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This book presents comprehensive treatment of a rapidly developing area with many potential applications: the theory of monotone dynamical systems and the theory of competitive and cooperative differential equations. The primary aim is to provide potential users of the theory with techniques, results, and ideas useful in applications, while at the same time providing rigorous proofs. Among the topics discussed in the book are continuous-time monotone dynamical systems, and quasimonotone and nonquasimonotone delay differential equations. The book closes with a discussion of applications to quasimonotone systems of reaction-diffusion type. Throughout the book, applications of the theory to many mathematical models arising in biology are discussed. Requiring a background in dynamical systems at the level of a first graduate course, this book is useful to graduate students and researchers working in the theory of dynamical systems and its applications.
Because of the clearly important role cooperative systems play in areas such as military sciences, biology, communications, robotics, and economics, just to name a few, the study of cooperative systems has intensified. This book provides an insight in the basic understanding of cooperative systems as well as in theory, modeling, and applications of cooperative control, optimization and related problems.
The main assumption behind the COOP conferences is that co-operative systems design requires a deep understanding of the co-operative work of dyads, groups and organizations, involving both artefacts and social conventions. The key topic of COOP'2000 was The Use of Theories and Models in Designing Cooperative Systems. Two opposite methodological approaches to co-operative system design can be clearly identified - a pragmatic approach or an approach based on theories and models. Objectives of the COOP'2000 Conference included: clarifying the reasons why one needs or does not need to use a theory or a model for design, comparing the pragmatic and the theory/model-based approaches, and identifying possible joint points between them, discussing the relevance of the theories/models with respect to the design of co-operative systems, to better delimit the respective application fields of the various theories/models, and to identify their possible joint points.
Cooperative systems design requires a deep understanding of the cooperative work of groups and organizations. The papers included in this book draw from an empirical background including studies in healthcare, homecare, software-development, architectural design, marine insurance industry and learning in university settings.
Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve — while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the Fourth Annual Conference on Cooperative Control and Optimization held in Destin, Florida, November 2003.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences
Annotation The main goal of the COOP conferences is to contribute to the solution of problems related to the design of cooperative systems, and to the integration of these systems in organizational settings. The main assumption behind the COOP conferences is that cooperative design requires a deep understanding of cooperative work in groups and organizations, involving both artifacts and social practices. The COOP 2002 conference is mainly devoted to the following issues: the gap between 'virtual' and 'material' artifacts in human collaboration; collaboration among mobile actors; the WWW as a platform for cooperative systems and changing practices and organizations in the wake of the cooperative systems.
A recent conference brought together researchers who contribute to the design of cooperative systems and their integration into organizational settings. The aim of the conference was to advance the understanding and modeling of collaborative work situations which are mediated by technological artefacts, and to highlight the development of design methodologies for cooperative work analysis and cooperative systems design. Papers from the conference reflect the multidisciplinary nature of this area, representing fields such as computer and information sciences, knowledge engineering, distributed artificial intelligence, organizational and management sciences, and ergonomics. There is no subject index. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).
COOP 2012 is the tenth COOP conference, marking twenty years from the first conference in 1992. In this special anniversary edition we asked researchers and practitioners to reflect on what have been the successes and the failures in designing cooperative systems, and what challenges still need to be addressed. We have come a long way in understanding the intricacies of cooperation and in designing systems that support work practices and collective activities. These advances would not have been possible without the concerted effort of contributions from a plethora of domains including CSCW, HCI, Information Systems, Knowledge Engineering, Multi-agent systems, organizational and management sciences, sociology, psychology, anthropology, ergonomics, linguistics, etc. The COOP community is going from strength to strength in developing new technologies, advancing and proposing new methodological approaches, and forging theories.
This book is the first to directly address the question of how to bridge what has been termed the "great divide" between the approaches of systems developers and those of social scientists to computer supported cooperative work--a question that has been vigorously debated in the systems development literature. Traditionally, developers have been trained in formal methods and oriented to engineering and formal theoretical problems; many social scientists in the CSCW field come from humanistic traditions in which results are reported in a narrative mode. In spite of their differences in style, the two groups have been cooperating more and more in the last decade, as the "people problems" associated with computing become increasingly evident to everyone. The authors have been encouraged to examine, rigorously and in depth, the theoretical basis of CSCW. With contributions from field leaders in the United Kingdom, France, Scandinavia, Mexico, and the United States, this volume offers an exciting overview of the cutting edge of research and theory. It constitutes a solid foundation for the rapidly coalescing field of social informatics. Divided into three parts, this volume covers social theory, design theory, and the sociotechnical system with respect to CSCW. The first set of chapters looks at ways of rethinking basic social categories with the development of distributed collaborative computing technology--concepts of the group, technology, information, user, and text. The next section concentrates more on the lessons that can be learned at the design stage given that one wants to build a CSCW system incorporating these insights--what kind of work does one need to do and how is understanding of design affected? The final part looks at the integration of social and technical in the operation of working sociotechnical systems. Collectively the contributors make the argument that the social and technical are irremediably linked in practice and so the "great divide" not only should be a thing of the past, it should never have existed in the first place.
Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with first-, second- and on up to general high-order nonlinear dynamics are presented. Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.