The Role Of Model Integration In Complex Systems Modelling

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The Role of Model Integration in Complex Systems Modelling

Manish I. Patel,Sylvia Nagl
The Role of Model Integration in Complex Systems Modelling Book PDF

Author : Manish I. Patel,Sylvia Nagl
Publisher : Springer Science & Business Media
Page : 173 pages
File Size : 52,7 Mb
Release : 2010-09-08
Category : Technology & Engineering
ISBN : 9783642156021

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The Role of Model Integration in Complex Systems Modelling by Manish I. Patel,Sylvia Nagl Pdf

Model integration – the process by which different modelling efforts can be brought together to simulate the target system – is a core technology in the field of Systems Biology. In the work presented here model integration was addressed directly taking cancer systems as an example. An in-depth literature review was carried out to survey the model forms and types currently being utilised. This was used to formalise the main challenges that model integration poses, namely that of paradigm (the formalism on which a model is based), focus (the real-world system the model represents) and scale. A two-tier model integration strategy, including a knowledge-driven approach to address model semantics, was developed to tackle these challenges. In the first step a novel description of models at the level of behaviour, rather than the precise mathematical or computational basis of the model, is developed by distilling a set of abstract classes and properties. These can accurately describe model behaviour and hence describe focus in a way that can be integrated with behavioural descriptions of other models. In the second step this behaviour is decomposed into an agent-based system by translating the models into local interaction rules. The book provides a detailed and highly integrated presentation of the method, encompassing both its novel theoretical and practical aspects, which will enable the reader to practically apply it to their model integration needs in academic research and professional settings. The text is self-supporting. It also includes an in-depth current bibliography to relevant research papers and literature. The review of the current state of the art in tumour modelling provides added value.

The Role of Model Integration in Complex Systems Modelling

Manish I. Patel,Sylvia Nagl
The Role of Model Integration in Complex Systems Modelling Book PDF

Author : Manish I. Patel,Sylvia Nagl
Publisher : Springer
Page : 168 pages
File Size : 43,9 Mb
Release : 2011-03-23
Category : Technology & Engineering
ISBN : 3642156045

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The Role of Model Integration in Complex Systems Modelling by Manish I. Patel,Sylvia Nagl Pdf

Model integration – the process by which different modelling efforts can be brought together to simulate the target system – is a core technology in the field of Systems Biology. In the work presented here model integration was addressed directly taking cancer systems as an example. An in-depth literature review was carried out to survey the model forms and types currently being utilised. This was used to formalise the main challenges that model integration poses, namely that of paradigm (the formalism on which a model is based), focus (the real-world system the model represents) and scale. A two-tier model integration strategy, including a knowledge-driven approach to address model semantics, was developed to tackle these challenges. In the first step a novel description of models at the level of behaviour, rather than the precise mathematical or computational basis of the model, is developed by distilling a set of abstract classes and properties. These can accurately describe model behaviour and hence describe focus in a way that can be integrated with behavioural descriptions of other models. In the second step this behaviour is decomposed into an agent-based system by translating the models into local interaction rules. The book provides a detailed and highly integrated presentation of the method, encompassing both its novel theoretical and practical aspects, which will enable the reader to practically apply it to their model integration needs in academic research and professional settings. The text is self-supporting. It also includes an in-depth current bibliography to relevant research papers and literature. The review of the current state of the art in tumour modelling provides added value.

Research Challenges in Modeling and Simulation for Engineering Complex Systems

Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal
Research Challenges in Modeling and Simulation for Engineering Complex Systems Book PDF

Author : Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal
Publisher : Springer
Page : 119 pages
File Size : 52,7 Mb
Release : 2017-08-18
Category : Computers
ISBN : 9783319585444

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Research Challenges in Modeling and Simulation for Engineering Complex Systems by Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal Pdf

This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.

Modeling of Complex Systems

V. Vemuri
Modeling of Complex Systems Book PDF

Author : V. Vemuri
Publisher : Academic Press
Page : 465 pages
File Size : 54,9 Mb
Release : 2014-05-10
Category : Technology & Engineering
ISBN : 9781483267524

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Modeling of Complex Systems by V. Vemuri Pdf

Modeling of Complex Systems: An Introduction describes the framework of complex systems. This book discusses the language of system theory, taxonomy of system concepts, steps in model building, and establishing relations using physical laws. The statistical attributes of data, generation of random numbers fundamental problems of recognition, and input-output type models are also elaborated. This text likewise covers the optimization with equality constraints, transfer function models, and competition among species. This publication is written primarily for senior undergraduate students and beginning graduate students who are interested in an interdisciplinary or multidisciplinary approach to large-scale or complex problems of contemporary societal interest.

Model-oriented Systems Engineering Science

Duane W. Hybertson
Model oriented Systems Engineering Science Book PDF

Author : Duane W. Hybertson
Publisher : CRC Press
Page : 390 pages
File Size : 50,9 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781420072525

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Model-oriented Systems Engineering Science by Duane W. Hybertson Pdf

Systems engineering (SE) is experiencing a significant expansion that encompasses increasingly complex systems. However, a common body of knowledge on how to apply complex systems engineering (CSE) has yet to be developed. A combination of people and other autonomous agents, crossing organization boundaries and continually changing, these hybrid sy

Advances in Information and Intelligent Systems

Zbigniew W. Ras,William Ribarsky
Advances in Information and Intelligent Systems Book PDF

Author : Zbigniew W. Ras,William Ribarsky
Publisher : Springer
Page : 353 pages
File Size : 47,9 Mb
Release : 2009-10-15
Category : Computers
ISBN : 9783642041419

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Advances in Information and Intelligent Systems by Zbigniew W. Ras,William Ribarsky Pdf

The College of Computing and Informatics (CCI) at UNC-Charlotte has three departments: Computer Science, Software and Information Systems, and Bioinformatics and Genomics. The Department of Computer Science offers study in a variety of specialized computing areas such as database design, knowledge systems, computer graphics, artificial intelligence, computer networks, game design, visualization, computer vision, and virtual reality. The Department of Software and Information Systems is primarily focused on the study of technologies and methodologies for information system architecture, design, implementation, integration, and management with particular emphasis on system security. The Department of Bioinformatics and Genomics focuses on the discovery, development and application of novel computational technologies to help solve important biological problems. This volume gives an overview of research done by CCI faculty in the area of Information & Intelligent Systems. Presented papers focus on recent advances in four major directions: Complex Systems, Knowledge Management, Knowledge Discovery, and Visualization. A major reason for producing this book was to demonstrate a new, important thrust in academic research where college-wide interdisciplinary efforts are brought to bear on large, general, and important problems. As shown in the research described here, these efforts need not be formally organized joint undertakings (through parts could be) but are rather a convergence of interests around grand themes.

Modelling, Simulation and Applications of Complex Systems

Mohd Hafiz Mohd,Md Yushalify Misro,Syakila Ahmad,Doanh Nguyen Ngoc
Modelling Simulation and Applications of Complex Systems Book PDF

Author : Mohd Hafiz Mohd,Md Yushalify Misro,Syakila Ahmad,Doanh Nguyen Ngoc
Publisher : Springer Nature
Page : 440 pages
File Size : 46,7 Mb
Release : 2021-06-10
Category : Mathematics
ISBN : 9789811626296

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Modelling, Simulation and Applications of Complex Systems by Mohd Hafiz Mohd,Md Yushalify Misro,Syakila Ahmad,Doanh Nguyen Ngoc Pdf

This book discusses the latest progresses and developments on complex systems research and intends to give an exposure to prospective readers about the theoretical and practical aspects of mathematical modelling, numerical simulation and agent-based modelling frameworks. The main purpose of this book is to emphasize a unified approach to complex systems analysis, which goes beyond to examine complicated phenomena of numerous real-life systems; this is done by investigating a huge number of components that interact with each other at different (microscopic and macroscopic) scales; new insights and emergent collective behaviours can evolve from the interactions between individual components and also with their environments. These tools and concepts permit us to better understand the patterns of various real-life systems and help us to comprehend the mechanisms behind which distinct factors shaping some complex systems phenomena being influenced. This book is published in conjunction with the International Workshop on Complex Systems Modelling & Simulation 2019 (CoSMoS 2019): IoT & Big Data Integration. This international event was held at the Universiti Sains Malaysia Main Campus, Penang, Malaysia, from 8 to 11 April 2019. This book appeals to readers interested in complex systems research and other related areas such as mathematical modelling, numerical simulation and agent-based modelling frameworks.

Agent-Based Modeling of Sustainable Behaviors

Amparo Alonso-Betanzos,Noelia Sánchez-Maroño,Oscar Fontenla-Romero,J. Gary Polhill,Tony Craig,Javier Bajo,Juan Manuel Corchado
Agent Based Modeling of Sustainable Behaviors Book PDF

Author : Amparo Alonso-Betanzos,Noelia Sánchez-Maroño,Oscar Fontenla-Romero,J. Gary Polhill,Tony Craig,Javier Bajo,Juan Manuel Corchado
Publisher : Springer
Page : 257 pages
File Size : 40,6 Mb
Release : 2017-01-06
Category : Social Science
ISBN : 9783319463315

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Agent-Based Modeling of Sustainable Behaviors by Amparo Alonso-Betanzos,Noelia Sánchez-Maroño,Oscar Fontenla-Romero,J. Gary Polhill,Tony Craig,Javier Bajo,Juan Manuel Corchado Pdf

Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

Complex Systems Modeling and Simulation in Economics and Finance

Shu-Heng Chen,Ying-Fang Kao,Ragupathy Venkatachalam,Ye-Rong Du
Complex Systems Modeling and Simulation in Economics and Finance Book PDF

Author : Shu-Heng Chen,Ying-Fang Kao,Ragupathy Venkatachalam,Ye-Rong Du
Publisher : Springer
Page : 307 pages
File Size : 51,9 Mb
Release : 2018-11-20
Category : Business & Economics
ISBN : 9783319996240

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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.

Modeling and Managing Interdependent Complex Systems of Systems

Yacov Y. Haimes
Modeling and Managing Interdependent Complex Systems of Systems Book PDF

Author : Yacov Y. Haimes
Publisher : John Wiley & Sons
Page : 928 pages
File Size : 46,5 Mb
Release : 2018-09-04
Category : Technology & Engineering
ISBN : 9781119173694

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Modeling and Managing Interdependent Complex Systems of Systems by Yacov Y. Haimes Pdf

A comprehensive guide to the theory, methodology, and development for modeling systems of systems Modeling and Managing Interdependent Complex Systems of Systems examines the complexity of, and the risk to, emergent interconnected and interdependent complex systems of systems in the natural and the constructed environment, and in its critical infrastructures. For systems modelers, this book focuses on what constitutes complexity and how to understand, model and manage it.Previous modeling methods for complex systems of systems were aimed at developing theory and methodologies for uncoupling the interdependencies and interconnections that characterize them. In this book, the author extends the above by utilizing public- and private- sector case studies; identifies, explores, and exploits the core of interdependencies; and seeks to understand their essence via the states of the system, and their dominant contributions to the complexity of systems of systems. The book proposes a reevaluation of fundamental and practical systems engineering and risk analysis concepts on complex systems of systems developed over the past 40 years. This important resource: Updates and streamlines systems engineering theory, methodology, and practice as applied to complex systems of systems Introduces modeling methodology inspired by philosophical and conceptual thinking from the arts and sciences Models the complexity of emergent interdependent and interconnected complex systems of systems by analyzing their shared states, decisions, resources, and decisionmakers Written for systems engineers, industrial engineers, managers, planners, academics and other professionals in engineering systems and the environment,this text is the resource for understanding the fundamental principles of modeling and managing complex systems of systems, and the risk thereto.

Systems and Models

Hartmut Bossel
Systems and Models Book PDF

Author : Hartmut Bossel
Publisher : BoD – Books on Demand
Page : 374 pages
File Size : 42,5 Mb
Release : 2007
Category : Science
ISBN : 9783833481215

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Systems and Models by Hartmut Bossel Pdf

A multitude of complex systems and actors pursuing their own agenda shape the dynamics of our world. Better understanding of their actions and interactions is crucial, and can be achieved by a profound knowledge of systems and their properties, and their representation in models allowing simulation of probable behavior. Drawing on his extensive research and teaching experience in modeling and simulation of a wide range of systems - from engineering to social systems and ecosystems - the author presents the fundamental concepts and approaches for understanding and modeling the complex systems shaping the dynamics of our world. The book applies state space analysis and system dynamics to deal with the dynamic processes of "causal systems," discusses information processing approaches for modeling decision processes of "actors" and "agents," and uses aspects of the coevolutionary development of systems in their environment to deal with normative orientation, ethics, and evaluation of policies and long-term development. The concepts are applied in particular to the issue of sustainable development of human society in an evolving world. The book is complemented by a survey of system topics and of models from many fields, and by an extensive bibliography on the many systems-related subjects covered. Hartmut Bossel is Professor Emeritus of environmental systems analysis. He taught for many years at the University of California in Santa Barbara and the University of Kassel, Germany, where he was director of the Center for Environmental Systems Research until his retirement. He holds an engineering degree from the Technical University of Darmstadt, and a Ph.D. degree from the University of California at Berkeley. With a background in engineering, systems science, and mathematical modeling, he has led many research projects and future studies in different countries, developing computer simulation models and decision support systems in the areas of energy supply policy, global dynamics, orientation of behavior, agricultural policy, and forest dynamics and management. He has written numerous books on modeling and simulation of dynamic systems, social change and future paths, and has published widely in the scientific literature in several fields. Bossel is author of a System Zoo containing over one hundred simulation models of diverse systems.

Complex Systems

G. Rzevski,C.A. Brebbia
Complex Systems Book PDF

Author : G. Rzevski,C.A. Brebbia
Publisher : WIT Press
Page : 261 pages
File Size : 44,5 Mb
Release : 2017-01-31
Category : Computers
ISBN : 9781784662356

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Complex Systems by G. Rzevski,C.A. Brebbia Pdf

Containing papers presented at the 2016 New Forest Conference on Complex Systems, this multi-disciplinary book presents new approaches for resolving complex issues that cannot be resolved using conventional mathematical or software models. Complex Systems occur in an infinite variety of problems encompassing fields as diverse as economics, the environment, humanities, social and political sciences, physical sciences and engineering. The papers in the book cover such topics as: Complex business processes; Supply chain complexity; Complex adaptive software; Management of complexity; Complexity in social systems; Complexity in engineering; Complex issues in biological and medical sciences; Complex energy systems Complexity and evolution.

Complex Systems in Knowledge-based Environments: Theory, Models and Applications

Andreas Tolk
Complex Systems in Knowledge based Environments Theory Models and Applications Book PDF

Author : Andreas Tolk
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 55,6 Mb
Release : 2009-01-17
Category : Mathematics
ISBN : 9783540880745

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Complex Systems in Knowledge-based Environments: Theory, Models and Applications by Andreas Tolk Pdf

The tremendous growth in the availability of inexpensive computing power and easy availability of computers have generated tremendous interest in the design and imp- mentation of Complex Systems. Computer-based solutions offer great support in the design of Complex Systems. Furthermore, Complex Systems are becoming incre- ingly complex themselves. This research book comprises a selection of state-of-the-art contributions to topics dealing with Complex Systems in a Knowledge-based En- ronment. Complex systems are ubiquitous. Examples comprise, but are not limited to System of Systems, Service-oriented Approaches, Agent-based Systems, and Complex Distributed Virtual Systems. These are application domains that require knowledge of engineering and management methods and are beyond the scope of traditional systems. The chapters in this book deal with a selection of topics which range from unc- tainty representation, management and the use of ontological means which support and are large-scale business integration. All contributions were invited and are based on the recognition of the expertise of the contributing authors in the field. By colle- ing these sources together in one volume, the intention was to present a variety of tools to the reader to assist in both study and work. The second intention was to show how the different facets presented in the chapters are complementary and contribute towards this emerging discipline designed to aid in the analysis of complex systems.

Data-Driven Modeling & Scientific Computation

J. Nathan Kutz
Data Driven Modeling Scientific Computation Book PDF

Author : J. Nathan Kutz
Publisher : OUP Oxford
Page : 608 pages
File Size : 52,6 Mb
Release : 2013-08-08
Category : Mathematics
ISBN : 9780191635885

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Data-Driven Modeling & Scientific Computation by J. Nathan Kutz Pdf

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms that help synthesize, interpret and give meaning to the data in the context of its scientific setting. A specific aim of this book is to integrate standard scientific computing methods with data analysis. By doing so, it brings together, in a self-consistent fashion, the key ideas from: · statistics, · time-frequency analysis, and · low-dimensional reductions The blend of these ideas provides meaningful insight into the data sets one is faced with in every scientific subject today, including those generated from complex dynamical systems. This is a particularly exciting field and much of the final part of the book is driven by intuitive examples from it, showing how the three areas can be used in combination to give critical insight into the fundamental workings of various problems. Data-Driven Modeling and Scientific Computation is a survey of practical numerical solution techniques for ordinary and partial differential equations as well as algorithms for data manipulation and analysis. Emphasis is on the implementation of numerical schemes to practical problems in the engineering, biological and physical sciences. An accessible introductory-to-advanced text, this book fully integrates MATLAB and its versatile and high-level programming functionality, while bringing together computational and data skills for both undergraduate and graduate students in scientific computing.

Systems Science: Theory, Analysis, Modeling, and Design

George E. Mobus
Systems Science Theory Analysis Modeling and Design Book PDF

Author : George E. Mobus
Publisher : Springer Nature
Page : 821 pages
File Size : 52,9 Mb
Release : 2022-03-09
Category : Science
ISBN : 9783030934828

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Systems Science: Theory, Analysis, Modeling, and Design by George E. Mobus Pdf

This book describes a comprehensive approach to applying systems science formally to the deep analysis of a wide variety of complex systems. Detailed ‘how-to’ examples of the three phases (analysis-modeling-design) of systems science are applied to systems of various types (machines, organic (e.g. ecosystem), and supra-organic (e.g. business organizations and government). The complexity of the global system has reached proportions that seriously challenge our abilities to understand the consequences of our use of technology, modification of natural ecosystems, or even how to govern ourselves. For this reason, complex mathematics is eschewed when simpler structures will suffice, allowing the widest possible audience to apply and benefit from the available tools and concepts of systems science in their own work. The book shows, in detail, how to functionally and structurally deconstruct complex systems using a fundamental language of systems. It shows how to capture the discovered details in a structured knowledge base from which abstract models can be derived for simulation. The knowledge base is also shown to be a basis for generating system design specifications for human-built artifacts, or policy recommendations/policy mechanisms for socio-economic-ecological systems management. The book builds on principles and methods found in the authors’ textbook Principles of Systems Science (co-authored with Michael Kalton), but without prerequisites. It will appeal to a broad audience that deals with complex systems every day, from design engineers to economic and ecological systems managers and policymakers.