These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This tenth issue contains 13 carefully selected and thoroughly revised contributions.

As the cost of developing new semiconductor technology at ever higher bit/gate densities continues to grow, the value of using accurate TCAD simu lation tools for design and development becomes more and more of a necessity to compete in today's business. The ability to tradeoff wafer starts in an advanced piloting facility for simulation analysis and optimization utilizing a "virtual fab" S/W tool set is a clear economical asset for any semiconductor development company. Consequently, development of more sophisticated, accurate, physics-based, and easy-to-use device and process modeling tools will receive continuing attention over the coming years. The cost of maintaining and paying for one's own internal modeling tool development effort, however, has caused many semiconductor development companies to consider replacing some or all of their internal tool development effort with the purchase of vendor modeling tools. While some (noteably larger) companies have insisted on maintaining their own internal modeling tool development organization, others have elected to depend totally on the tools offered by the TCAD vendors and have consequently reduced their mod eling staffs to a bare minimal support function. Others are seeking to combine the best of their internally developed tool suite with "robust," "proven" tools provided by the vendors, hoping to achieve a certain synergy as well as savings through this approach. In the following sections we describe IBM's internally developed suite of TCAD modeling tools and show several applications of the use of these tools."

The Dawn of Massively Parallel Processing in Meteorology presents collected papers of the third workshop on this topic held at the European Centre of Medium-Range Weather Forecasts (ECMWF). It provides an insight into the state of the art in using parallel processors operationally, and allows extrapolation to other time-critical applications. It also documents the advent of massively parallel systems to cope with these applications.

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Workshop on Multi-Agent-Based Simulation, MABS 2012, held in Valencia, Spain, in June 2012. The 11 revised full papers presented were carefully selected from 35 submissions. The papers are organized in topical sections on modeling social interactions; cognition and agents behaviors; agents, games and finance; and methodologies and tools.

Astronomers learn much of what they know about the mass, brightness, and size of stars by observing binary systems, in which two stars orbit each other, periodically cutting off the others light. This book provides astronomers with a guide to specifying an astrophysical model for a set of observations, selecting an algorithm to determine the parameters of the model, and estimating the errors of the parameters.

Historically, one of the basic issues in control systems design has been robustness: the ability of a controlled plant to withstand variations in or lack of knowledge of its dynamics. Even if the dynamics of a system are accurately known for purposes of implementation, it is often desirable to design a control system based on a simplified model. Consequently it is essential to be able to guarantee a reasonable performance not only for the nominal plant, but also for its neighbouring perturbations: this is the issue of robustness. Since the beginning of this decade major advances have been made in this area, notably using the H -approach; this term is meant to cover the solution of sensitivity reduction, approximation and model reduction, robustness and related control design problems using the mathematics of Hardy spaces and related areas in Harmonic Analysis. This book contains the proceedings of the NATO Advanced Research Workshop on "Modelling, Robustness and Sensitivity Reduction in Control Systems," which was held at the University of Groningen, December 1986. Its aim was to explore the development of H -design techniques and its ramifications in Systems Theory in a unified and systematic way with the emphasis on recent advances and future directions in this fast developing area. In particular the following inter-related aspects were addressed: H -mathematical foundations, model approximation and robustness in control design, optimal sensitivity reduction, modelling and system identification and signal processing.

This book contains the refereed proceedings of the International Conference on Modeling and Simulation in Engineering, Economics, and Management, MS 2013, held in Castellon de la Plana, Spain, in June 2013. The event was co-organized by the AMSE Association and the SoGReS Research Group of the Jaume I University. This edition of the conference paid special attention to modeling and simulation in diverse fields of business management.

The 28 full papers in this book were carefully reviewed and selected from 65 submissions. They are organized in topical sections on: modeling and simulation in CSR and sustainable development; modeling and simulation in finance and accounting; modeling and simulation in management and marketing; modeling and simulation in economics and politics; knowledge-based expert and decision support systems; and modeling and simulation in engineering.

Bivalve filter-feeding mollusks are important components of coastal ecosystems because they remove large quantities of suspended material from the water and excrete abundant amounts of reactive nutrients. These animals are also major prey for numerous predators including birds, fish, mammals, and invertebrates; furthermore, they are significant food resources for humans. While studies on the organismic and population level have dominated bivalve ecology, the recent focus on the ecosystem roles of filter feeding systems has led to larger-scale investigations. With this approach the specific topics of physiology, grazing, predation, nutrient cycling, physical environment, computer simulation modeling, and environmental management are combined into a meaningful whole.

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Model-Based Methodologies for Pervasive and Embedded Software, MOMPES 2012, held in Essen, Germany, in September 2012. The 7 revised full papers presented together with 1 short papers were carefully reviewed and selected from 16 submissions. The papers cover a large spectrum of topics including model-driven engineering, model analysis, runtime verification, modeling of reactive systems, variability modeling, and domain-specific languages.

In order to capture the essential features of computer graphics, fundamental methods, concepts, and techniques have been integrated into generalized models through a process known as "modeling." This volume outlines the progress made in computer graphic modeling and presents previously unpublished results and surveys which will help readers better understand the concepts and applications of this fascinating subject.

This volume contains papers representing a comprehensive record of the contributions to the fifth workshop at EG '90 in Lausanne. The Eurographics hardware workshops have now become an established forum for the exchange of information about the latest developments in this field of growing importance. The first workshop took place during EG '86 in Lisbon. All participants considered this to be a very rewarding event to be repeated at future EG conferences. This view was reinforced at the EG '87 Hardware Workshop in Amsterdam and firmly established the need for such a colloquium in this specialist area within the annual EG conference. The third EG Hardware Workshop took place in Nice in 1988 and the fourth in Hamburg at EG '89. The first part of the book is devoted to rendering machines. The papers in this part address techniques for accelerating the rendering of images and efficient ways of improv ing their quality. The second part on ray tracing describes algorithms and architectures for producing photorealistic images, with emphasis on ways of reducing the time for this computationally intensive task. The third part on visualization systems covers a num ber of topics, including voxel-based systems, radiosity, animation and special rendering techniques. The contributions show that there is flourishing activity in the development of new algorithmic and architectural ideas and, in particular, in absorbing the impact of VLSI technology. The increasing diversity of applications encourage new solutions, and graphics hardware has become a research area of high activity and importance.

The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.

Intelligent robotics has become the focus of extensive research activity. This effort has been motivated by the wide variety of applications that can benefit from the developments. These applications often involve mobile robots, multiple robots working and interacting in the same work area, and operations in hazardous environments like nuclear power plants. Applications in the consumer and service sectors are also attracting interest. These applications have highlighted the importance of performance, safety, reliability, and fault tolerance. This volume is a selection of papers from a NATO Advanced Study Institute held in July 1989 with a focus on active perception and robot vision. The papers deal with such issues as motion understanding, 3-D data analysis, error minimization, object and environment modeling, object detection and recognition, parallel and real-time vision, and data fusion. The paradigm underlying the papers is that robotic systems require repeated and hierarchical application of the perception-planning-action cycle. The primary focus of the papers is the perception part of the cycle. Issues related to complete implementations are also discussed.

Scientific visualization is a new and rapidly growing area in which efforts from computer graphics research and many scientific and engineering disciplines are integrated. Its aim is to enhance interpretation and understanding by scientists of large amounts of data from measurements or complex computer simulations, using computer generated images and animation sequences. It exploits the power of human visual perception to identify trends and structures, and recognize shapes and patterns. Development of new numerical simulation methods in many areas increasingly depends on visualization as an effective way to obtain an intuitive understanding of a problem. This book contains a selection of papers presented at the second Eurographics workshop on Visualization in Scientific Computing, held in Delft, the Netherlands, in April 1991. Theissues addressed are visualization tool and system design, new presentation techniques for volume data and vector fields, and numerous case studies in scientific visualization. Application areas include geology, medicine, fluid dynamics, molecular science, and environmental protection. The book will interest researchers and students in computer graphics and scientists from many disciplines interested in recent results in visual data analysis and presentation. It reflects the state of the art in visualization research and shows a wide variety of experimental systems and imaginative applications.

Since its very existence as a separate field within computer science, computer graphics had to make extensive use of non-trivial mathematics, for example, projective geometry, solid modelling, and approximation theory. This interplay of mathematics and computer science is exciting, but also makes it difficult for students and researchers to assimilate or maintain a view of the necessary mathematics. The possibilities offered by an interdisciplinary approach are still not fully utilized. This book gives a selection of contributions to a workshop held near Genoa, Italy, in October 1991, where a group of mathematicians and computer scientists gathered to explore ways of extending the cooperation between mathematics and computer graphics.

In October of 1992 an assembly of researchers in simulation and computer models for instruction convened in Bonas, France, to learn from one another in a non-automated environment. The event was the Advanced Research Workshop entitled The Use of Computer Models for Explication, Analysis, and Experiential Learning. Sponsored by the Scientific Affairs Division of NATO, this workshop brought together 29 leading experts in the field loosely described as instruction and learning in simulation environments. The three-day workshop was organized in a manner to maximize exchange of knowledge, of beliefs, and of issues. The participants came from six countries with experiences to share, with opinions to voice, and with questions to explore. Starting some weeks prior to the workshop, the exchange included presentation of the scientific papers, discussions immediately following each presentation, and informal discussions outside the scheduled meeting times. Naturally, the character and content of the workshop was determined by the backgrounds and interests of the participants. One objective in drawing together these particular specialists was to achieve a congress with coherent diversity, i.e., we sought individuals who could view an emerging area from different perspectives yet had produced work of interest to many. Major topic areas included theories of instruction being developed or tested, use of multiple domain models to enhance understanding, experiential learning environments, modelling diagnostic environments, tools for authoring complex models, and case studies from industry.

These Transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks and multiagent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eighth issue contains a collection of ten carefully selected and thorougly revised contributions.

This book is a comprehensive and accessible introduction to the cross-entropy (CE) method. The CE method started life around 1997 when the first author proposed an adaptive algorithm for rare-event simulation using a cross-entropy minimization technique. It was soon realized that the underlying ideas had a much wider range of application than just in rare-event simulation; they could be readily adapted to tackle quite general combinatorial and multi-extremal optimization problems, including many problems associated with the field of learning algorithms and neural computation. The book is based on an advanced undergraduate course on the CE method, given at the Israel Institute of Technology (Technion) for the last three years. It is aimed at a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist or practitioner, who is interested in smart simulation, fast optimization, learning algorithms, image processing, etc. Our aim was to write a book on the CE method which was accessible to advanced undergraduate students and engineers who simply want to apply the CE method in their work, while at the same time accentu ating the unifying and novel mathematical ideas behind the CE method, so as to stimulate further research at a postgraduate level."

Most industrial robots today have little or no sensory capability. Feedback is limited to information about joint positions, combined with a few interlock and timing signals. These robots can function only in an environment where the objects to be manipulated are precisely located in the proper position for the robot to grasp (i. e. , in a structured environment). For many present industrial applications, this level of performance has been adequate. With the increasing demand for high performance sensor-based robot manipulators in assembly tasks, meeting this demand and challenge can only be achieved through the consideration of: 1) efficient acquisition and processing of intemaVextemal sensory information, 2) utilization and integration of sensory information from various sensors (tactile, force, and vision) to acquire knowledge in a changing environment, 3) exploitation of inherent robotic parallel algorithms and efficient VLSI architectures for robotic computations, and finally 4) system integration into a working and functioning robotic system. This is the intent of the Workshop on Sensor-Based Robots: Algorithms and Architectures - to study the fundamental research issues and problems associated with sensor-based robot manipulators and to propose approaches and solutions from various viewpoints in improving present day robot manipula tors in the areas of sensor fusion and integration, sensory information processing, and parallel algorithms and architectures for robotic computations.

This volume contains a series of papers originally presented at a NATO Advanced Research Workshop (ARW) entitled Kinematic and Dynamic Issues in Sensor Based Control. The workshop, one of a series concerned with topics in sensory robotics, took place at II Ciocco, Castelvecchio di Pascoli, Italy in October 1987. Attendance was by invitation only and the majority of participants are recognised leaders in their field- some from the robotics community, others with a more general control background. The main topics of interest were grouped into eight sessions represented by the eight main sections of the book: 1: Modelling Techniques: General Kinematic and Dynamic Issues 2: Sensor Signal Processing 3: Force Control 4: Further Control Topics 5: Vision Based Control 6: Further Kinematic and Dynamic Issues 7: Computational Issues 8: Learning from Sensor Input Also included are brief reports of the roundtable discussions which sought to determine important future directions of research in this area. My thanks to all those who made the workshop possible: The NATO Scientific Affairs Division and the panel on Sensory Systems for Robotic Control who provided most of the financial support; the workshop committee, Dr. B. Espiau, Dr. P. Coiffet, Dr. P.

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computing methods, new applications, new philosophies . . . , new challenges. Much of the development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The potentially devastating effect of an operator making the wrong decision in the control of a highly automated system or process is well known. However as even more large-scale automated systems become likely, for example automated highways for cars, it is increasingly important to be able to assess the safety of these mixed or joint systems. Carlo Cacciabue's monograph on the modelling and simulation of these mixed processes of technological systems and human operators is extremely timely. The monograph provides an up-to-date and systematic presentation of the basic concepts and tools needed. This comprehensive coverage of the subject also includes a review of the last twenty years of research effort in the field.

Visualization in scientific computing is getting more and more attention from many people. Especially in relation with the fast increase of com puting power, graphic tools are required in many cases for interpreting and presenting the results of various simulations, or for analyzing physical phenomena. The Eurographics Working Group on Visualization in Scientific Com puting has therefore organized a first workshop at Electricite de France (Clamart) in cooperation with ONERA (Chatillon). A wide range of pa pers were selected in order to cover most of the topics of interest for the members of the group, for this first edition, and 26 of them were presented in two days. Subsequently 18 papers were selected for this volume. 1'he presentations were organized in eight small sessions, in addition to discussions in small subgroups. The first two sessions were dedicated to the specific needs for visualization in computational sciences: the need for graphics support in large computing centres and high performance net works, needs of research and education in universities and academic cen tres, and the need for effective and efficient ways of integrating numerical computations or experimental data and graphics. Three of those papers are in Part I of this book. The third session discussed the importance and difficulties of using stan dards in visualization software, and was related to the fourth session where some reference models and distributed graphics systems were discussed. Part II has five papers from these sessions.

Bondgraphs are a powerful tool in the simulation of mechanical, hydraulic, electric and thermal systems. They are used to represent engineering systems in written form by means of letter elements and their interconnections, called bonds, instead of in the form of numerous equations. They may be used to increase the efficiency of new product design. This book introduces the reader to bondgraphs and their use on PCs. A broad variety of applications of this method in the simulation of the above systems is presented. Twenty fully worked examples complement the presentation.

With the advent of digital computers more than half a century ago, - searchers working in a wide range of scienti?c disciplines have obtained an extremely powerful tool to pursue deep understanding of natural processes in physical, chemical, and biological systems. Computers pose a great ch- lenge to mathematical sciences, as the range of phenomena available for rigorous mathematical analysis has been enormously expanded, demanding the development of a new generation of mathematical tools. There is an explosive growth of new mathematical disciplines to satisfy this demand, in particular related to discrete mathematics. However, it can be argued that at large mathematics is yet to provide the essential breakthrough to meet the challenge. The required paradigm shift in our view should be compa- ble to the shift in scienti?c thinking provided by the Newtonian revolution over 300 years ago. Studies of large-scale random graphs and networks are critical for the progress, using methods of discrete mathematics, probabil- tic combinatorics, graph theory, and statistical physics. Recent advances in large scale random network studies are described in this handbook, which provides a signi?cant update and extension - yond the materials presented in the "Handbook of Graphs and Networks" published in 2003 by Wiley. The present volume puts special emphasis on large-scale networks and random processes, which deemed as crucial for - tureprogressinthe?eld. Theissuesrelatedtorandomgraphsandnetworks pose very di?cult mathematical questions.

Computer-AidedInnovation(CAI)isayoungdomaininthearrayofCAxte- nologies. ThegoalofCAIistosupportengineersandenterprisesthroughoutthe completeinnovationprocess. AlthoughsomeexistingideasandconceptsofCAI focus on assisting product designers in their creative stage, a more compreh- sive vision conceives CAI systems beginning at the creative stage of perceiving business opportunities and customer demands, then helping in developing - ventions and, further on, providing help up to the point of turning inventions into successful innovations in the market. Following the track of the last two successful CAI conferences held in 2005, in Germany, and 2007 in USA, the ThirdIFIPWorkingConferenceonComputer-AidedInnovation(CAI)washeld in Harbin, China, and attractedparticipants fromacademia and industry. This workingconferencecontinuedthe traditionofstronglylinkingacademicand- dustrymembers. Theconferencehadseveralparallelsessions, andeightkeynote sessions. Over 100 participants attended the conference. Some famous scholars wereinvited askeynotespeakers. I would liketo takethe opportunityto thank all the authors for their quality research, the international Program Comm- teemembersfortheirsupportinreviewingthepapers, andthelocalOrganizing Committeefortheirpreparationoftheconference. Furthermore, IthanktheC- neseNaturalScienceFoundation, theDepartmentofScienceandTechnologyof HeilongjiangProvincialGovernment, theInstituteofDesignforInnovation, and Hebei University of Technology, for their ?nancial support of the conference. I wouldalsoliketothankZhuLin, YaoYihang, XueGuiying, andCaoGuozhong for their signi?cantcontributions towardthe successof the conference. August 2009 Runhua Tan Organization TheThirdIFIPWorkingConferenceonComputer-AidedInnovation(CAI)was organized by Hebei University of Technology and the Department of Science andTechnologyofHeilongjiangProvincialGovernmentincooperationwiththe National Natural Science Foundationof China. Program Committee Conference Chair Runhua Tan, (Hebei University ofTechnology, China) Noel Leon(ITESM, Campus Monterrey, Mexico) OrganizingChair T. S. Yang (Department ofScience and Technologyof Heilongjiang Provincial Government, China) Referees T. Arciszewski(USA) Y. Li (China) M. Ashtiani (USA) H. Liu (China) G. Cascini(Italy) M. L. Maher (Australia) D. Cavalucci (France) M. B. Mc Grath(USA) R. De Guio(France) G. Mukundan (USA) S. K. Cho (USA) G. Olling (USA) S. Finger (USA) J. Ovtcharova(Germany) J. Gero(Australia) E. Schueler-Hainsch(Germany) C. Gundlach(Germ