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Author: Achim Sydow
Publisher:
ISBN:
Category :
Languages : en
Pages : 704
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Book Description
Author: Achim Sydow
Publisher:
ISBN:
Category :
Languages : en
Pages : 704
Get Book Here
Book Description
Author: Achim Sydow
Publisher: Elsevier Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 710
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Book Description
Extended tools for analyzing and understanding complex systems and their applications in natural, management, engineering and social sciences are topics of the 4th International Symposium on Systems Analysis and Simulation held in Berlin, August 25-28, 1992. The development of simulation tools is very much driven by the tasks of systems analysis and at the same time by new architectures of computers like vector and parallel computers. Such extended simulation tools support the modelling process itself as well as the experimentation process with the simulated model. Systems analysis by means of such advanced tools here is briefly named Computational Systems Analysis (see also Computational Systems Analysis/Topics and Trends, ed. by A. Sydow, Elsevier, 1992). It connects systems theory, numerical mathematics, control and decisions sciences with applying sciences like physics, engineering sciences, biology, economy and many others on the base of computer technique in order to analyze, construct and control systems. This volume contains papers which were accepted for presentation at the symposium. It reflects activities and the state of the art in that area.
Author: Achim Sydow
Publisher:
ISBN: 9780444897800
Category :
Languages : en
Pages :
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Book Description
Author: Achim Sydow
Publisher: Elsevier Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 476
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Book Description
The impetus to publish this handbook dates back to the Berlin Symposium on Systems Analysis and Simulation in 1988. At that time one could state the close relation between the task of analysing complex systems and the development of simulation software tools. The controlling influence of systems research provides systems analysts with powerful simulation tools supporting the modelling process itself as well as the experimental phase with the simulated model. System Analysis by means of such extended simulation tools here is named briefly Computational Systems Analysis. It connects systems theory, numerical mathematics, control and decisions sciences, and application sciences like biology, economy, and others on the base of computer technique to investigate special systems and to find control strategies.
Author: Eberhard O. Voit
Publisher: Cambridge University Press
ISBN: 9780521785792
Category : Medical
Languages : en
Pages : 556
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Book Description
Teaches the use of modern computational methods for the analysis of biomedical systems using case studies and accompanying software.
Author: Frank H. Eeckman
Publisher: Springer Science & Business Media
ISBN: 146153254X
Category : Computers
Languages : en
Pages : 490
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Book Description
Computational neuroscience is best defined by its focus on understanding the nervous systems as a computational device rather than by a particular experimental technique. Accordinlgy, while the majority of the papers in this book describe analysis and modeling efforts, other papers describe the results of new biological experiments explicitly placed in the context of computational issues. The distribution of subjects in Computation and Neural Systems reflects the current state of the field. In addition to the scientific results presented here, numerous papers also describe the ongoing technical developments that are critical for the continued growth of computational neuroscience. Computation and Neural Systems includes papers presented at the First Annual Computation and Neural Systems meeting held in San Francisco, CA, July 26--29, 1992.
Author: Adelinde M. Uhrmacher
Publisher: CRC Press
ISBN: 142007024X
Category : Computers
Languages : en
Pages : 582
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Book Description
Methodological Guidelines for Modeling and Developing MAS-Based Simulations The intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in a variety of application domains, much of the supporting research remains scattered in the literature, too often leaving scientists to develop multi-agent system (MAS) models and simulations from scratch. Multi-Agent Systems: Simulation and Applications provides an overdue review of the wide ranging facets of MAS simulation, including methodological and application-oriented guidelines. This comprehensive resource reviews two decades of research in the intersection of MAS, simulation, and different application domains. It provides scientists and developers with disciplined engineering approaches to modeling and developing MAS-based simulations. After providing an overview of the field’s history and its basic principles, as well as cataloging the various simulation engines for MAS, the book devotes three sections to current and emerging approaches and applications. Simulation for MAS — explains simulation support for agent decision making, the use of simulation for the design of self-organizing systems, the role of software architecture in simulating MAS, and the use of simulation for studying learning and stigmergic interaction. MAS for Simulation — discusses an agent-based framework for symbiotic simulation, the use of country databases and expert systems for agent-based modeling of social systems, crowd-behavior modeling, agent-based modeling and simulation of adult stem cells, and agents for traffic simulation. Tools — presents a number of representative platforms and tools for MAS and simulation, including Jason, James II, SeSAm, and RoboCup Rescue. Complete with over 200 figures and formulas, this reference book provides the necessary overview of experiences with MAS simulation and the tools needed to exploit simulation in MAS for future research in a vast array of applications including home security, computational systems biology, and traffic management.
Author: D.J. Murray-Smith
Publisher: Springer Science & Business Media
ISBN: 1461525047
Category : Technology & Engineering
Languages : en
Pages : 258
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Book Description
obtained by simulation more quickly, effec Computer simulation of dynamic systems is a topic which is growing steadily in importance tively and cheaply than by experimentation and testing of the real system. System perfor in the physical sciences, engineering, biology and medicine. The reasons for this trend mance can also be investigated using simula relate not only to the steadily increasing tion for a much wider range of conditions than can be contemplated for the real system power of computers and the rapidly falling costs of hardware, but also to the availability because of operating constraints or safety of appropriate software tools in the form of requirements. Similar factors can apply in simulation languages. Problem-oriented lan other fields, such as biomedical systems guages of this kind assist those who are not engineering. specialists in computational methods to trans System simulation, using digital computers, can relate either to models based on continu late a mathematical description into a simula tion program in a simple and straightforward ous variables or to discrete-event descriptions. fashion. They can also provide useful diag Continuous system simulation techniques are applied to systems described by sets of differ nostic information when difficulties are encountered. Therefore, a simulation lan ential equations and algebraic equations.
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2318
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Book Description
A world list of books in the English language.
Author: L. Dekker
Publisher: Elsevier
ISBN: 1483290433
Category : Computers
Languages : en
Pages : 996
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Book Description
The contributions of a diverse selection of international hardware and software specialists are assimilated in this book's exploration of the development of massively parallel processing (MPP). The emphasis is placed on industrial applications and collaboration with users and suppliers from within the industrial community consolidates the scope of the publication. From a practical point of view, massively parallel data processing is a vital step to further innovation in all areas where large amounts of data must be processed in parallel or in a distributed manner, e.g. fluid dynamics, meteorology, seismics, molecular engineering, image processing, parallel data base processing. MPP technology can make the speed of computation higher and substantially reduce the computational costs. However, to achieve these features, the MPP software has to be developed further to create user-friendly programming systems and to become transparent for present-day computer software. Application of novel electro-optic components and devices is continuing and will be a key for much more general and powerful architectures. Vanishing of communication hardware limitations will result in the elimination of programming bottlenecks in parallel data processing. Standardization of the functional characteristics of a programming model of massively parallel computers will become established. Then efficient programming environments can be developed. The result will be a widespread use of massively parallel processing systems in many areas of application.
