Knowledge-Based Simulation: Methodology and Application represents a recent compilation of research material that reviews fundamental concepts of simulation methodology and knowledge-based simulation applications. Knowledge-based simulation represents a new and exciting bridge area linking the fields of computer simulation and artificial intelligence. This book will appeal to both theorists and practitioners who require simulation to solve complex problems. A primary attraction of the book is its emphasis on both methodology and applications. In this way, the reader can explore new methods for encoding knowledge-inten- sive information into a simulation model, and new applications that utilize these methods.

This volume results from a meeting that was held in Barcelona, Spain, April 1993, under the auspices of the DELTA programme of the European Commission. DELTA (Developing European Learning through Technological Advance) is the commission's technology R&D programme that concentrates on "Telematic Systems for Flexible and Distance Learning". The overarching goal of this programme is to contribute through information technology to more efficient and effective design, production, and delivery of learning material. The DELTA programme started its main phase in 1992 with a total of 22 projects and a total budget of 92. 4 million ECU. In the meanwhile an extension of the programme has resulted in 8 extensions of existing projects and 8 new projects, bringing the number of projects to 30, with a corresponding total budget of 99. 9 million ECU. The programme has three main areas: telecommunication, delivery information systems, and design and production. In the projects, in total 201 organisations (industrial, commercial, and universities) from 12 European Union member states and 5 EFTA countries are represented. The DELTA programme pays much attention to the exchange of ideas and dissemination of information both between individual DELTA projects and between DELTA projects and other initiatives in the EU. Meetings in which DELTA projects are involved are held several times a year as so-called 'concertation meetings', meetings where also non-DELTA projects participate are called 'concerted actions'.

Simulation and gaming are emerging as useful tools in the field of education. Health professional schools around the world have been expanding their use of simulation; however, there are few resources for health educators that highlight the advances in the field. Additionally, the use of simulation in low-resource settings is an area of growing interest globally, as is the sustainability of simulation-based education. Further study is required to fully understand this dynamic technology. Simulation and Game-Based Learning for the Health Professions focuses on simulation-based education for the health professions and the role of school-business-community collaboration to promote the translation of simulation skills to clinical and public health practice. The book also provides guidance for educators organizing simulations for interprofessional learners in high and low resource settings as well as tools for in-person and remote evaluation of simulation performance using telesimulation. Covering topics such as gaming, augmented reality, and clinical practice, this reference work is ideal for medical professionals, nurses, health educators, researchers, academicians, scholars, practitioners, instructors, and students.

A new resource for academic and clinical educators, Simulation-Based Learning in Communication Sciences and Disorders: Moving From Theory to Practice presents best practices in simulations for undergraduate, graduate, and workplace training programs in audiology, speech-language pathology, and communication sciences and disorders. Utilizing the expertise of experienced clinical educators, Simulation-Based Learning in Communication Sciences and Disorders is an introductory to intermediate text for those interested in implementing clinical simulations within undergraduate and graduate training programs, as well as the workplace. To that end, it includes descriptions of various simulation technologies, ranging from low to high fidelity, as well as examples for implementation. The text is divided into three main sections: Foundations in Clinical Simulations provides an overview of foundational theories in simulation-based learning and principles of teaching and learning in higher education Clinical Simulation Learning Experiences expands upon the various forms of simulation technology, outlines the best practices for implementing simulations for learning, and identifies ways for educators to incorporate simulation technologies into their curriculum Professional Issues and Advocacy calls on readers to engage in professional development and research in the area of simulations; readers are encouraged to consider ways in which existing and emerging technologies can help us adapt to the upcoming changes in education and training Simulation-Based Learning in Communication Sciences and Disorders: Moving From Theory to Practice is one of the first books to integrate best practices in simulation research and practice specifically for academics and clinical educators in communication sciences and disorders. It is an invaluable guide to anyone who is interested in providing high-quality learning experiences through simulation to students and professionals in communication sciences and disorders.

Commissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ‘Body of Knowledge’ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations. Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation. This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline. Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.

45 edited articles, originally presented at the 38th edition of the International Simulation and Gaming Association conference 2007.

The main idea of this book is that to comprehend the instructional potential of simulation and to design effective simulation-based learning environments, one has to consider both what happens inside the computer and inside the students' minds. The framework adopted to do this is model-centered learning, in which simulation is seen as particularly effective when learning requires a restructuring of the individual mental models of the students, as in conceptual change. Mental models are by themeselves simulations, and thus simulation models can extend our biological capacity to carry out simulative reasoning. For this reason, recent approaches in cognitive science like embodied cognition and the extended mind hypothesis are also considered in the book.. A conceptual model called the “epistemic simulation cycle” is proposed as a blueprint for the comprehension of the cognitive activies involved in simulation-based learning and for instructional design.

Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient. The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics.

Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.

The 18th European Symposium on Computer Aided Process Engineering contains papers presented at the 18th European Symposium of Computer Aided Process Engineering (ESCAPE 18) held in Lyon, France, from 1-4 June 2008.The ESCAPE series brings the latest innovations and achievements by leading professionals from the industrial and academic communities. The series serves as a forum for engineers, scientists, researchers, managers and students from academia and industry to:- present new computer aided methods, algorithms, techniques related to process and product engineering,- discuss innovative concepts, new challenges, needs and trends in the area of CAPE.This research area bridges fundamental sciences (physics, chemistry, thermodynamics, applied mathematics and computer sciences) with the various aspects of process and product engineering.The special theme for ESCAPE-18 is CAPE for the Users! CAPE systems are to be put in the hands of end users who need functionality and assistance beyond the scientific and technological capacities which are at the core of the systems. The four main topics are:- off-line systems for synthesis and design,- on-line systems for control and operation,- computational and numerical solutions strategies,- integrated and multi-scale modelling and simulation,Two general topics address the impact of CAPE tools and methods on Society and Education. * CD-ROM that accompanies the book contains all research papers and contributions* International in scope with guest speeches and keynote talks from leaders in science and industry* Presents papers covering the latest research, key top areas and developments in Computer Aided Process Engineering