Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents. Topics included plan verification, generation, and execution, negotiation operators, representation, network management problem, and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science, and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts.

Quantum computers have demonstrated that they have the inherent potential to outperform classical computers in many areas. One of the major impacts is that the currently available cryptography algorithms are bound to no longer hold once quantum computers are able to compute at full speed. This book presents an overview of all the cross-disciplinary developments in cybersecurity that are being generated by the advancements in quantum computing.

This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users' privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federated learning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

This book will help students to learn C programming language, and at the same time, it will allow the students to learn how to build one's own programming language, a minimal LISP in fewer than 1000 lines of code. The concepts of the C programming language are used in almost all engineering disciplines and, therefore, this textbook is essential for all students to grasp the basics of the language. This will be an indispensable textbook not only for the students of Computer Science, but will also be useful to students in other engineering disciplines. Salient Features Provides all the important standard and precise definitions Contains numerous solved examples to help students to grasp the basics Provides hints and explanations for every problem for better understanding Helps build one's own minimal LISP in fewer than 1000 lines of code Familiarizes the students with imperative programming as another way of implementing programs Reinforces the principle of abstraction to encourage students to look for more abstract solutions.

Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system and this is done using Cryptography. A Cryptocurrency is a digital money that operates on the Blockchain technology. This book is intended to provide a detailed analysis of the effect of Blockchain and Cryptocurrency in the current market. It is designed with the focus to facilitate the students in understanding the working behind the raging technology. Blockchain and Cryptocurrency are vastly discussed nowadays in all research domains to bring decentralization. This book gives easy access to the complex terminologies revolving around the technology. Since this is a new course assigned in the curriculum, therefore special care is taken in drafting the units. The chapters have been written with reference to the past understanding of the students of cryptography and merging those concepts with the Blockchain technology. The emphasis is laid on fundamental ideas and ease of understanding with suitable diagrammatic representation and real world examples. This book is self-contained and requires no comparison and analysis with other conceptual data. It can also be used by scholars who are beginners in the Blockchain technology and wish to dive deeper in its technological aspects. Numerous multiple choice questions at the back of each chapter are given to test the objective understanding of the concepts. Salient Features: Standard and precise definitions and tips. Popular blockchain consensus protocols, their strengths, weaknesses and application scenarios through analysis and comparison. Several blockchain examples essential for engineering students. Hints and explanations are given in the solution of every problem. Imperative real examples