Distributed Decision Making PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Distributed Decision Making PDF full book. Access full book title Distributed Decision Making by Christoph Schneeweiss. Download full books in PDF and EPUB format.
Author: Christoph Schneeweiss
Publisher: Springer Science & Business Media
ISBN: 3540247246
Category : Business & Economics
Languages : en
Pages : 533
Get Book Here
Book Description
Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.
Author: Christoph Schneeweiss
Publisher: Springer Science & Business Media
ISBN: 3540247246
Category : Business & Economics
Languages : en
Pages : 533
Get Book Here
Book Description
Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.
Author: Jens Rasmussen
Publisher: Wiley
ISBN: 9780471928287
Category : Psychology
Languages : en
Pages : 416
Get Book Here
Book Description
Frequently (and often inappropriately) decision making in the work environment has been analyzed and modeled in terms of isolated decisions made by one person. In reality, decision making is a continuous, interpersonal process usually involving several ``decision makers'' aiming at dynamic and cooperative control of the state of affairs at work. Based on original contributions from researchers and research teams, this book provides an urgently needed cognitive approach to models of distributed decision making, exploring the basis for design of decision support systems in various complex, collective, modern work environments. It identifies the state of the art of modeling distributed decision making and the problems imposed by modern high-tech systems. A also formulates promising research avenues.
Author: Zur Shapira
Publisher: Cambridge University Press
ISBN: 9780521890502
Category : Business & Economics
Languages : en
Pages : 420
Get Book Here
Book Description
Explores decision making in organizations, highlighting the roles of incentive, conflict, power and politics.
Author: Pramod K. Varshney
Publisher: Springer Science & Business Media
ISBN: 1461219043
Category : Technology & Engineering
Languages : en
Pages : 286
Get Book Here
Book Description
This book provides an introductory treatment of the fundamentals of decision-making in a distributed framework. Classical detection theory assumes that complete observations are available at a central processor for decision-making. More recently, many applications have been identified in which observations are processed in a distributed manner and decisions are made at the distributed processors, or processed data (compressed observations) are conveyed to a fusion center that makes the global decision. Conventional detection theory has been extended so that it can deal with such distributed detection problems. A unified treatment of recent advances in this new branch of statistical decision theory is presented. Distributed detection under different formulations and for a variety of detection network topologies is discussed. This material is not available in any other book and has appeared relatively recently in technical journals. The level of presentation is such that the hook can be used as a graduate-level textbook. Numerous examples are presented throughout the book. It is assumed that the reader has been exposed to detection theory. The book will also serve as a useful reference for practicing engineers and researchers. I have actively pursued research on distributed detection and data fusion over the last decade, which ultimately interested me in writing this book. Many individuals have played a key role in the completion of this book.
Author: Michael McNeese
Publisher: CRC Press
ISBN: 042986177X
Category : Computers
Languages : en
Pages : 249
Get Book Here
Book Description
The background and interwoven streams of team cognition and distributed cognition fermenting together has wielded new nuances of exploration, which continue to be relevant for a theoretical understanding of team phenomena. Foundations and Theoretical Perspectives of Distributed Teams Cognition looks at fundamentals, theoretical concepts, and how theory informs perspectives of thinking for distributed team cognition. The chapters yield a broad understanding of the nature of diverse thinking and insights into technologies, foundations, and theoretical perspectives of distributed team cognition. Features Generates historical patterns and significance that compose developmental trajectories Explains multiple perspectives that incorporate an interdisciplinary understanding that specifies diverse theories Identifies and develops particular challenges resident within team simulation studies and then illustrates research frameworks Highlights and reviews how team simulations are used to produce dynamic experimental results Investigates and studies research variables within distributed team cognition
Author: Christoph Schneeweiss
Publisher:
ISBN: 9783642534300
Category :
Languages : en
Pages : 548
Get Book Here
Book Description
Author: Mehran Mesbahi
Publisher: Princeton University Press
ISBN: 1400835356
Category : Mathematics
Languages : en
Pages : 424
Get Book Here
Book Description
This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities: ? University of Stuttgart, Germany Royal Institute of Technology, Sweden Johannes Kepler University, Austria Georgia Tech, USA University of Washington, USA Ohio University, USA
Author: Carey Doberstein
Publisher: University of Toronto Press
ISBN: 1487535880
Category : Political Science
Languages : en
Pages : 235
Get Book Here
Book Description
The governance of health care in Ontario has long provided opportunities for citizens and stakeholders to participate, deliberate, and influence health care policy and investment decisions. Yet, despite providing opportunities for deliberation and influence amongst citizens, we don’t know how democratic the system actually is. Distributed Democracy advances an original analytical framework to guide an investigation of democracy and accountability relationships in complex policy making environments. Applying the analytical framework in the context of health care governance in Ontario from 2004–2019, Carey Doberstein shows that the popular criticisms of health care governance in Ontario are misplaced. The democratic system of local health care governance is often plagued by severed connections among the various layers of deliberation and policy-making. An incisive analysis with considerable relevance for policy-makers and across academic disciplines, Distributed Democracy makes an important contribution to our understanding of policy development and decision-making as well as the limitations and potential of distributed democratic accountability.
Author: Christoph Schneeweiss
Publisher:
ISBN: 9783662038314
Category :
Languages : en
Pages : 360
Get Book Here
Book Description
Author: Dharmendra Prasad Mahato
Publisher: CRC Press
ISBN: 9780367638825
Category : Computers
Languages : en
Pages : 0
Get Book Here
Book Description
This book provides a deeper understanding of the relevant aspects of AI and DAI impacting each other's efficacy for better output. It will bridge the gap between research solutions and key technologies related to data analytics to ensure Industry 4.0 requirements and at the same time ensure proper network communication and security of big data.
