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This is a collection of independent works on the GLOBUS model. A first and basic application of the GLOBUS model was made through the computation of its standard run for the years 1970-2010. Stated in the simplest possible terms GLOBUS is a computer simulation model of many important macropolitical and macroeconomic relationships within and among 25 prominent contemporary nations plus a rest-of-world entity. It is designed and used to explore possible solutions to long-term global problems.
Finding an alternative to supplement military ways of resolving international conflicts has been taken up by many people skilled in various areas such as political science, economics, social studies, modelling and simulation, artificial intelligence and expert systems, military strategy and weaponry as well as private business and industry. The Workshop will therefore be of use as it looks at various control methods which would create a conciliatory social and political environment or climate for seeking and obtaining non-military solutions to international conflicts and to solutions to national conflicts which may lead to international conflicts.
Statistical Methods and the Improvement of Data Quality contains the proceedings of The Small Conference on the Improvement of the Quality of Data Collected by Data Collection Systems, held on November 11-12, 1982, in Oak Ridge, Tennessee. The conference provided a forum for discussing the use of statistical methods to improve data quality, with emphasis on the problems of data collection systems and how to handle them using state-of-the-art techniques. Comprised of 16 chapters, this volume begins with an overview of some of the limitations of surveys, followed by an annotated bibliography on frames from which the probability sample is selected. The reader is then introduced to sample designs and methods for collecting data over space and time; response effects to behavior and attitude questions; and how to develop and use error profiles. Subsequent chapters focus on principles and methods for handling outliers in data sets; influence functions, outlier detection, and data editing; and application of pattern recognition techniques to data analysis. The use of exploratory data analysis as an aid in modeling and statistical forecasting is also described. This monograph is likely to be of primary benefit to students taking a general course in survey sampling techniques, and to individuals and groups who deal with large data collection systems and are constantly seeking ways to improve the overall quality of their data.
Integrated Global Models of Sustainable Development is a component of Encyclopedia of Technology, Information, and Systems Management Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. In the 21st century the human society is facing the challenge of sustainable development with constraints of global environmental changes. In order to cope with poverty and international per capita income disparity (IPCID), there should be further needs for economic development to provide employment opportunities against “Terrorism and refugees". The coverage in three volumes tires to show a possibility of sustainable development from a global viewpoint by using alternative policy simulations. The chapters are organized so that the readers might understand archived historical trends in global modeling for sustainable development. Starting from global models in the 1970s, 1980s, 1990s, the updated latest modeling works are also included as far as possible. The chapters deal with roles of integrated global models, scope and methodologies and policy implications. These three volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs
Contents:How Many "Demons" Do We Need? Endophysical Self-Creation of Material Structures and the Exophysical Mystery of Universal Libraries (G Kampis & O E Rössler)Some Implications of Re-Interpretation of the Turing Test for Cognitive Science and Artificial Intelligence (G Werner)Why Economic Forecasts will be Overtaken by the Facts (J D M Kruisinga)Simulation Methods in Peace and Conflict Research (F Breitenecker et al)Software Development Paradigms: A Unifying Concept (G Chroust)Hybrid Hierarchies: A Love-Hate Relationship Between ISA and SUPERC (D Castelfranchi & D D'Aloisi)AI for Social Citizenship: Towards an Anthropocentric Technology (K S Gill)Organizational Cybernetics and Large Scale Social Reforms in the Context of Ongoing Developments (E Bekjarov & A Athanassov)China's Economic Reform and its Obstacles: Challenges to a Large-Scale Social Experiment (J Hu & X Sun)Comparing Conceptual Systems: A Strategy for Changing Values as well as Institutions (S A Umpleby)and others Readership: Researchers in the fields of cybernetics and systems, artificial intelligence, economics and mathematicians.
Scientific workflows are one important means in the context of data-intensive science for reliable and efficient scientific data processing in distributed computing infrastructures such as Grids. A common trend is to adapt existing and established business workflow technologies instead of developing own technologies from scratch. This thesis provides a model-driven approach for scientific workflow engineering, in which domain-specific languages (DSLs) tailored for a certain scientific domain are used for scientific workflow modeling, and automated mapping techniques for technical execution are developed and evaluated. The Business Process Model and Notation (BPMN) is thereby used at the domain-specific layer and the Web Services Business Process Execution Language (BPEL) at the technical layer. The implementation uses the Eclipse Modeling Framework (EMf) and is evaluated in three application scenarios.
Many applications follow the distributed computing paradigm, in which parts of the application are executed on different network-interconnected computers. The extension of these applications in terms of number of users or size has led to an unprecedented increase in the scale of the infrastructure that supports them. Large-Scale Distributed Computing and Applications: Models and Trends offers a coherent and realistic image of today's research results in large scale distributed systems, explains state-of-the-art technological solutions for the main issues regarding large scale distributed systems, and presents the benefits of using large scale distributed systems and the development process of scientific and commercial distributed applications.
This book provides the reader with a comprehensive study of the future perspectives of the international order after the collapse of the Evil Empire. The first part of the book reviews the likely evolution of the international system in the years to come, covering the global implications of the end of the East--West order (political, economic & strategic impact); the second part studies the specificities of the situation in Europe, the U.S.A., Asia, & the rest of the world, as well as the role of some international organizations. The book addresses the basic questions facing us since the collapse of the socialist system: What has been the impact of the collapse of the East--West order on the international system? How will various regions & actors be affected by these changes? How will they react to them? What will be the most important challenges & threats in the future international system, & how can we prepare for them? Gathered together in this volume are contributions from some of the most eminent experts from the academic community as well as from governmental & international organizations, making it a reference book for students of international affairs as well as policy-makers & corporate managers.