The kids in Ms. Brandt's class create a special report on the United States of America, with each child doing research on ten states. There's a double-spread map of the whole U.S. and a page for every state jam-packed with trivia, interesting facts, handwritten captions, and jokes. At the end of the book is a map showing how the United States grew over time, a spread on the presidents and what states they hailed from, as well as a "bibliography" of books the kids used in their research. Written by a team of well-known author/artists, this 64-page Smart About History book is a great guide for kids.

This proceedings book presents a comprehensive view of “smart” technologies and perspectives of their application in various areas of economic activity. The authors of the book combined the results of the cutting-edge research on the topic of “smart” technologies in the digital economy and Industry 4.0 and developed a unified scientific concept. The current experience has been considered, and the prospects for the application of “smart” technologies in society to promote social advance have been identified. “Smart” technologies in public administration and law, as well as the experience in development of e-government, have been examined. “Smart” technologies in business activity have been studied, and the transition from digital business to business 4.0 has been justified. The book contains the collection of the best works following the results of the 13th International Research-to-Practice Conference “Smart Technologies” for society, state and economy which was run by the Institute of Scientific Communications (ISC) and was held on July 2–3, 2020. The target audience of this book includes researchers investigating fundamental and applied problems of development of “smart” technologies, as well as concerned parties outside the academic community, in particular, representatives of the digital society, high-tech business entities and officials regulating the digital economy and Industry 4.0.

Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various fields of science, engineering and technology. This book is a collection of work that covers conceptual frameworks, case studies, and analysis while serving as a medium of communication among researchers from academia, industry and government.

This book constitutes the refereed proceedings of the 7th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2012, held in Guilin, China, in October 2012. The 39 revised papers presented together with 5 short papers were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, automatic reasoning, semantic web, information retrieval, knowledge representation, social networks, trust software, internet of things, image processing, and pattern recognition.

The book focuses on new theoretical results and techniques in the field of intelligent systems and control. It provides in-depth studies on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. Given its scope, the book will benefit all researchers, engineers, and graduate students who want to learn about cutting-edge advances in intelligent systems, intelligent control, and artificial intelligence.

This book constitutes the proceedings of the 5th International Conference on the Internet of Vehicles, IOV 2018, which took place in Paris, France, in November 2018. This year’s theme was “Technologies and Services Towards Smart City”. The 21 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections named: IoV communications and networking; IoV clouds and services; vehicular modeling and simulation; and vehicular security and privacy.