Computer Simulation Experiments With Models Of Economic Systems
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Author : Thomas H. Naylor,James M. Boughton Publisher : John Wiley & Sons Page : 528 pages File Size : 47,9 Mb Release : 1971 Category : Business & Economics ISBN : WISC:89048112189
Computer Simulation Experiments with Models of Economic Systems by Thomas H. Naylor,James M. Boughton Pdf
Describes methodology for formulation of various economic models and scientific management models, and covers validation, experimental design, data analysis of variance, sequential sampling, spectral analysis, variance reduction, statistical analysis, rules governing sample sizes, simulation languages, etc.
Modeling Dynamic Economic Systems by Matthias Ruth,Bruce Hannon Pdf
The frontiers of physical science and technology commanded attention dur ing the last two centuries. In the next century lies the frontier of better un derstanding of the behavior of social and economic systems. Ruth and Hannon join many other pioneers exploring this new frontier. By building on the profession of system dynamics, Ruth and Hannon con tribute to movement away from purely mental models, which necessarily lack adequate precision, toward more insightful and disciplined computer simulation models. The STELLA software used in this book is one of several computer applications created to implement the concepts of system dynam ics, a discipline that has been developed over the last 40 years and now ex tends into many fields of activity. System dynamics is beginning, even in kindergarten through 12th grade education, to provide a rigorous founda tion for dealing with dynamic change in mathematics, physics, social stud ies, environment, history, and even literature. Education at every level will be changing from teaching isolated facts to allowing students to explore those systems within which facts, policies, and individual relationships are embedded to develop their ability to think in terms of dynamic systems. This book includes elementary instruction in system dynamics modeling and in the STELLA software. It covers a wide range of material from simple building blocks of systems to models and mathematics of considerable complexity. The material opens many avenues for further exploration, re finement, and simplification.
Computer Simulation Techniques by Thomas H. Naylor Pdf
Provides a detailed treatment of the methods and procedures involved in planning and designing computer simulation experiments as well as the theory on which these methods are based.
Complex Systems Modeling and Simulation in Economics and Finance by Shu-Heng Chen,Ying-Fang Kao,Ragupathy Venkatachalam,Ye-Rong Du Pdf
This title brings together frontier research on complex economic systems, heterogeneous interacting agents, bounded rationality, and nonlinear dynamics in economics. The book contains the proceedings of the CEF2015 (21st Computing in Economics in Finance), held 20-22 June 2015 in Taipei, Taiwan, and addresses some of the important driving forces for various emergent properties in economies, when viewed as complex systems. The breakthroughs reported in this book are a result of an interdisciplinary approach and simulation remains the unifying theme for these papers as they deal with a wide range of topics in economics. The text is a valuable addition to the efforts in promoting the complex systems view in economic science. The computational experiments reported in the book are both transparent and replicable. Complex System Modeling and Simulation in Economics and Finance is useful for graduate courses of complex systems, with particular focus on economics and finance. At the same time it serves as a good overview for researchers who are interested in the topic.
Robert Y. Cavana,Brian C. Dangerfield,Oleg V. Pavlov,Michael J. Radzicki,I. David Wheat
Author : Robert Y. Cavana,Brian C. Dangerfield,Oleg V. Pavlov,Michael J. Radzicki,I. David Wheat Publisher : Springer Nature Page : 593 pages File Size : 53,5 Mb Release : 2021-06-30 Category : Business & Economics ISBN : 9783030671907
Feedback Economics by Robert Y. Cavana,Brian C. Dangerfield,Oleg V. Pavlov,Michael J. Radzicki,I. David Wheat Pdf
This book approaches economic problems from a systems thinking and feedback perspective. By introducing system dynamics methods (including qualitative and quantitative techniques) and computer simulation models, the respective contributions apply feedback analysis and dynamic simulation modeling to important local, national, and global economics issues and concerns. Topics covered include: an introduction to macro modeling using a system dynamics framework; a system dynamics translation of the Phillips machine; a re-examination of classical economic theories from a feedback perspective; analyses of important social, ecological, and resource issues; the development of a biophysical economics module for global modelling; contributions to monetary and financial economics; analyses of macroeconomic growth, income distribution and alternative theories of well-being; and a re-examination of scenario macro modeling. The contributions also examine the philosophical differences between the economics and system dynamics communities in an effort to bridge existing gaps and compare methods. Many models and other supporting information are provided as online supplementary files. Consequently, the book appeals to students and scholars in economics, as well as to practitioners and policy analysts interested in using systems thinking and system dynamics modeling to understand and improve economic systems around the world. "Clearly, there is much space for more collaboration between the advocates of post-Keynesian economics and system dynamics! More generally, I would like to recommend this book to all scholars and practitioners interested in exploring the interface and synergies between economics, system dynamics, and feedback thinking." Comments in the Foreword by Marc Lavoie, Emeritus Professor, University of Ottawa and University of Sorbonne Paris Nord
Economics with Heterogeneous Interacting Agents by Alessandro Caiani,Alberto Russo,Antonio Palestrini,Mauro Gallegati Pdf
This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based modeling, it present and discusses didactic models of real financial and economic systems in detail. While stressing the main features and advantages of the bottom-up perspective inherent to this approach, the book also highlights the logic and practical steps that characterize the model building procedure. A detailed description of the underlying codes, developed using R and C, is also provided. In addition, each didactic model is accompanied by exercises and applications designed to promote active learning on the part of the reader. Following the same approach, the book also presents several complementary tools required for the analysis and validation of the models, such as sensitivity experiments, calibration exercises, economic network and statistical distributions analysis. By the end of the book, the reader will have gained a deeper understanding of the Agent Based methodology and be prepared to use the fundamental techniques required to start developing their own economic models. Accordingly, “Economics with Heterogeneous Interacting Agents” will be of particular interest to graduate and postgraduate students, as well as to academic institutions and lecturers interested in including an overview of the AB approach to economic modeling in their courses.
Current Issues in Computer Simulation by Nabil R. Adam,Ali Dogramaci Pdf
Current Issues in Computer Simulation is a collection of papers dealing with computer simulation languages, statistical aspects of simulation, linkage with optimization and analytical models, as well as theory and application of simulation methodology. Some papers explain the General Purpose Simulation System (GPSS), a programming package incorporating a language to simulate discrete systems; and the SIMSCRIPT, a general-purpose simulation language using English commands, for example, FORTRAN. Another simulation language is the General Activity Simulation Program (GASP), providing for an organizational structure to build models to simulate the dynamic performance of systems on a digital computer. Other papers discuss simulation models of real systems, including corporate simulation models, multistage consumer choice process, determination of maximum occupancy for hospital facilities, and the juvenile court system. Many computer simulations are statistical sampling experiments performed on a model of the system under investigation. Other papers discuss some of the variables involved in the statistical design and analysis of simulation experiments such as variance reduction techniques, generation of random variates, and experimental layout. For example, one application simulates inventory systems when many items are stocked in various locations. The collection is suitable for programmers, computer engineers, businessmen, hospital administrators, schools officials, and depositories of huge volumes of information or data.
Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming by Francesco Luna,Benedikt Stefansson Pdf
Computer simulations of economic systems are slowly gaining ground within the economic profession. However, such a process is hindered by a lack of communication among researchers who do not share a common language. For its object-oriented structure and its versatility, Swarm has the necessary characteristics to become a credible universal language of agent-based simulations. Economic Simulations in Swarm collects a series of original articles in such domains as macro and micro economics, industrial organization, monetary theory, and finance, all linked by a common denominator: the use of the Swarm simulation platform. Swarm, a standard set of program libraries, allows users to construct simulations where a collection of heterogeneous independent agents or elements interact through discrete events. This volume offers the first extensive tutorial to the use of these software libraries developed at the Santa Fe Institute as part of the ongoing research into complexity. The editors conceived the idea of this book while visiting the Santa Fe Institute as members of the `Working Group on Adaptive and Computable Economics'. Francesco Luna is a specialist in Computable Economics, and Benedikt Stefansson is an active contributor to the Swarm community.
Meeting the Challenge of Social Problems via Agent-Based Simulation by T. Terano,H. Deguchi,K. Takadama Pdf
The series of international workshops on Agent-Based Approaches in Economic and Social Complex Systems (AESCS) is part of the worldwide activities on computational social and organizational sciences. The second workshop, AESCS ’02, focusing on progress of agent-based simulation was held in Tokyo in August 2002. AESCS ’02 explored the frontiers of the field. The importance of cumulative progress was emphasized in discussions of common tasks, standard computational models, replication and validation issues, and evaluation and verification criteria. Promoting multidisciplinary work in computational economics, organizational science, social dynamics, and complex systems, AESCS ’02 brought together researchers from diverse fields. This book contains the invited papers by Robert Axtell, Shu-Heng Chen, and Takao Terano, along with selected papers collected in three major sections: Economic Systems, Marketing and Management, and Social Systems and Methodology.
Structure and Properties of a Wilderness Travel Simulator by V. Kerry Smith,John V. Krutilla Pdf
First Published in 2011. This is Volume 10 of in a set of ten titles on Resources for the Future Library Collection Forests, Lands and Recreation. The research on which this monograph is based was stimulated by some ideas presented in George Stankey's A Strategy for the Definition and Management of Wilderness Quality and the conceptual model presented in a paper by Anthony Fisher and John Krutilla entitled, Determination of Optimal Capacity of Resource-Based Recreation Facilities. This study explores in an effort to develop operational means of determining optimal capacity of intended low-density recreation facilities was ( 1 ) to establish the empirical relation between the benefits enjoyed during a wilderness outing as a function, among other things, of the number of other parties encountered, and (2) a means of estimating the expected frequency of encounters as a function of the intensity of use of any wilderness area.
Simulation Validation by Peter L. Knepell,Deborah C. Arangno Pdf
Helps you ensure that your simulations are appropriate representations of real-world systems. The book concentrates on the differentiation between the assessment of a simulation tool and the verification and validation of general software products. It is a systematic, procedural, practical guide that you can use to enhance the credibility of your simulation models. In addition, it is a valuable reference book and a road map for software developers and quality assurance experts, or as a text for simulation methodology and software engineering courses. This book details useful assessment procedures and phases, discusses ways to tailor the methodology for specific situations and objectives, and provides numerous assessment aids. The reader can use these aids to support ongoing assessments over the entire life cycle of the model.
The use of simulation in statistics dates from the start of the 20th century, coinciding with the beginnings of radio broadcasting and the invention of television. Just as radio and television are now commonplace in our everyday lives, simulation methods are now widely used throughout the many branches of statistics, as can be readily appreciated from reading Chapters 1 and 9. The book has grown out of a fifteen-hour lecture course given to third-year mathematics undergraduates at the University of Kent, and it could be used either as an undergraduate or a postgraduate text. Simulation may either be taught as an operational research tool in its own right, or as a mathematical method which cements together different parts of statistics and which may be used in a variety of lecture courses. In the last three chapters indications are made of the varied uses of simulation throughout statistics. Alternatively, simulation may be used to motivate subjects such as the teaching of distribution theory and the manipulation of random variables, and Chapters 4 and 5 especially will hopefully be useful in this respect.
Current Topics in Cybernetics and Systems by J. Rose Pdf
This book is a record of the contents of the papers accepted by the Congress Committee for presentation at the Fourth International Congress of Cybernetics and Systems (Amsterdam, The Netherlands, 21-25 August 1978). Two hundred and forty-five papers from authors from thirty-three countries of all the five continents are included. The papers are presented in an abridged form in order to highlight the main themes and produce a book that is both readable and relatively inexpensive. It was felt that after the publication of the weighty and rather costly form of the Proceedings of the Third International Congress of Cybernetics and Systems held in Bucharest, Romania in 1975 (Modern Trends in Cybernetics and Systems, eds. Rose and Bilciu, W. O. G. S. c. and Springer-Verlag, 1977; 3 volumes about 3500 pages; $150), an abridged but comprehen sive version would be more acceptable to readers. It is worth noting that the full names and addresses of authors are given for each paper, and requests to authors for more information and even full-scale papers would produce a positive response. As a matter of interest, each paper carries, in addition, brief summaries. The papers are arranged in each section or symposium in the alphabetical order of authors' names; this is not necessarily the order of presentation at the Congress.
Simulation and the Monte Carlo Method by Reuven Y. Rubinstein Pdf
This book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.
