily living: investments, impact on coding activities, nanocomputing systems implementation and IT job mutation.

This book focuses on ambient intelligence and addresses various issues related to data management, networking and HCI in this context. Taking a holistic view, it covers various levels of abstraction, ranging from fundamental to advanced concepts and brings together the contributions of various specialists in the field. Moreover, the book covers the key areas of computer science concerned with the emergence of ambient intelligence (e.g. interaction, middleware, networks, information systems, etc.). It even goes slightly beyond the borders of computer science with contributions related to smart materials and ethics. The authors cover a broad spectrum, with some chapters dedicated to the presentation of basic concepts and others focusing on emerging applications in various fields such as health, transport and tourism.

The classic text–now updated with a new interpretive approach to the WAIS?-III Assessing Adolescent and Adult Intelligence, the classic text from Alan Kaufman and Elizabeth Lichtenberger, has consistently provided the most comprehensive source of information on cognitive assessment of adults and adolescents. The newly updated Third Edition provides important enhancements and additions that highlight the latest research and interpretive methods for the WAIS?-III. Augmenting the traditional «sequential» and «simultaneous» WAIS?-III interpretive methods, the authors present a new approach derived from Cattell-Horn-Carroll (CHC) theory. This approach combines normative assessment (performance relative to age peers) with ipsative assessment (performance relative to the person's own mean level). Following Flanagan and Kaufman's work to develop a similar CHC approach for the WISC?-IV, Kaufman and Lichtenberger have applied this system to the WAIS?-III profile of scores along with integrating recent WAIS?-III literature. Four appendices present the new method in depth. In addition to a detailed description, the authors provide a blank interpretive worksheet to help examiners make the calculations and decisions needed for applying the additional steps of the new system, and norms tables for the new WAIS?-III subtest combinations added in this approach. Assessing Adolescent and Adult Intelligence remains the premier resource for the field, covering not only the WAIS?-III but also the WJ III?, the KAIT, and several brief measures of intelligence, as well as laying out a relevant, up-to-date discussion of the discipline. The new, theory-based interpretive approach for the WAIS?-III makes this a vital resource for practicing psychologists, as well as a comprehensive text for graduate students.

The rough and fuzzy set approaches presented here open up many new frontiers for continued research and development Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets. For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. Building on this foundation, the book provides: A critical review of FS methods, with particular emphasis on their current limitations Program files implementing major algorithms, together with the necessary instructions and datasets, available on a related Web site Coverage of the background and fundamental ideas behind FS A systematic presentation of the leading methods reviewed in a consistent algorithmic framework Real-world applications with worked examples that illustrate the power and efficacy of the FS approaches covered An investigation of the associated areas of FS, including rule induction and clustering methods using hybridizations of fuzzy and rough set theories Computational Intelligence and Feature Selection is an ideal resource for advanced undergraduates, postgraduates, researchers, and professional engineers. However, its straightforward presentation of the underlying concepts makes the book meaningful to specialists and nonspecialists alike.

The development of a research, teaching, or application of competitive (economic) intelligence requires a strategic and transverse vision in regards to related issues. It is essential to integrate the role of culture when interpreting results, either from the training of a specialist or in respect to a country or region. The authors of this book, members of an expert group supported by the CNRS in France, bring all of their talents together to create a comprehensive book that does just this and more.

AI techniques are being successfully used in the fields of health to increase the efficacy of therapies and avoid the risks of false diagnosis, therapeutic decision-making, and outcome prediction in many clinical cases, thanks to the rapid advancement of technology. The acquisition, analysis, and application of a vast amount of information required to solve complex problems is a challenge for modern health therapies. The 21 chapters in this integrate several aspects of computational intelligence like machine learning and deep learning from diversified perspectives. The purpose of the book is to endow to different communities with their innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modeling, advanced deployment, case studies, analytical results, computational structuring and significance progress in healthcare applications.

With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.

In macro-, meso- and micro-economic systems, the concept of innovation involves a variety of resources and functions. It includes all formal and informal institutions, networks and actors that influence innovation and act as innovation boosters within companies, at the territorial level, at the level of innovation networks or in national economies. This book deals with innovation in a globalized context in terms of the entrepreneur, enterprise, territorial and sectoral systems and national systems of innovation in which collective innovation processes are formed.