This e-book is a compilation of selected papers on the theme of "Systems, cybernetics and innovation" from the 13th International Congress of the World Organization of Systems and Cybernetics (WOSC), Slovenia, July 2005 and is guest edited by Professor Matjaz Mulej, University of Maribor. The articles present research and development in a number of areas: Artificial-Natural Dualism; Economic Systems; Education Systems; Engineering and Information Systems; Grey Systems; Management Systems; Mathematical Systems; Nature Systems; Tourism Cybernetics; Viable Organizations; and World Education Syste

This volume contains all papers presented at the Eighth European Meeting on Cybernetics and Systems Research. 169 draft papers were submitted for evaluation. In the process of careful refereeing, 33 papers were rejected and the remaining authors were invited to submit final papers. Out of these, 119 were accepted for presentation at the conference and publication in this volume. These papers were prepared by 173 scientists, authors and co-authors, from 22 European and non-European countries, with different cultural, social, and economic structures. Everybody tried hard to make this conference and its proceedings a true representation of state-of-the-art research worldwide: The members of the Programme Committee and the Chairmen of the Symposia were selected among the ~internationally leading scientists. Great care was taken not to make this conference a "European" or even "Austrian" one. We are happy and proud to hear that these "European Meetings" (the name is a purely traditional one) are recognized as the internationally leading conferences in cybernetics and systems research. Important scientists from allover the world carefully prepare their papers, containing their most recent research findings, and then enjoy the discussions with their co 11 eagues.

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

This volume represents the proceedings of the 2013 International Conference on Innovation, Communication and Engineering (ICICE 2013). This conference was organized by the China University of Petroleum (Huadong/East China) and the Taiwanese Institute of Knowledge Innovation, and was held in Qingdao, Shandong, P.R. China, October 26 - November 1, 20

"This book offers widespread knowledge on modern organizations and the complications of the current globalized computing environment"--Provided by publisher.

Knowledge recommendation is an timely subject that is encountered frequently in research and information services. A compelling and urgent need exists for such systems: the modern economy is in dire need of highly-skilled professionals, researchers, and innovators, who create opportunities to gain competitive advantage and assist in the management of financial resources and available goods, as well as conducting fundamental and applied research more effectively. This book takes readers on a journey into the world of knowledge recommendation, and of systems of knowledge recommendation that use machine intelligence algorithms. It illustrates knowledge recommendation using two examples. The first is the recommendation of reviewers and experts who can evaluate manuscripts of academic articles, or of research and development project proposals. The second is innovation support, which involves bringing science and business together by recommending information that pertains to innovations, projects, prospective partners, experts, and conferences meaningfully. The book also describes the selection of the algorithms that transform data into information and then into knowledge, which is then used in the information systems. More specifically, recommendation and information extraction algorithms are used to acquire data, classify publications, identify (disambiguate) their authors, extract keywords, evaluate whether enterprises are innovative, and recommend knowledge. This book comprises original work and is unique in many ways. The systems and algorithms it presents are informed by contemporary solutions described in the literature - including many compelling, novel, and original aspects. The new and promising directions the book presents, as well as the techniques of machine learning applied to knowledge recommendation, are all original.

Cascades of new technologies and innovations are entering our lives so fast that it is difficult for us to adapt to one innovation before the next becomes embedded into our everyday lives. What happens when the changes brought by technology are so profound that they affect all aspects of our lives? This book explores the potential impact of artificial intelligence (AI) and intelligent robots on individuals, organizations and society, specifically examining the impact on jobs and workplaces in the future. It provides an understanding of how we can adapt to changes that appear like flocks of black swans. Five key areas are unpacked in the book: automation, AI, (the significance of AI technology), innovation, competence transformation, and the fact that the pace of change is so rapid that it outstrips our ability to adapt to consecutive changes. The main objective is to show how AI will change society and how we as individuals and society must adapt in order to survive what the author terms ‘robot shock’, together with its consequences and after-effects. It offers a greater understanding of resistance to change and how we need to adopt strategies for adapting to major changes. Each of the book’s six chapters also contains policy inputs, framed as propositions, that are intended specifically for decision-makers. The book concludes by offering possible strategies for overcoming the negative effects of ‘robot shock’. The book intends to send a message to leaders of institutions, decision-makers and anyone attempting to understand and explain how we – as a social system – can succeed in tackling the many major challenges and crises faced by humanity.

Business approaches in today’s society have become technologically-driven and highly-applicable within various professional fields. These business practices have transcended traditional boundaries with the implementation of internet technology, making it challenging for professionals outside of the business world to understand these advancements. Interdisciplinary research on business technology is required to better comprehend its innovations. Interdisciplinary Approaches to Digital Transformation and Innovation provides emerging research exploring the complex interconnections of technological business practices within society. This book will explore the practical and theoretical aspects of e-business technology within the fields of engineering, health, and social sciences. Featuring coverage on a broad range of topics such as data monetization, mobile commerce, and digital marketing, this book is ideally designed for researchers, managers, students, engineers, computer scientists, economists, technology designers, information specialists, and administrators seeking current research on the application of e-business technologies within multiple fields.

This book constitutes the refereed proceedings of the Second IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2011, held in Costa de Caparica, Portugal, in February 2011. The 67 revised full papers were carefully selected from numerous submissions. They cover a wide spectrum of topics ranging from collaborative enterprise networks to microelectronics. The papers are organized in topical sections on collaborative networks, service-oriented systems, computational intelligence, robotic systems, Petri nets, sensorial and perceptional systems, sensorial systems and decision, signal processing, fault-tolerant systems, control systems, energy systems, electrical machines, and electronics.

This book presents an innovative systems approach towards the idea of a smarter world, with advanced and sustainable social infrastructures, facilities and services. It develops a novel systems approach for society-wide systems where interdependent systems encompassing transportation, energy, communication, water, sewerage, logistics, education, disaster prevention, medical care and welfare are integrated to form a ‘System of Systems’ (SoS). Written by leading system scientists and technology creators, it introduces state-of-the-art concepts of and methodologies for systems approaches towards SoS as well as their practical applications, discussing the planning, design and management challenges in their implementation and the potential impact on societies and the environment. The volume will be of interest to systems engineers, system integrators, and researchers in related engineering fields, as well as government policymakers.