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Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelligent" ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantum particles. This book, on the other hand, examines the modeling of living systems as opposed to inert systems.The author develops new mathematical methods and tools—hopefully a "new" mathematics—toward the modeling of living systems. Such tools need to be far more complex than those dealing with systems of inert matter. The first part of the book deals with deriving general evolution equations that can be customized to particular systems of interest in the applied sciences. The second part of the book deals with various models and applications. The presentation unfolds using the following common approach in each chapter:* Phenomenological interpretation of the physical system in the context of mathematical modeling* Derivation of the mathematical model using methods from mathematical kinetic theory for active particles* Simulations, parameter sensitivity analysis, and critical inspection of the derived model towards validation* Overview of presented ideas to improve existing models, with special emphasis on applicationsSpecific topics covered include:* Modeling of the competition between cells of an aggressive invasive agent and cells of the immune system* Modeling of vehicular traffic flow* Modeling of swarms and crowd dynamics in complex geometric environments* Methodological aspects related to multiscale modeling of large systems viewed as interconnected subsystemsModeling Complex Living Systems is a valuable resource for applied mathematicians, engineers, physicists, biologists, economists, and graduate students involved in modeling complex social systems and living matter in general. ... Read more

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This book focuses on the research topics investigated during the three-year research project funded by the Italian Ministero dell Istruzione, dell Università e della Ricerca (MIUR: Ministry of Education, University and Research) under the FIRB project RBNE01CW3M. With the aim of introducing newer perspectives of the research on complexity, the final results of the project are presented after a general introduction to the subject. The book is intended to provide researchers, PhD students, and people involved in research projects in companies with the basic fundamentals of complex systems and the advanced project results recently obtained.

Contents: The CNN Paradigm for Complexity; Emergent Phenomena in Neuroscience; Frequency Analysis and Identification in Atomic Force Microscopy; Control and Parameter Estimation of Systems with Low-Dimensional Chaos -- The Role of Peak-to-Peak Dynamics; Synchronization of Complex Networks; Economic Sector Identification in a Set of Stocks Traded at the New York Exchange: A Comparative Analysis; Innovation Systems by Nonlinear Networks. ... Read more

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Corporations across the globe are increasingly considering the importance of user experience and business process design in creation of Web information systems.

Designing Complex Web Information Systems: Integrating Evolutionary Process Engineering provides an overview of modern Web application technologies useful to business designers. Containing advanced findings from across the globe, this Premier Reference Source presents cutting-edge research on user experience design methodologies and the design of business processes. ... Read more

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This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks. ... Read more

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The recurrent collapse of human societies is a topic that is at once both fascinating and potentially troubling, and this edited volume offers some new thoughts on this important subject. The introduction discusses the topic at a theoretical level, and references a variety of cases (both past and present) from around the globe to illustrate various conditions and circumstances under which collapse and transformation occur. Nine chapters present specific studies from Iron Age central Europe, the Nilgiri Hills of south India, the early Bronze Age of north-central China, Maori New Zealand, Peru (Moche, Nasca, and the Chiribaya chiefdom of the south coast), late prehistoric and early historic Amazonia and the Caribbean, and the Cahokia chiefdom of eastern North America. With its global scope and diversity of case studies, the book expands our understanding of the various dimensions and historical circumstances faced by human societies that ultimately failed. ... Read more

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Agent-based modeling/simulation is an emergent approach to the analysis of social and economic systems. It provides a bottom-up experimental method to be applied to social sciences such as economics, management, sociology, and politics as well as some engineering fields dealing with social activities. This book includes selected papers presented at the Sixth International Workshop on Agent-Based Approaches in Economic and Social Complex Systems held in Taipei in 2009. We have 39 presentations in the conference, and 14 papers are selected to be included in this volume. These 14 papers are then grouped into six parts: Agent-based financial markets; Financial forecasting and investment; Cognitive modeling of agents; Complexity and policy analysis; Agent-based modeling of good societies; and Miscellany. The research presented here shows the state of the art in this rapidly growing field. ... Read more

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There are many books on project management and many on embedded systems, but few address the project management of embedded products from concept to production. Project Management of Complex and Embedded Systems: Ensuring Product Integrity and Program Quality uses proven Project Management methods, as well as elements of IEEE embedded software development techniques, to explain how to deliver a reliable complex system to market.

Walks managers through the stages of a project’s life cycle so that they can anticipate and prepare for potential problems

This volume begins with a general discussion of project management, followed by an examination of the various tools used before a project is underway. The book then delves into the specific project stages: concept, product development, process development, validation of the product and process, and release to production. Finally, post-project stages are explored, including failure reporting, analysis, corrective actions, and product support.

The book draws heavily on information from Department of Defense sources as well as systems developed by the Automotive Industry Action Group (AIAG), General Motors, Chrysler, and Ford to standardize the approach to designing and developing new products. These automotive development and production ideas have universal value, particularly the concept of process and design controls.

The authors use these systems to explain project management techniques that can assist developers of any embedded system. The methods explored can be adapted toward mechanical development projects as well.

The text includes numerous “war stories”offering concrete solutions to problems that might occur in production. Tables and illustrative figures are provided to further clarify the material. Organized sequentially to follow the normal life cycle of a project, this book helps project managers identify challenges before they become problems and resolve those issues that cannot be avoided. ... Read more

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Genetic Programming II extends the results of John Koza'sground-breaking work on programming by means of natural selection,described in his first book, Genetic Programming. Using a hierarchicalapproach, Koza shows that complex problems can be solved by breakingthem down into smaller, simpler problems using the recently developedtechnique of automatic function definition in the context of geneticprogramming. Where conventional techniques of machine learning andartificial intelligence fail to provide an effective means forautomatically handling the process of decomposing complex problems intosmaller subsets, reassembling the solutions to these subsets, andapplying an overall solution to the original problem, automatic functiondefinition enables genetic programming to define useful and reusablesubroutines dynamically. Koza illustrates this new technique by showinghow it solves (or approximately solves) a variety of problems in Booleanfunction learning, symbolic regression, control, pattern recognition,robotics, classification, and molecular biology. In each example, theproblem is automatically decomposed into subproblems; the subproblemsare automatically solved; and the solutions to the subproblems areautomatically assembled into a solution to the original problem. Kozashows that leverage accrues because genetic programming with automaticfunction definition repeatedly uses the solutions to the subproblems inthe assembly of the solution to the overall problem. Moreover, geneticprogramming with automatic function definition produces solutions thatare simpler and smaller than the solution obtained without automaticfunction definition. ... Read more

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Complex Nonlinearity: Chaos, Phase Transitions, Topology Change and Path Integrals is a book about prediction & control of general nonlinear and chaotic dynamics of high-dimensional complex systems of various physical and non-physical nature and their underpinning geometro-topological change.

The book starts with a textbook-like expose on nonlinear dynamics, attractors and chaos, both temporal and spatio-temporal, including modern techniques of chaos–control. Chapter 2 turns to the edge of chaos, in the form of phase transitions (equilibrium and non-equilibrium, oscillatory, fractal and noise-induced), as well as the related field of synergetics. While the natural stage for linear dynamics comprises of flat, Euclidean geometry (with the corresponding calculation tools from linear algebra and analysis), the natural stage for nonlinear dynamics is curved, Riemannian geometry (with the corresponding tools from nonlinear, tensor algebra and analysis). The extreme nonlinearity – chaos – corresponds to the topology change of this curved geometrical stage, usually called configuration manifold. Chapter 3 elaborates on geometry and topology change in relation with complex nonlinearity and chaos. Chapter 4 develops general nonlinear dynamics, continuous and discrete, deterministic and stochastic, in the unique form of path integrals and their action-amplitude formalism. This most natural framework for representing both phase transitions and topology change starts with Feynman’s sum over histories, to be quickly generalized into the sum over geometries and topologies. The last Chapter puts all the previously developed techniques together and presents the unified form of complex nonlinearity. Here we have chaos, phase transitions, geometrical dynamics and topology change, all working together in the form of path integrals.

The objective of this book is to provide a serious reader with a serious scientific tool that will enable them to actually perform a competitive research in modern complex nonlinearity. It includes a comprehensive bibliography on the subject and a detailed index. Target readership includes all researchers and students of complex nonlinear systems (in physics, mathematics, engineering, chemistry, biology, psychology, sociology, economics, medicine, etc.), working both in industry/clinics and academia.

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This book/CD-ROM package uses the Mathematica programming language to demonstrate the use of computer simulation as a research tool in all of the sciences, providing materials for students and professionals in such fields as physics, biology, chemistry, ecology, materials science and urban planning. The use of MathLink and "C" programs allow readers to run the most time and memory intensive algorithms through a C-compiler on a local machine. Only a minimal background in Mathematica programming is assumed. Self-contained explanations of the Mathematica and the use of MathLink are given in the Appendices. Equal emphasis is placed on the development of efficient Mathematica programs and on the visualization and numerical analysis of computer simulation results. ... Read more

Customer Reviews (2)

The Book To Buy When Modeling Cellular Automata
This is the book to buy if you want to build and run the Cellular Automata pioneered by Stephen Wolfram (inventor of "Mathematica" the absolute best math software and more).Like most of us who have been waiting for more than a decade for Wolfram to finish his opus magnum "A New Kind of Science" (available for pre-ordering here on Amazon.com), one can get a little tired of waiting and want to run some of the sterling images sneak pre-viewed on his WEB site to gain some of the same insights he has been gathering since first discovering this phenomenon in the early '80's.I first bought Gaylord's later book; "Modeling Nature",(also available here on Amazon.com)thinking that would be the definitive guide to actually programming and running the simulations on "Mathematica."It's a great book and has many good examples of other kinds of modeling software but not the kind we are interested in, his "ElementaryRules" for these [very] particular 1-Dimensional Cellular Automata.Buy it, program them, run them, view them, and forever have the way you view the world change!

{short, nonsense-free, systematic, self-contained}->ELEGANT
How does the algorithmic approach work diffently from the equationalapproach?Gaylord/Wellin's neat book demostrates that.In cases of thepresence of technical difficulties and the absence of the representabilityin terms of equations, thealgorithmic approach is gainning more and moresignificance and enjoys a promising future. The book covers both theprobabilistic systems and cellular automata. Wide-reaching 14 physical andbiological systems are presented to suit various readers' tastes. [It wouldbe a plus if in 2nd edition, the economic systems are EXPLICITLY included,although the authors did put some, say, the random walk model, in thebook.]Each chapter is short [thus, time-saving for self-study],nonsense-free,systematic, and self-contained.It starts from step-by-stepcode fragments, to theintegration of parts into a elegant program. Then,it was wrapped up with the numerical analysis and visualization both togive a feel of the performance of the model and to blow in a strand ofbreeze in our sometimes dry computer programming work. [Hopefully in nextedition the sample solutions to the end-of-chapter computer projects willbe added.] Appendix A and B on MATHEMATICA programming and random numbergenerators concentrate on a few essential points [rather than oneverything] and the authors delivered them effectively.In a nutshell,if you're interested in simulation and if you'd like to use MATHEMATICA, Irecommend this superb book by Gaylord/Wellin. ... Read more

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The Economy as an Evolving System II will fascinate economists of all types. ... Read more

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"Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today.

Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations.

Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results." ... Read more

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Software is free
Sorry Larry for the lack of response. Such is the life-cycle of free software. However, finally a new downloadable software package which supports recent Windows releases is available from HERE.

Modeling for Reliability Analysis
1. Book is for new complex computer systems. However I use in support of an aging Naval Aviation Aircraft ( A/C ). I am no mathematician, however with my trusty ERA books on Calculus, Statistics, and Vector Calculus, I was able to " tread the waters ". I have performed many, many Reliability & Support Analysis, and CARMS provides another very usefull tool. Math majors should have no difficulty with the subject matter, however applying this is the high light of the book;
2. I have been very unsucessfull in trying to reach the authors to make recommendations on the next revision. I request assistance, and will leave my employment phone number below. Thanks.

V/R,
Larry Tyson///904-542-5454X122P-3C FST-6 ( Avionics ) NADEP Jacksonville, Fl.
... Read more

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Is it functional? Is it safe? Is it rigorous? Is it detrimental? Over the last two decades Test and Evaluation (T&E) techniques have evolved in response to the increasing complexity and interdependency of systems. The safe and proper operation of the complex systems and consumer products used in energy, transportation, electronics and communications, can no longer be realized without a formalized T&E program. Features include:

• Easy-to-understand guide to the seven Best Practices for planning an effective T&E program
• A useful model of the T&E Engineering process
• T&E of computer programs, Modelling and Simulation, Operational T&E and Interoperability T&E
• Case studies from both governmental and commercial sectors
• T&E resources world-wide including the addresses of local T&E chapters

Customer Reviews (1)

Great but expensive
This was great since it was the text book for my class.It had some interesting stuff in it.However I wanted to purchase it used.According to my class mates, Amazon must have hid the used text book information from me.They claimed they were able to purchase it used and there were more copies I could have purchased ... Read more

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"This delightful book illustrates beautifully the paradigm shift inphysics from writing equations and solving them to computer modeling andexperimentation." -- Greg Chaitin, author of The Limits ofMathematics

In this book Gary William Flake develops in depth the simple idea thatrecurrent rules can produce rich and complicated behaviors.Distinguishing "agents" (e.g., molecules, cells, animals, and species)from their interactions (e.g., chemical reactions, immune systemresponses, sexual reproduction, and evolution), Flake argues that it isthe computational properties of interactions that account for much ofwhat we think of as "beautiful" and "interesting." From this basicthesis, Flake explores what he considers to be today's four mostinteresting computational topics: fractals, chaos, complex systems, andadaptation.

Each of the book's parts can be read independently, enabling even thecasual reader to understand and work with the basic equations andprograms. Yet the parts are bound together by the theme of the computeras a laboratory and a metaphor for understanding the universe. Theinspired reader will experiment further with the ideas presented tocreate fractal landscapes, chaotic systems, artificial life forms,genetic algorithms, and artificial neural networks. ... Read more

Customer Reviews (17)

Not fun
Your eyes will glaze over. Fascinating subjects, but I don't feel they were explained very well.

A Waaaay Cool Book!
IMHO this book should be part of every US high school or undergradate Science/Math curriculum, and would be worth twice the price.The author's enthusiasm is infectious, his writing style very clear, and his material well cited.He also maintains a website with free software downloads that illustrate the many mind expanding (w/o drugs! (-:) concepts discussed. Although thanks to magazines like Wired (minus its aggressive leftist politics and more aggressive BB censoring)the sciences have become "cooler." Nevertheless, there is still A LOT of work to do, and damage to be undone, from academically inferior and unenthusiastic so called math/science "teachers" in US schools. I don't usually rate books five stars, but I am rating this one a big FIVE stars.

An enjoyable read
Granted you can find most of this info elsewhere but still this is a great read. Well written, a nice collection of material, and downloadable source code. I found it to be a very inspiring book.

Great book
This is an excellent book.I've been reading it for weeks.The chapters are not long, but the content is amazing. The author combines explanations and equations in a format that is demonstrative and repeatible.This is a very good book to study yielding the understanding necessary to penetrate many other advanced books on complexity theory. The author starts by examining whole numbers and real number problems.Next, he examine Godel's incomplete theory of predicate logic showing that no formal language is complete.Next, he examines fractals, self-similar patterns, low ordered with high compression and high order with low order compression, L-systems, and Juliet and Mandel-brot fractals. Fractals open up an emmense study into the complex pattern from simple rules and recursion. Next, he examines equations of strange attraction, chaos, and demonstrates stability behavior within complexity. Next, he looks at small universes created by running CA.NNs and GAs are examined in the last chapter. I was excited to write down many of the authors processes and run them using OpenGL and C.I believe this book to be an excellent book for college students. The material is easy to understand and the content very demonstratible.Cause and effect are very cohesive in this book.Even though the book seems simple, it covers an vast amount of topics necessary to understanding AI and AL.

Good first book on the subject of simulating natural phenomena
This is a good introductory textbook for college undergraduate mathematics and computer science students that attempts to combine the theory of computation with some mathematical concepts and in the end, manages to model virtual life by explaining basic concepts in chaos, adaptation, fractals, and complex systems. There are better books on all of these subjects, but few others do such a good job of tying together key concepts from each discipline into the one theme of this book. However, there is only enough room to outline the included subjects rather than investigate them thoroughly.

Also, the mathematics is elementary enough to be accessible to a mathematically mature high school student. The mathematics is concisely explained as it is needed, with just a page or two for each of calculus, linear algebra, affine transformations, complex numbers, vector calculus, and matrix algebra. Thus, the included mathematics makes a better refresher than a tutorial for the novice even though the author states in the preface that he wrote this book for a younger version of himself. This book teaches its subject matter mainly by demonstrating concepts through simulations that are expressed in dozens of programs which illustrate the points being made. Instructions on using the programs are scattered throughout the book. The source code is available for download on the web, along with selected excerpts from the book.

I would recommend this as a first book for those interested in simulating natural concepts, but it should not be your last if your goal is to truly grasp the concepts presented and produce simulations of your own. However, an even better book on this subject is "Mathematical Models in Biology", although it is an advanced text. A very accessible book that is also more advanced than this text is "Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry and Engineering". It clearly explains the mathematics while tying it into key concepts in nature. "Chaos and Fractals" by Peitgen is a good book on the subject for the layperson with a fascination for mathematics presented in some depth. The book also has various Java programs that illustrate key concepts. ... Read more

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In Molecular Thermodynamics of Complex Systems, the chapter authors critically examine not only the current state of the art in chemical research into structure and bonding, but also look at the direction the subject might take as it develops in future years.

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Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena describes the use of cellular automata to provide important insights into a vast range of physical, biological, social, economic and psychological phenomena.This book presents contemporary research on discrete dynamical systems such as one-dimensional and two-dimensional cellular automata and outlines how these systems can be exploited for artistic purposes, translating their mathematical configurations into music and visual media. ... Read more

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The physics and mathematics of nonlinear dynamics, chaotic and complex systems constitute some of the most fascinating developments of late-twentieth-century science. Universal constants in chaotic behavior have been discovered, changing our understanding of important phenomena in such fields as physics, biology, chemistry, economics, and medicine. In this book, two dozen scientists and mathematicians who were deeply involved in the "nonlinear revolution" cover most of the basic aspects of the field.The book is divided into five parts: dynamical systems, bifurcation theory and chaos; spatially extended systems; dynamical chaos, quantum physics and the foundations of statistical mechanics; evolutionary and cognitive systems; and complex systems as an interface between the sciences. ... Read more

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Indispensable to Graduate Students!
"A pleasure for a mathematican, this volume will be indispensable to graduate students and research mathematicians interested in complex analysis, PDE, and dynamical systems. They can do no better than turn to this excellent book. ... This is a great, highly engaging book. I have no doubt this book will become a staple in complex analysis and dynamical systems. ... it will stretch your mind."

-- Current Engineering Practice

... Read more

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This festschrift volume pays tribute to Hidenori Kimura and his outstanding achievements in control theory, signal processing, and modeling. The 20 invited contributions presented here are an outgrowth of a symposium held in November 2001 in Tokyo, Japan, celebrating Kimura's 60th birthday. Reflecting his recent research interests, the symposium was entitled "Cybernetics in the 21st Century: Information and Complexity in Control Theory."

The chapters are classified into five main areas related to Kimura's work: signal processing, identification, robust control, hybrid, chaotic and nonlinear systems, and control applications. Many of the contributions highlight real-world and industrial applications.

Graduate students and researchers will benefit from the many new results and insights as to where control theory is heading in the 21st century.

Contributors:

S. AdachiB.D.O. AndersonX. BomboisC.I. ByrnesJ. ChenH. DateT.T. GeorgiouL. GuoS.H. HanS. HaraK. HashimotoJ. ImuraM. IshikawaT. IwasakiR.L. KarandikarW.H. KwonA. LindquistM. MilaneseT. MitaM. NagaharaS. NakauraT. K. NamA. NamikiY. OishiM. SampeiT. SugieM. TaragnaM. TomizukaK. TsumuraT. UshioM. VidyasagarS. YamamotoY. Yamamoto ... Read more