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Modelling and Simulation for Autonomous Systems: 5th International Conference, MESAS 2018, Prague, Czech Republic, October 17–19, 2018, Revised Selected papers (Lecture Notes in Computer Science #11472)
by Jan MazalThis book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Modelling and Simulation for Autonomous Systems, MESAS 2018, held in Prague, Czech Republic, in October 2018. The 46 revised full papers included in the volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: Future Challenges of Advanced M&S Technology; Swarming - R&D and Application; M&S of Intelligent Systems - AI, R&D and Application; AxS in Context of Future Warfare and Security Environment (Concepts, Applications, Training, Interoperability, etc.).
Modelling and Simulation for Autonomous Systems: 6th International Conference, MESAS 2019, Palermo, Italy, October 29–31, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11995)
by Jan Mazal Adriano Fagiolini Petr VasikThis book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Modelling and Simulation for Autonomous Systems, MESAS 2019, held in Palermo, Italy, in October 2019. The 22 full papers and 13 short papers included in the volume were carefully reviewed and selected from 53 submissions. They are organized in the following topical sections: M&S of intelligent systems - AI, R&D and application; future challenges of advanced M&S technology; AxS in context of future warfare and security environment (concepts, applications, training, interoperability, etc.).
Modelling and Simulation for Autonomous Systems: 7th International Conference, MESAS 2020, Prague, Czech Republic, October 21, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12619)
by Jan Mazal Adriano Fagiolini Petr Vasik Michele TuriThis book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2020, held in Prague, Czech Republic, in October 2020.*The 19 full papers included in the volume were carefully reviewed and selected from 26 submissions. They are organized in the following topical sections: future challenges of advanced M&S technology; M&S of intelligent systems – R&D and application; and AxS/AI in context of future warfare and security environment. *The conference was held virtually.
Modelling and Simulation for Autonomous Systems: 9th International Conference, MESAS 2022, Prague, Czech Republic, October 20–21, 2022, Revised Selected Papers (Lecture Notes in Computer Science #13866)
by Stefan Pickl Jan Mazal Adriano Fagiolini Agostino Bruzzone Vlastimil Neumann Petr Stodola Petr Vašík Stefano Lo StortoThis book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2022, held MESAS 2022, Prague, Czech Republic, October 2022.The 21 full papers included in the volume were carefully reviewed and selected from 24 submissions. They are organized in the following topical sections: Modelling, Simulation Technology, methodologies and Robotics.
Modelling and Simulation in Management Sciences: Proceedings of the International Conference on Modelling and Simulation in Management Sciences (MS-18) (Advances in Intelligent Systems and Computing #894)
by Janusz Kacprzyk Joan Carles Ferrer-Comalat Salvador Linares-Mustarós José M. MerigóThis book includes a collection of selected papers presented at the International Conference on Modelling and Simulation in Engineering, Economics, and Management, held at the Faculty of Economics and Business at the University of Girona, Spain, 28-29 June 2018.The conference was organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE) and the University of Girona with the aim of promoting research in the field of modelling, simulation and management science. This book presents original research studies related to fuzzy logic, soft computing and uncertainty, as well as a number of papers in the field of bibliometrics in social sciences. Presenting new advances in these areas, with a special focus on management, economics and social sciences.It is of great interest to researchers and Ph.D. students working in the field of fuzzy logic, soft computing, uncertainty and bibliometrics.
Modelling and Simulation in Science, Technology and Engineering Mathematics: Proceedings Of International Conference On Modelling And Simulation (ms-17) (Advances In Intelligent Systems and Computing #749)
by Surajit Chattopadhyay Samarjit Sengupta Christian Berger-Vachon Tamal RoyThis volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.
Modelling and Simulation: Exploring Dynamic System Behaviour (Simulation Foundations, Methods and Applications)
by Louis G. Birta Gilbert ArbezThis hands-on textbook/reference presents an introduction to the fundamental aspects of modelling and simulation, both for those wishing to learn about this methodology and also for those who have a need to apply it in their work. The text is supported by illustrative examples, drawn from projects formulated within the domains of discrete-event dynamic systems (DEDS) and continuous-time dynamic systems (CTDS).This updated new edition has been enhanced with new illustrative case studies, and additional examples demonstrating some new features and the effectiveness of the ABCmod conceptual modelling framework. Changes that facilitate the development of simulation models with ABSmod/J are illustrated. New material includes a presentation of the experimentation strategy called “design of experiments” and three new chapters that explore the optimization-simulation interface.Topics and features: presents a goal-based and project-oriented perspective of modelling and simulation; describes the ABCmod framework, an activity-based conceptual modelling framework for DEDS; examines the simulation-optimization interface in both the CTDS and DEDS domains; provides numerous illustrative examples, case studies and useful algorithms, as well as exercises and projects at the end of most chapters; includes appendices on probability and statistics, the GPSS programming environment, and relevant MATLAB features; provides supplementary software and teaching support material at an associated website, including lecture slides and a methodology for organizing student projects.Serving as an essential guide to the foundations of modelling and simulation, this practical primer is ideal for senior undergraduate and junior graduate-level students. Also suitable for self-study, the book will be of great benefit to professionals seeking insight into the vast potential of this rapidly evolving problem-solving paradigm.
Modelling in Engineering 2020: Applied Mechanics (Advances in Intelligent Systems and Computing #1336)
by Roman Szewczyk Sławomir Kciuk Arkadiusz Mężyk Sławomir DudaThis book includes the outcomes of the 59th Symposium “Modelowanie w Mechanice” (Engineering Modelling in Mechanics) held in Ustroń from 22 February to 26 February 2020. The International Conference has an over 58-year-old history and is organized by the Department of Theoretical and Applied Mechanics of Silesian University of Technology under the patronage of the Polish Society of Theoretical and Applied Mechanics, Gliwice Branch.Subjects of the conference are modelling of mechatronic systems, machinery dynamics, control systems, sensitivity analysis and optimization, numerical modelling and experimental methods in mechanics, biomechanics, heat flow analysis, fluid mechanics, etc. The papers are dealing with interdisciplinary problems in which mechanical phenomena are of decisive importance.The potential reader of this book will find their set of papers concentrated on the use of computer-aided design, virtual modelling, numerical simulations, fast prototyping and experimental tests of mechanical systems. It is an area of versatile and interdisciplinary research trends with one of the mainstreams focusing on applied mechanics.
Modelling of Convective Heat and Mass Transfer in Nanofluids with and without Boiling and Condensation (Mathematical Engineering)
by Igor V. Shevchuk Andriy A. AvramenkoThis book presents step-by-step description of the use of Lie group analysis to find symmetry forms and similarity solutions for single- and two-phase laminar and turbulent flows of nanofluids. It outlines novel and unique analytical solutions validated via comparisons with experimental data. The main part of the book is devoted to analytical modeling of film condensation of still and moving vapor with nanoparticles, stable film boiling of nanofluids, instantaneous unsteady boiling and condensation of nano- and ordinary fluids and clarification and quantification of instability conditions in the vapor layer, as well as centrifugal and Dean instability in nanofluids. It was demonstrated that such complex phenomena can be successfully simulated using the proposed approaches validated via reliable experiments. The book is intended for scientists, engineers, graduate and undergraduate students specializing in the area of engineering thermodynamics, heat and mass transfer and energy systems.
Modelling of GPCRs
by Andrea Strasser Hans-Joachim WittmannG protein coupled receptors (GPCRs) comprise an important protein family, which is involved in signal transduction in the cell. Besides that a large number of drugs, available on market, address GPCRs. For an efficient and improved development of appropriate drugs, molecular modelling of GPCRs is - in order to understand the ligand-receptor interactions and functionality of GPCRs on molecular level - an important tool. The book "Modelling of GPCRs - a practical handbook" is focussed onto a practical introduction into molecular modelling of GPCRs. This book is very useful for beginners in GPCR modelling, but also addresses the advanced GPCR modeller: On the one hand, the book introduces principles of GPCR modelling, including extensive examples. On the other hand, detailed outlooks onto advanced GPCR modelling techniques are presented. Furthermore, the book includes important data, like information about crystal structures in a summarized manner or amino acid sequences, which are essential for GPCR modelling in general. Due to an increase in efficacy and data handling most modellers use LINUX as operating system. To address this, a summary of most important LINUX commands with examples is presented within the book.
Modelling of Virtual Worlds Using the Internet of Things (Intelligent Data-Driven Systems and Artificial Intelligence)
by Arun Solanki Simar Preet SinghThe text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising machine learning, artificial intelligence, deep learning, robotics, cloud computing, and data mining algorithms. It further discusses concepts including multimedia for the Internet of Things, graphical modeling using emerging technologies, and securing communication with secure data transmission in the modeling of virtual worlds.This book: Discusses secure data transmission in the modeling of virtual worlds in the Internet of Things environment. Covers the integration of concepts and technical know-how about multiple technologies in visual world modeling, system configurations, and hardware issues. Explores the use of next-generation technologies such as deep learning, blockchain, and artificial intelligence in visual world modeling scenarios. Presents architectures and system models for the Internet of Things based visual world modeling systems. Provides real-time case scenarios, highlighting emerging challenges and issues. The text is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer engineering, and information technology.
Modelling the Evolution of Natural Fracture Networks: Methods for Simulating the Nucleation, Propagation and Interaction of Layer-Bound Fractures
by Michael John Welch Mikael Lüthje Simon John OldfieldThis book presents and describes an innovative method to simulate the growth of natural fractural networks in different geological environments, based on their geological history and fundamental geomechanical principles.The book develops techniques to simulate the growth and interaction of large populations of layer-bound fracture directly, based on linear elastic fracture mechanics and subcritical propagation theory. It demonstrates how to use these techniques to model the nucleation, propagation and interaction of layer-bound fractures in different orientations around large scale geological structures, based on the geological history of the structures. It also explains how to use these techniques to build more accurate discrete fracture network (DFN) models at a reasonable computational cost. These models can explain many of the properties of natural fracture networks observed in outcrops, using actual outcrop examples. Finally, the book demonstrates how it can be incorporated into flow modelling workflows using subsurface examples from the hydrocarbon and geothermal industries.Modelling the Evolution of Natural Fracture Networks will be of interest to anyone curious about understanding and predicting the evolution of complex natural fracture networks across large geological structures. It will be helpful to those modelling fluid flow through fractures, or the geomechanical impact of fracture networks, in the hydrocarbon, geothermal, CO2 sequestration, groundwater and engineering industries.
Modelling to Program: Second International Workshop, M2P 2020, Lappeenranta, Finland, March 10–12, 2020, Revised Selected Papers (Communications in Computer and Information Science #1401)
by Bernhard Thalheim Ajantha Dahanayake Oscar PastorThis book constitutes revised selected papers from the Second International Workshop on Modelling to Program, M2P 2020, held in Lappeenranta, Finland, in March 2020.The 10 papers presented were thoroughly reviewed and selected from 24 submissions. The papers provide a discussion on novel approaches to programming based on modelling approaches such as model-driven development (MDE, MDA, MDD) and conceptual-model programming and their future developments. The topics of the papers include notions of models that can be understood and used as programs, models-at-runtime, advanced conceptual modelling, conceptual-model programming, modelling foundation, transformation of models to programs, model suites/ensembles for programmers, modelling as the first step to programming and its revisions, advanced model-driven programming and software modernisation, modelling in applications.
Modelling, Analysis, and Control of Networked Dynamical Systems (Systems & Control: Foundations & Applications)
by Karl H. Johansson Ziyang Meng Tao YangThis monograph provides a comprehensive exploration of new tools for modelling, analysis, and control of networked dynamical systems. Expanding on the authors’ previous work, this volume highlights how local exchange of information and cooperation among neighboring agents can lead to emergent global behaviors in a given networked dynamical system.Divided into four sections, the first part of the book begins with some preliminaries and the general networked dynamical model that is used throughout the rest of the book. The second part focuses on synchronization of networked dynamical systems, synchronization with non-expansive dynamics, periodic solutions of networked dynamical systems, and modulus consensus of cooperative-antagonistic networks. In the third section, the authors solve control problems with input constraint, large delays, and heterogeneous dynamics. The final section of the book is devoted to applications, studying control problems of spacecraft formation flying, multi-robot rendezvous, and energy resource coordination of power networks.Modelling, Analysis, and Control of Networked Dynamical Systems will appeal to researchers and graduate students interested in control theory and its applications, particularly those working in networked control systems, multi-agent systems, and cyber-physical systems. This volume can also be used in advanced undergraduate and graduate courses on networked control systems and multi-agent systems.
Modelling, Analysis, and Simulation of Computer and Telecommunication Systems: 28th International Symposium, MASCOTS 2020, Nice, France, November 17–19, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12527)
by Erol Gelenbe Ricardo Lent Tadeusz Czachórski Maria Carla Calzarossa Krysztof GrochlaThis book constitutes the post proceedings of the 28th International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2020, held online -due to COVID -19- in Nice, France, in November 2020. The 17 full papers presented were carefully reviewed and selected from 124 submissions. The symposium collected the most relevant papers describing state-of-the-art research in the areas of the performance evaluation of computer systems and networks as well as in related areas.
Modelling, Computation and Optimization in Information Systems and Management Sciences: Proceedings of the 4th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2021 (Lecture Notes in Networks and Systems #363)
by Hoai An Le Thi Hoai Minh Le Tao Pham DinhThe proceedings consist of 34 papers which have been submitted to the 4th international conference on Modelling, Computation & Optimization in Information Systems and Management Science (MCO 2021) held on 11-13 December, 2021 at Hanoi, Vietnam. The book is composed of 3 parts: Optimization of complex systems - models and methods, Machine Learning - algorithms and applications, and Cryptography. All chapters in the books discuss theoretical and algorithmic as well as practical issues connected with modelling, computation & optimization in Information Systems and Management Science. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools & techniques for their own work.
Modelling, Simulation and Applications of Complex Systems: CoSMoS 2019, Penang, Malaysia, April 8-11, 2019 (Springer Proceedings in Mathematics & Statistics #359)
by Mohd Hafiz Mohd Md Yushalify Misro Syakila Ahmad Doanh Nguyen NgocThis 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.
Modelling, Simulation and Intelligent Computing: Proceedings of MoSICom 2020 (Lecture Notes in Electrical Engineering #659)
by Nilesh Goel Shazia Hasan V. KalaichelviThis book presents articles from the International Conference on Modelling, Simulation and Intelligent Computing (MoSICom 2020), held at Birla Institute of Technology and Science Pilani, Dubai Campus, Dubai, UAE, in January 2020. Modelling and simulation are becoming increasingly important in a wide variety of fields, from Signal, Image and Speech Processing, and Microelectronic Devices and Circuits to Intelligent Techniques, Control and Energy Systems, and Power Electronics. Further, Intelligent Computational techniques are gaining significance in interdisciplinary engineering applications, such as Robotics and Automation, Healthcare Technologies, IoT and its Applications. Featuring the latest advances in the field of engineering applications, this book serves as a definitive reference resource for researchers, professors and practitioners interested in exploring advanced techniques in the field of modelling, simulation and computing.
Models and Analysis for Distributed Systems (Wiley-iste Ser.)
by Fabrice Kordon Laurent Pautet Laure Petrucci Serge HaddadNowadays, distributed systems are increasingly present, for public software applications as well as critical systems. software applications as well as critical systems. This title and Distributed Systems: Design and Algorithms – from the same editors – introduce the underlying concepts, the associated design techniques and the related security issues. The objective of this book is to describe the state of the art of the formal methods for the analysis of distributed systems. Numerous issues remain open and are the topics of major research projects. One current research trend consists of profoundly mixing the design, modeling, verification and implementation stages. This prototyping-based approach is centered around the concept of model refinement. This book is more specifically intended for readers that wish to gain an overview of the application of formal methods in the design of distributed systems. Master’s and PhD students, as well as engineers in industry, will find a global understanding of the techniques as well as references to the most up-to-date works in this area.
Models and Methods for Interval-Valued Cooperative Games in Economic Management
by Deng-Feng LiThis book proposes several commonly used interval-valuedsolution concepts of interval-valued cooperative games with transferable utility. It thoroughly investigates these solutions,thereby establishing the properties, models, methods, and applications. Thefirst chapter proposes the interval-valued least square solutions and quadraticprogramming models, methods, and properties. Next, the satisfactory-degree-basednon-linear programming models for computing interval-valued cores andcorresponding bisection algorithm are explained. Finally, the book explores severalsimplification methods of interval-valued solutions: the interval-valued equal division and equalsurplus division values; the interval-valued Shapley, egalitarian Shapley, and discountedShapley values; the interval-valued solidarity and generalized solidarity values;and the interval-valued Banzhaf value. This book is designed for individuals fromdifferent fields and disciplines, such as decision science, game theory, managementscience, operations research, fuzzy sets or fuzzy mathematics, appliedmathematics, industrial engineering, finance, applied economics, expert system,and social economy as well as artificial intelligence. Moreover, it is suitablefor teachers, postgraduates, and researchers from different disciplines:decision analysis, management, operations research, fuzzy mathematics, fuzzysystem analysis, applied mathematics, systems engineering, project management,supply chain management, industrial engineering, applied economics, and hydrologyand water resources.
Models and Methods for Systems Engineering (Studies in Big Data #165)
by Grzegorz Borowik Grzegorz Chmaj Robert WaszkowskiThis book compiles high-quality research contributions from leading experts, providing both theoretical foundations and practical methodologies that are shaping the future of engineering systems. In an era where technological innovation drives every industry, this book offers a comprehensive exploration of cutting-edge approaches in systems optimization, artificial intelligence, and digital transformation. Divided into three distinct sections—Advanced Technologies in Control, Optimization, and Communication Systems; Artificial Intelligence, Machine Learning, and Cybersecurity; and Human-Computer Interaction, Digital Transformation, and Future Internet Technologies—this book covers a wide range of topics essential for today’s engineers and researchers. From the latest advancements in spacecraft orbit control and energy-efficient IoT data management to groundbreaking work in medical diagnostics using AI, the book delivers a diverse array of applications across industries. This book is an invaluable resource for scientists, engineers, IT specialists, and students seeking to understand the complexities and opportunities in modern systems engineering. Whether you are a researcher looking for state-of-the-art techniques or a professional seeking practical solutions for engineering challenges, this book is designed to equip you with the tools and knowledge to succeed in a rapidly evolving field. Discover how the latest models and methods in systems engineering are reshaping technology and driving innovation across industries. This essential guide is perfect for professionals in fields such as computational intelligence, control engineering, artificial intelligence, signal processing, and digital transformation. It also serves as a robust reference for academic researchers, and students involved in engineering and applied science disciplines.
Models for Cooperative Games with Fuzzy Relations among the Agents: Fuzzy Communication, Proximity Relation and Fuzzy Permission (Studies in Fuzziness and Soft Computing #355)
by Andrés Jiménez-LosadaThis book offers a comprehensive introduction to cooperative game theory and a practice-oriented reference guide to new models and tools for studying bilateral fuzzy relations among several agents or players. It introduces the reader to several fuzzy models, each of which is first analyzed in the context of classical games (crisp games) and subsequently in the context of fuzzy games. Special emphasis is given to the value of Shapley, which is presented for the first time in the context of fuzzy games.Students and researchers will find here a self-contained reference guide to cooperative fuzzy games, characterized by a wealth of examples, descriptions of a wide range of possible situations, step-by-step explanations of the basic mathematical concepts involved, and easy-to-follow information on axioms and properties.
Models for Data Analysis: SIS 2018, Palermo, Italy, June 20–22 (Springer Proceedings in Mathematics & Statistics #402)
by Eugenio Brentari Marcello Chiodi Ernst-Jan Camiel WitThe 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants. There were plenary sessions as well as specialized and solicited and contributed sessions.This volume collects a selection of twenty extended contributions covering a wide area of applied and theoretical issues, according to the modern trends in statistical sciences. Only to mention some topics, there are papers on modern textual analysis, sensorial analysis, social inequalities, themes on demography, modern modeling of functional data and high dimensional data, and many other topics.This volume is addressed to academics, PhD students, professionals and researchers in applied and theoretical statistical models for data analysis.
Models for Intercultural Collaboration and Negotiation
by Michele Gelfand Katia Sycara Allison AbbeThis book is the first to bring together research material from different communities, Computer Science and especially Artificial Intelligence, and Social Sciences, e.g. Anthropology, Social Psychology, Political Science that present ideas and viewpoints, methods and models on inter-cultural collaboration and negotiation. With increasing globalization of business and science, cultural differences of the parties are an important factor that affects the process and outcomes of collaborative and self-interested interactions. The social science literature on culture as well as human collaboration and negotiation is vast. Most of this literature is devoted to work within the same culture. Artificial intelligence researchers, on the other hand, have developed computational models of cooperation, conflict resolution and negotiation, but paying almost no attention to identifying and modeling cultural factors. In recent years, we have witnessed a great increase in interest in understanding inter-cultural interactions. This has led to increased interest of social scientists and computational scientists in theoretical and experimental analysis of inter-cultural exchanges, modeling and support. Currently, these communities are largely unconnected. There is a great need to bring them together to share research work and experiences, discuss ideas and forge interdisciplinary collaborative relations. This book will be of interest to researchers from AI/computer science and social/behavioral sciences fields, such as psychology, sociology, communications, organizational science.
Models for Research and Understanding: Exploring Dynamic Systems, Unconventional Approaches, and Applications (Simulation Foundations, Methods and Applications)
by Stanislaw RaczynskiThis introductory textbook/reference addresses the fundamental and mostly applied kinds of models. The focus is on models of dynamic systems that move and change over time. However, the work also proposes new methods of uncertainty treatment, offering supporting examples.Topics and features: Chapters suitable for textbook use in teaching modeling and simulationIncludes sections of questions and answers, helpful in didactic workProposes new methodology in addition to examining conventional approachesOffers some cognitive, more abstract models to give a wider insight on model building The book’s readership may consist of researchers working on multidisciplinary problems, as well educators and students. It may be used while teaching computer simulation, applied mathematics, system analysis and system dynamics.