Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization compiles numerous ongoing projects and research efforts in the design of agents in light of recent development in neurocognitive science and quantum physics. This innovative collection provides readers with interdisciplinary applications of multi-agents systems, ranging from economics to engineering.

Recently, the event-based paradigm, a burgeoning technology receiving attention in research as well as industry, has gained momentum in the commercial world causing a need for further research in the field. Principles and Applications of Distributed Event-Based Systems showcases event-based systems in real-world applications, providing an overview of relevant terminology and content approachable for readers from a variety of backgrounds. Containing expert international contributions, this advanced publication provides professionals, researchers, and students in systems design with a rich compendium of latest applications in the field.

The book will benefit a reader with a background in physical sciences and applied mathematics interested in the mathematical models of genetic evolution. In the first chapter, we analyze several thought experiments based on a basic model of stochastic evolution of a single genomic site in the presence of the factors of random mutation, directional natural selection, and random genetic drift. In the second chapter, we present a more advanced theory for a large number of linked loci. In the third chapter, we include the effect of genetic recombination into account and find out the advantage of sexual reproduction for adaptation. These models are useful for the evolution of a broad range of asexual and sexual populations, including virus evolution in a host and a host population.

As adult learners and educators pioneer the use of technology in the new century, attention has been focused on developing strategic approaches to effectively integrate adult learning and technology in different learning environments. Integrating Adult Learning and Technologies for Effective Education: Strategic Approaches provides innovative instructional approaches as well as relevant theoretical frameworks and the latest empirical research findings in the area of adult learning and technology. This compelling body of research aids professionals in improving instructional training strategies to educate traditional and non-traditional students in today's information age.

Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications for nearly every industry. As the progress has, in turn, excited the interest of venture investors, technology firms, and a growing number of clients, implementing intelligent automation in both physical and information systems has become a must in business. Handbook of Research on Smart Technology Models for Business and Industry is an essential reference source that discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies. Featuring research on topics such as digital security, renewable energy, and intelligence management, this book is ideally designed for machine learning specialists, industrial experts, data scientists, researchers, academicians, students, and business professionals seeking coverage on current smart technology models.

This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader's area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.

We live in an increasingly interconnected and highly sophisticated society, where the Internet has led to tremendous improvements in the efficiency and effectiveness of public services. The Handbook of Research on E-Services in the Public Sector: E-Government Strategies and Advancements illustrates how technology in e-government saves individuals significant amounts of time and money, while adding value to citizens' experiences with government, thus better serving their needs. This handbook provides comprehensive coverage of the issues facing managers, consultants, and practitioners in e-government and assists them in formulating ICT strategies for use within their field. These new strategies will enable them to implement collaborative policy initiatives within the private, public, and non-profit sectors to ultimately eliminate the global digital divide.

Artificial Higher Order Neural Networks (HONNs) significantly change the research methodology that is used in economics and business areas for nonlinear data simulation and prediction. With the important advances in HONNs, it becomes imperative to remain knowledgeable about its benefits and improvements. Artificial Higher Order Neural Networks for Economics and Business is the first book to provide practical education and applications for the millions of professionals working in economics, accounting, finance and other business areas on HONNs and the ease of their usage to obtain more accurate application results. This source provides significant, informative advancements in the subject and introduces the concepts of HONN group models and adaptive HONNs.

Consisting of an integrated technology platform, enterprise information systems enable organizations to integrate and coordinate all business processes, offering a strategic area of focus. ""Enterprise Information Systems for Business Integration in SMEs: Technological, Organizational, and Social Dimensions"" discusses the main issues, challenges, opportunities, and trends related to the impact of IT on every part of organizational and inter-organizational environments. Containing expert international contributions by leading field researchers, this publication provides readers with the most relevant findings in the topic of enterprise information systems.

Nash equilibrium is the central solution concept in Game Theory. Since Nash's original paper in 1951, it has found countless applications in modeling strategic behavior of traders in markets, (human) drivers and (electronic) routers in congested networks, nations in nuclear disarmament negotiations, and more. A decade ago, the relevance of this solution concept was called into question by computer scientists, who proved (under appropriate complexity assumptions) that computing a Nash equilibrium is an intractable problem. And if centralized, specially designed algorithms cannot find Nash equilibria, why should we expect distributed, selfish agents to converge to one? The remaining hope was that at least approximate Nash equilibria can be efficiently computed.Understanding whether there is an efficient algorithm for approximate Nash equilibrium has been the central open problem in this field for the past decade. In this book, we provide strong evidence that even finding an approximate Nash equilibrium is intractable. We prove several intractability theorems for different settings (two-player games and many-player games) and models (computational complexity, query complexity, and communication complexity). In particular, our main result is that under a plausible and natural complexity assumption ("Exponential Time Hypothesis for PPAD"), there is no polynomial-time algorithm for finding an approximate Nash equilibrium in two-player games. The problem of approximate Nash equilibrium in a two-player game poses a unique technical challenge: it is a member of the class PPAD, which captures the complexity of several fundamental total problems, i.e., problems that always have a solution; and it also admits a quasipolynomial time algorithm. Either property alone is believed to place this problem far below NP-hard problems in the complexity hierarchy; having both simultaneously places it just above P, at what can be called the frontier of intractability. Indeed, the tools we develop in this book to advance on this frontier are useful for proving hardness of approximation of several other important problems whose complexity lies between P and NP: Brouwer's fixed point, market equilibrium, CourseMatch (A-CEEI), densest k-subgraph, community detection, VC dimension and Littlestone dimension, and signaling in zero-sum games.

This book introduces policy, government, and security professionals to the concept of "information warfare," covering its evolution over the last decade and its developments among such economic and political giants as China, Russia, Japan, India, and Singapore. The text describes various conceptions of information warfare, along with how they function in military, diplomatic, political, and economic contexts. Recent notable cyber attacks are analyzed, the challenges faced by countries who fail to secure their cyberspace (Japan, the US, etc.) are enumerated, and ways to distinguish between cybercrime, cyberwarfare, and cyberterrrorism are discussed.

Although the field of informal learning has much to contribute to the field of formal learning, these fields appear to be failing to synergize and balance to create the ideal education environment. Multiple Literacy and Science Education: ICTs in Formal and Informal Learning Environments explores the nature of various learning enlightenment mediums and their consequences within a classroom context to synchronize understanding within the schooling fields. This authoritative collection provides an overview of current research, practices, and evidence-based approaches regarding further development for best practices of multiple literacy teaching atmospheres.

Language learning is one of the most rapidly changing disciplines. Along with changing perspectives in learning in the field of Second Language Acquisition, information communication technology (ICT) has also created many learning paths to assist the process of learning a second language (L2). In such an ever-evolving environment, teachers, researchers, and professionals of a diverse number of disciplines need access to the most current information about research on the field of computer-enhanced language acquisition and learning.""Handbook of Research on Computer-Enhanced Language Acquisition and Learning"" provides comprehensive coverage of successful translation of language learning designs utilizing ICT in practical learning contexts. This authoritative reference source amasses research from over XX authors from XX countries, offering researchers, scholars, students, and professionals worldwide, access to the latest knowledge related to research on computer-enhanced language acquisition and learning.

The information economy continues to challenge businesses in many ways with information technologies and globalization leading to blurred the organizational boundaries. ""Infonomics for Distributed Business and Decision-Making Environments: Creating Information System Ecology"" provides greater understanding of issues, challenges, trends, and technologies effecting the overall utilization and management of information in modern organizations around the world. A leading field resource, this innovative collection addresses the emerging issues in information resources economics and its applications.

Cellular Automata (CA) are a class of spatially and temporally discrete mathematical systems characterized by local interaction and synchronous dynamical evolution, which show complex behavior and are able to model biological phenomena. Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena describes the use of cellular automata to provide important insights into a vast range of physical, biological, social, economic and psychological phenomena. This book presents contemporary research on discrete dynamical systems such as one-dimensional and two-dimensional cellular automata and outlines how these systems can be exploited for artistic purposes, translating their mathematical configurations into music and visual media.

Advances in information technologies have allowed end users to become a fundamental element in the development and application of computing technology and digital information.

The latest edition of a classic text on concurrency and distributed programming - from a winner of the ACM/SIGCSE Award for Outstanding Contribution to Computer Science Education.

Interactive systems in the mobile, ubiquitous, and virtual environments are at a stage of development where designers and developers are keen to find out more about design, use and usability of these systems. Ubiquitous Computing: Design, Implementation and Usability highlights the emergent usability theories, techniques, tools and best practices in these environments. This book shows that usable and useful systems are able to be achieved in ways that will improve usability to enhance user experiences. Research on the usability issues for young children, teenagers, adults, and the elderly is presented, with different techniques for the mobile, ubiquitous, and virtual environments.