Author: Pierpaolo Andriani Publisher: World Scientific ISBN: 1860944604 Category : Business & Economics Languages : en Pages : 191
Book Description
Annotation This proceedings volume presents a multi-disciplinary analysis of modern businesses as complex systems and some managerial implications of managing complex networks in the knowledge economy. It discusses the impact of major forces that are altering today's business landscape, such as sweeping technological changes, unbundling of integrated structures, growing interdependence between once-independent sectors and increased unpredictability of strategy outcomes. The result has been and will increasingly be the dominion of complex interconnected networks in business. One of the challenges facing today's management is to develop theories and practices that address the dynamics of business networks. Complexity theory has much to contribute to this purpose. Thus, this volume focuses on exploring the emerging patterns of order and discussing the new management practices suitable to the network economy.
Author: Pierpaolo Andriani Publisher: World Scientific ISBN: 1783260726 Category : Business & Economics Languages : en Pages : 191
Book Description
One of the challenges facing today's management is to develop theories and practices that address the dynamics of business networks. Complexity theory has much to contribute to this purpose. Thus, this volume focuses on exploring the emerging patterns of order and discussing the new management practices suitable to the network economy. Its presents a multidisciplinary analysis of modern businesses as complex systems and some managerial implications of managing complex networks in the knowledge economy. It discusses the impact of major forces that are altering today's business landscape, such as sweeping technological changes, unbundling of integrated structures, growing interdependence between once-independent sectors and increased unpredictability of strategy outcomes. The result has been and will increasingly be the dominion of complex interconnected networks in business.Some of the distinguished contributors include Bill McKelvey from UCLA, Richard Hall from the University of Durham and John L Casti from the University of Southern California.
Author: Ian Parberry Publisher: MIT Press ISBN: 9780262161480 Category : Computers Languages : en Pages : 312
Book Description
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circuit complexity (a robust branch of theoretical computer science) and applies this work to a theoretical understanding of the problem of scalability. Most research in neural networks focuses on learning, yet it is important to understand the physical limitations of the network before the resources needed to solve a certain problem can be calculated. One of the aims of this book is to compare the complexity of neural networks and the complexity of conventional computers, looking at the computational ability and resources (neurons and time) that are a necessary part of the foundations of neural network learning. Circuit Complexity and Neural Networks contains a significant amount of background material on conventional complexity theory that will enable neural network scientists to learn about how complexity theory applies to their discipline, and allow complexity theorists to see how their discipline applies to neural networks.
Author: Jon Norberg Publisher: Columbia University Press ISBN: 9780231508865 Category : Science Languages : en Pages : 340
Book Description
Complexity theory illuminates the many interactions between natural and social systems, providing a better understanding of the general principles that can help solve some of today's most pressing environmental issues. Complexity theory was developed from key ideas in economics, physics, biology, and the social sciences and contributes to important new concepts for approaching issues of environmental sustainability such as resilience, scaling, and networks. Complexity Theory for a Sustainable Future is a hands-on treatment of this exciting new body of work and its applications, bridging the gap between theoretical and applied perspectives in the management of complex adaptive systems. Focusing primarily on natural resource management and community-based conservation, the book features contributions by leading scholars in the field, many of whom are among the leaders of the Resilience Alliance. Theoreticians will find a valuable synthesis of new ideas on resilience, sustainability, asymmetries, information processing, scaling, and networks. Managers and policymakers will benefit from the application of these ideas to practical approaches and empirical studies linked to social-ecological systems. Chapters present new twists on such existing approaches as scenario planning, scaling analyses, and adaptive management, and the book concludes with recommendations on how to manage natural resources, how to involve stakeholders in the dynamics of a system, and how to explain the difficult topic of scale. A vital reference for an emerging discipline, this volume provides a clearer understanding of the conditions required for systems self-organization, since the capacity of any system to self-organize is crucial for its sustainability over time.
Author: Banerjee, Santo Publisher: IGI Global ISBN: 1466625104 Category : Business & Economics Languages : en Pages : 449
Book Description
Although chaos theory refers to the existence between seemingly random events, it has been gaining the attention of science, technology and managements fields. The shift from traditional procedures to the dynamics of chaos and complexity theory has resulted in a new element of complexity thinking, allowing for a greater capability for analyzing and understanding key business processes. Chaos and Complexity Theory for Management: Nonlinear Dynamics explores chaos and complexity theory and its relationship with the understanding of natural chaos in the business environment. Utilizing these theories aids in comprehending the development of businesses as a complex adaptive system.
Author: J. Stephen Judd Publisher: MIT Press ISBN: 9780262100458 Category : Computers Languages : en Pages : 188
Book Description
Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.Judd looks beyond the scope of any one particular learning rule, at a level above the details of neurons. There he finds new issues that arise when great numbers of neurons are employed and he offers fresh insights into design principles that could guide the construction of artificial and biological neural networks.The first part of the book describes the motivations and goals of the study and relates them to current scientific theory. It provides an overview of the major ideas, formulates the general learning problem with an eye to the computational complexity of the task, reviews current theory on learning, relates the book's model of learning to other models outside the connectionist paradigm, and sets out to examine scale-up issues in connectionist learning.Later chapters prove the intractability of the general case of memorizing in networks, elaborate on implications of this intractability and point out several corollaries applying to various special subcases. Judd refines the distinctive characteristics of the difficulties with families of shallow networks, addresses concerns about the ability of neural networks to generalize, and summarizes the results, implications, and possible extensions of the work. Neural Network Design and the Complexity of Learning is included in the Network Modeling and Connectionism series edited by Jeffrey Elman.
Author: James Moffat Publisher: DIANE Publishing ISBN: 1437915272 Category : Computers Languages : en Pages : 201
Book Description
A report by the Dept. of Defense¿s Command and Control Research Program. Contents: (1) Complexity in Natural and Economic Systems; (2) Concepts for Warfare from Complexity Theory; (3) Evidence for Complex Emergent Behavior in Historical Data; (4) Mathematical Modeling of Complexity, Knowledge, and Conflict; (5) An Extended Example of the Dynamics of Local Collaboration and Clustering, and Some Final Thoughts. Appendix: Optimal Control with a Unique Control Solution. Tables and figures.
Author: David Byrne Publisher: Routledge ISBN: 1134714742 Category : Social Science Languages : en Pages : 215
Book Description
Chaos and complexity are the new buzz words in both science and contemporary society. The ideas they represent have enormous implications for the way we understand and engage with the world. Complexity Theory and the Social Sciences introduces students to the central ideas which surround the chaos/complexity theories. It discusses key concepts before using them as a way of investigating the nature of social research. By applying them to such familiar topics as urban studies, education and health, David Byrne allows readers new to the subject to appreciate the contribution which complexity theory can make to social research and to illuminating the crucial social issues of our day.
Author: Keith R. B. Morrison Publisher: Psychology Press ISBN: 0415277833 Category : Complex organizations Languages : en Pages : 230
Book Description
This book moves forward the agenda significantly. It enables educational leadership and management discourse to be informed by the latest views that are becoming well established in business and organisational literature in practice.
Author: Andrés Guadamuz Publisher: Edward Elgar Publishing ISBN: 9781848443105 Category : Computer crimes Languages : en Pages : 0
Book Description
Complexity theory as a subject has gained increasing prominence across numerous disciplines including physics, biology, sociology and economics. Large interconnected systems such as the Internet display a number of inherent architectural characteristics deeming them well-suited to the study of complex dynamic networks. This important book uses various network science-based tools to explore the contentious issue of Internet regulation. The author demonstrates that the Internet as a global communications space is a self-organizing entity that has proven problematic for regulators, and that in order to regulate cyberspace, one must first understand how the network operates. In order to illustrate how the world wide web operates, Andres Guadamuz presents case studies in copyright policy, peer-production and cyber crime, providing in-depth analyses of the challenges posed by the Internet's complex dynamic networks. The book concludes that regulatory efforts that ignore empirical evidence will ultimately encounter serious problems. Networks, Complexity and Internet Regulation introduces network theory to legal audiences and applies some of the characteristics of large distributed self-organizing networks to the topic of Internet regulation. As such, this fascinating book will prove invaluable to researchers, academics and students in the fields of Internet regulation and policy, intellectual property law and information technology law. Contents: Introduction 1. The Science of Complex Networks 2. Complexity and the Law 3. Internet Architecture and Regulation 4. Copyright Networks 5. Peer-production Networks 6. Cybercrime and Networks Conclusion Bibliography Index
Author: Pierpaolo Andriani
Author: Pierpaolo Andriani
Author: Ian Parberry
Author: Jon Norberg
Author: Banerjee, Santo
Author: J. Stephen Judd
Author: James Moffat
Author: David Byrne
Author: Keith R. B. Morrison
Author: Andrés Guadamuz