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Special Issue On Artificial Intelligence In Modeling And Simulation
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Book Synopsis Artificial Intelligence, Simulation, and Modeling by : Lawrence E. Widman
Download or read book Artificial Intelligence, Simulation, and Modeling written by Lawrence E. Widman and published by . This book was released on 1989-09-06 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary approach to computer modeling addresses both traditional simulationists seeking the greater representational flexibility and ease of use that AI techniques offer, and computer scientists seeking the greater power and realism that rigorous simulation techniques can provide. First section reveals the theoretical underpinnings of AI and simulation. Second section describes application of simulation techniques to current problems in AI research. Third section discusses application of AI methods to simulation.
Book Synopsis Artificial Higher Order Neural Networks for Modeling and Simulation by : Zhang, Ming
Download or read book Artificial Higher Order Neural Networks for Modeling and Simulation written by Zhang, Ming and published by IGI Global. This book was released on 2012-10-31 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--Provided by publisher.
Book Synopsis Engineering Systems with Intelligence by : S.G. Tzafestas
Download or read book Engineering Systems with Intelligence written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of papers presented at the "European Robotics and Intelligent Systems Conference" (EURISCON '91) held in Corfu. Greece (June 23-28. 1991). It is devoted to the analysis. design and applications of technological systems with built-in intelligence achieved through appropriate blending of mathematical, symbolic. sensing. computer processing. and feedback control concepts. methods and software / hardware tools. System intelligence includes human-like capabilities such as learning. observation. perception. interpretation. reasoning. planning. decision making. and action. Integrated intelligent decision and control systems obey Saridis' prinCiple of Increasing Precision with Decreasing Intelligence (IPDI). and have a hierarchical structure with three basic levels. namely Organization. Coordination. and Execution Levels. As we proceed from the organization to the execution level. the precision about the jobs to be completed increases and accordingly the intelligence reqUired for these jobs decreases. As an example. it is mentioned here that in an intelligent robotic system the organization tasks can be realized using a neural net. the coordination tasks by a Petri net. and the execution tasks by local sensors and actuators. The field of intelligent systems is a new interdisciplinary field with continuously increasing interest and expansion. It is actually the outcome of the synergetic interaction and cooperation of classical fields such as system theory. control theory. artificial intelligence. operational research. information theory. electronics. communications. and others.
Book Synopsis Agent-Directed Simulation and Systems Engineering by : Levent Yilmaz
Download or read book Agent-Directed Simulation and Systems Engineering written by Levent Yilmaz and published by John Wiley & Sons. This book was released on 2009-11-04 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only book to present the synergy between modeling and simulation, systems engineering, and agent technologies expands the notion of agent-based simulation to also deal with agent simulation and agent-supported simulation. Accessible to both practitioners and managers, it systematically addresses designing and building agent systems from a systems engineering perspective.
Book Synopsis Modeling and Simulation: Theory and Practice by : George A. Bekey
Download or read book Modeling and Simulation: Theory and Practice written by George A. Bekey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and Simulation: Theory and Practice provides a comprehensive review of both methodologies and applications of simulation and modeling. The methodology section includes such topics as the philosophy of simulation, inverse problems in simulation, simulation model compilers, treatment of ill-defined systems, and a survey of simulation languages. The application section covers a wide range of topics, including applications to environmental management, biology and medicine, neural networks, collaborative visualization and intelligent interfaces. The book consists of 13 invited chapters written by former colleagues and students of Professor Karplus. Also included are several short 'reminiscences' describing Professor Karplus' impact on the professional careers of former colleagues and students who worked closely with him over the years.
Book Synopsis Encyclopedia of Complexity and Systems Science by :
Download or read book Encyclopedia of Complexity and Systems Science written by and published by Springer. This book was released on 2009-06-26 with total page 10398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This encyclopedia provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. It links fundamental concepts of mathematics and computational sciences to applications in the physical sciences, engineering, biomedicine, economics and the social sciences.
Book Synopsis Research Directions in Computational Mechanics by : National Research Council
Download or read book Research Directions in Computational Mechanics written by National Research Council and published by National Academies Press. This book was released on 1991-02-01 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational mechanics is a scientific discipline that marries physics, computers, and mathematics to emulate natural physical phenomena. It is a technology that allows scientists to study and predict the performance of various productsâ€"important for research and development in the industrialized world. This book describes current trends and future research directions in computational mechanics in areas where gaps exist in current knowledge and where major advances are crucial to continued technological developments in the United States.
Book Synopsis Object-Oriented Simulation with Hierarchical, Modular Models by : Bernard P. Zeigler
Download or read book Object-Oriented Simulation with Hierarchical, Modular Models written by Bernard P. Zeigler and published by Academic Press. This book was released on 2014-05-10 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object-Oriented Simulation with Hierarchical, Modular Models: Intelligent Agents and Endomorphic Systems describes an approach to object-oriented discrete event simulation and the concepts of hierarchical, modular model construction, The implementation of the concepts of multifaceted modeling methodology in the DEVS-Scheme modeling and simulation environment is discussed. The use of the DEVS-Scheme environment in modeling artificial intelligent agents is also considered, along with the concept of endomorphism to characterize the application of self-embedded models, including models of self. Comprised of 15 chapters, this book begins with an overview of the dimensions of knowledge representation in simulation environments, followed by a discussion on object-oriented programming as well as the concepts of modular, hierarchical models and the system entity structure. Subsequent chapters focus on digraph-models and experimental frames; DEVS formalism and DEVS-Scheme simulation environment; a model base for simple multi-computer architectures; and rule-based specification of atomic models. Model bases in endomorphic systems and intelligent agents are also examined. This monograph will be of interest to simulation theorists as well as practitioners and researchers in the fields of artificial intelligence, systems engineering, computer science and engineering, and operations research.
Book Synopsis Artificial Intelligence in Modeling and Simulation by : Nuno Fachada Fachada
Download or read book Artificial Intelligence in Modeling and Simulation written by Nuno Fachada Fachada and published by . This book was released on 2024-07-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Special Issue on "Artificial Intelligence in Modeling and Simulation" presents a collection of papers demonstrating the significant impact of artificial intelligence (AI) on various aspects of modeling and simulation (M&S). This reprint features 11 selected papers that focus on integrating AI techniques to improve simulation models' accuracy, efficiency, and applicability across different domains. This Special Issue includes research on using AI for optimizing simulation processes, such as reducing computation times and increasing predictive accuracy in complex systems. For instance, one study investigates the impact of different activation functions on the performance of neural networks in finite element simulations, while another reviews the application of AI in time series prediction. Furthermore, the issue covers the role of AI in real-time data processing and classification, showcasing methods to improve the detection and evaluation of data in operational technologies and structural health monitoring. The interaction between AI and agent-based modeling is also addressed, demonstrating how automated data extraction and model validation can significantly advance the development and application of agent-based models. This Special Issue provides valuable insights and methodologies for researchers and practitioners, highlighting the broad range of applications and significant advancements driven by AI in M&S.
Book Synopsis Handbook of Dynamic System Modeling by : Paul A. Fishwick
Download or read book Handbook of Dynamic System Modeling written by Paul A. Fishwick and published by CRC Press. This book was released on 2007-06-01 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic Sy
Book Synopsis Body of Knowledge for Modeling and Simulation by : Tuncer Ören
Download or read book Body of Knowledge for Modeling and Simulation written by Tuncer Ören and published by Springer Nature. This book was released on 2023-01-27 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Applied System Simulation by : Mohammad S. Obaidat
Download or read book Applied System Simulation written by Mohammad S. Obaidat and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation and molding are efficient techniques that can aid the city and regional planners and engineers in optimizing the operation of urban systems such as traffic light control, highway toll automation, consensus building, public safety, and environmental protection. When modeling transportation systems such as freeway systems, arterial or downtown grid systems, the city planner and engineer is concerned with capturing the varied interactions between drivers, automobiles, and the infrastructure. Modeling and simulation are used to effectively optimize the design and operation of all of these urban systems. It is possible that in an urban simulation community workshop, citizens can work interactively in front of computers and be able using the click of the mouse to walk up to their own front porch, looking at the proposed shopping mall alternatives across the street from virtually any angle and proposed bridge or tunnel and see how it can reduce traffic congestion. Buildings can be scaled down or taken out, their orientation can be changed in order to check the view and orientation in order to have better site with efficient energy-conservation. The stone or brick material on a building can be replaced by colored concrete, or more trees and lampposts can be placed on the site. Such flexibility in simulation and animation allows creative ideas in the design and orientation of urban sites to be demonstrated to citizens and decision makers before final realization.
Book Synopsis Modelling and Simulation of Human-Environment Interactions by : Philippe J Giabbanelli
Download or read book Modelling and Simulation of Human-Environment Interactions written by Philippe J Giabbanelli and published by Mdpi AG. This book was released on 2021-12-31 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational models provide intelligent environmental decision support systems to understand how human decisions are shaped by, and contribute to changes in, the environment. These models provide essential tools to tackle the important issues raised by climate change, including migrations and conflicts due to resource scarcity (e.g., water resources), while accounting for the necessity of co-managing ecosystems across a population of stakeholders with diverse goals. Such socio-environmental systems are characterized by their complexity, which is reflected by an abundance of open questions. This book explores several of these open questions, based on the contributions from over 50 authors. The book starts with a review of quantitative methods to model human responses to changes in water resources availability. Water resources are then examined comprehensively from a data science lens, focusing on the creation of an ambitious interdisciplinary platform to facilitate data collection and analysis across hundreds of variables. The feasibility of using novel data sources to create detailed models of socio-environmental systems is further exemplified via a study integrating real-time sensor data into an agent-based model, thus illustrating the two growing research themes of Internet of Things (IoT) and smart cities. As the development of a smart city represents only one of several possible futures, we complement this study with a scenario focused on urban shrinkage, thus illustrating the flexibility of agent-based models at representing different dynamic phenomena in the context of socio-environmental systems. To stress the importance of engaging local stakeholders in managing these systems, we also show how human factors can be included in modeling studies via mixed methods, by transforming the mental models of individuals into rules for agent-based models. While several books account for methodological developments in modeling socio-environmental systems, our book is unique in combining case studies, methodological innovations, and a holistic approach to training the next generation of modelers. One chapter covers the ontological, epistemological, and ethical issues raised at the intersection of sustainability research and social simulation. In another chapter, we show that the benefits of simulations are not limited to managing complex eco-systems, as they can also serve an educational mission in teaching essential rules and thus improve systems thinking competencies in the broader population.
Book Synopsis Modeling and Simulation Fundamentals by : John A. Sokolowski
Download or read book Modeling and Simulation Fundamentals written by John A. Sokolowski and published by John Wiley & Sons. This book was released on 2010-07-13 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of modeling and simulation. Featuring contributions written by leading experts in the field, the book's fluid presentation builds from topic to topic and provides the foundation and theoretical underpinnings of modeling and simulation. First, an introduction to the topic is presented, including related terminology, examples of model development, and various domains of modeling and simulation. Subsequent chapters develop the necessary mathematical background needed to understand modeling and simulation topics, model types, and the importance of visualization. In addition, Monte Carlo simulation, continuous simulation, and discrete event simulation are thoroughly discussed, all of which are significant to a complete understanding of modeling and simulation. The book also features chapters that outline sophisticated methodologies, verification and validation, and the importance of interoperability. A related FTP site features color representations of the book's numerous figures. Modeling and Simulation Fundamentals encompasses a comprehensive study of the discipline and is an excellent book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of computational statistics, engineering, and computer science who use statistical modeling techniques.
Book Synopsis Handbook on Artificial Intelligence and Transport by : Hussein Dia
Download or read book Handbook on Artificial Intelligence and Transport written by Hussein Dia and published by Edward Elgar Publishing. This book was released on 2023-10-06 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.
Book Synopsis Guide to Simulation-Based Disciplines by : Saurabh Mittal
Download or read book Guide to Simulation-Based Disciplines written by Saurabh Mittal and published by Springer. This book was released on 2017-07-26 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable text/reference reviews the state of the art in simulation-based approaches across a wide range of different disciplines, and provides evidence of using simulation-based approaches to advance these disciplines. Highlighting the benefits that simulation can bring to any field, the volume presents case studies by the leading experts from such diverse domains as the life sciences, engineering, architecture, arts, and social sciences. Topics and features: includes review questions at the end of every chapter; provides a broad overview of the evolution of the concept of simulation, stressing its importance across numerous sectors and disciplines; addresses the role of simulation in engineering design, and emphasizes the benefits of integrating simulation into the systems engineering paradigm; explains the relation of simulation with Cyber-Physical Systems and the Internet of Things, and describes a simulation infrastructure for complex adaptive systems; investigates how simulation is used in the Software Design Life Cycle to assess complex solutions, and examines the use of simulation in architectural design; reviews the function and purpose of simulation within the context of the scientific method, and its contribution to healthcare and health education training; discusses the position of simulation in research in the social sciences, and describes the simulation of service systems for simulation-based enterprise management; describes the role of simulation in learning and education, as well as in in military training. With its near-exhaustive coverage of disciplines, this comprehensive collection is essential reading for all researchers, practitioners and students seeking insights into the use of various modeling paradigms and the need for robust simulation infrastructure to advance their field into a computational future.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1609601963 Total Pages :2084 pages Book Rating :4.6/5 (96 download)
Book Synopsis Gaming and Simulations: Concepts, Methodologies, Tools and Applications by : Management Association, Information Resources
Download or read book Gaming and Simulations: Concepts, Methodologies, Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2010-11-30 with total page 2084 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book set unites fundamental research on the history, current directions, and implications of gaming at individual and organizational levels, exploring all facets of game design and application and describing how this emerging discipline informs and is informed by society and culture"--Provided by publisher.
