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"Whether by design, accident or merely synchronicity, Checkland appears to have developed a habit of writing seminal publications near the start of each decade which establish the basis and framework for systems methodology research for that decade." Hamish Rennie, Journal of the Operational Research Society, 1992Thirty years ago Peter Checkland set out to test whether the Systems Engineering (SE) approach, highly successful in technical problems, could be used by managers coping with the unfolding complexities of organizational life. The straightforward transfer of SE to the broader situations of management was not possible, but by insisting on a combination of systems thinking strongly linked to real-world practice Checkland and his collaborators developed an alternative approach - Soft Systems Methodology (SSM) - which enables managers of all kinds and at any level to deal with the subtleties and confusions of the situations they face. This work established the now accepted distinction between hard systems thinking, in which parts of the world are taken to be systems which can be engineered, and soft systems thinking in which the focus is on making sure the process of inquiry into real-world complexity is itself a system for learning. Systems Thinking, Systems Practice (1981) and Soft Systems Methodology in Action (1990) together with an earlier paper Towards a Systems-based Methodology for Real-World Problem Solving (1972) have long been recognized as classics in the field. Now Peter Checkland has looked back over the three decades of SSM development, brought the account of it up to date, and reflected on the whole evolutionary process which has produced a mature SSM. SSM: A 30-Year Retrospective, here included with Systems Thinking, Systems Practice closes a chapter on what is undoubtedly the most significant single research programme on the use of systems ideas in problem solving. Now retired from full-time university work, Peter Checkland continues his
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Systems Concepts in Action: A Practitioner's Toolkit offers out a wide range of systems methods to help readers investigate, evaluate and intervene in complex messy situations.
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"This invaluable book is the first of its kind on "selforganizology", the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc. Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature. This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences."--
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This book is devoted to a systems-theoretical presentation of the main results of money and financial institutions by using the systemic yoyo model and relevant analytical tools. The author presents the main concepts and results of the subject matter in the language of systems science, which has in the past century brought forward revolutionary applications of systems research in various areas of the traditional disciplines. Because of the brand new logic of reasoning applied in this volume, some of the unsettled problems in the area of money and banking are addressed beautifully so that th
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Water resource systems research provides a basis for rational water management in large basins. The design and operation of water resource systems are both the most complicated and the most important tasks of water management. This book deals with the basic issues involved in the application of systems sciences to water management. A survey of the systems sciences (the general systems theory, cybernetics, systems engineering, operations research and systems analysis) is presented, as well as the methods for water resource systems analysis and for water resource systems analysis and for their evaluation. The mathematical methods used in systems theory have been given detailed treatment. Linear and dynamic programming have been used as models of optimal programming. Since many practical tasks require the simulation models of water resource systems, apart from their principles and a detailed description, the simulation language for computing programming has been included. Other methods of operations research and their application to water resource systems have been analysed and evaluated. Some of these are: models of inventory theory, models of queuing theory, graphs, network analysis, and some special methods like the out-of-kilter algorithm, the chance-constrained model and the chance-constrained model combined with the simluation model. One chapter is devoted to information and information systems in water management. The final part of the book deals with prospects for water resource systems development. The book is intended for engineers and decision-makers involved in projects, operation and research. However, it can be used by students in high schools, technical universities and by graduate students. It will serve as an up-to-date source of information about the principles and methodology of water resource analysis and design.
System theory. --- Water-supply engineering --- Data processing.
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Qualitative analysis of large scale dynamical systems
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Problem-solving is an important part of our lives. Dialectical Networking Thinking (DNT) is a soft-systems methodology aimed at complex problem-solving. The modern (dynamic) business is a demanding and complex process. It requires permanent learning, innovating, and adapting to the requirements of demanding customers. The latter must be able to face their challenges and change themselves accordingly, first of all by innovating their own values and knowledge, especially concerning holistic complex problem-solving in business. DNT enables us to do this. A key issue namely keeps surfacing: what i
Organizational behavior. --- Problem solving. --- System theory.
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Nonlinear systems. --- Polynomials. --- Algebra --- Systems, Nonlinear --- System theory
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The origin of the word synchronization is a greek root, meaning ""to share the common time"". The original meaning of synchronization has been maintained up to now in the colloquial use of this word, as agreement or correlation in time of different processes. Historically, the analysis of synchronization phenomena in the evolution of dynamical systems has been a subject of active investigation since the earlier days of physics. Recently, the search for synchronization has moved to chaotic systems. In this latter framework, the appearance of collective (synchronized) dynamics is, in gen
Nonlinear systems. --- Synchronization. --- Synchronism --- Time measurements --- Systems, Nonlinear --- System theory
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Cybernetics. --- Mechanical brains --- Control theory --- Electronics --- System theory
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