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 | | Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-Based Theories and Methodologies by Hessam S. Sarjoughian (Editor), Francois E. Cellier (Editor) ISBN-10: 9780387950655 ISBN-10: 0-387-95065-6 ISBN-13: 9780387950655 ISBN-13: 978-0-387-95065-5 Hardcover 2001-06 Springer Find Lowest Price |
Editorials | ||
Product Description The underlying technologies enabling the realization of recent advances in areas like mobile and enterprise computing are artificial intelligence (AI), modeling and simulation, and software engineering. A disciplined, multifaceted, and unified approach to modeling and simulation is now essential in new frontiers, such as Simulation Based Acquisition. This volume is an edited survey of international scientists, academicians, and professionals who present their latest research findings in the various fields of AI; collaborative/distributed computing; and modeling, simulation, and their integration. Whereas some of these areas continue to seek answers to basic fundamental scientific inquiries, new questions have emerged only recently due to advances in computing infrastructures, technologies, and tools. The book¿s principal goal is to provide a unifying forum for developing postmodern, AI-based modeling and simulation environments and their utilization in both traditional and modern application domains. Features and topics: * Blends comprehensive, advanced modeling and simulation theories and methodologies in a presentation founded on formal, system-theoretic and AI-based approaches * Uses detailed, real-world examples to illustrate key concepts in systems theory, modeling, simulation, object orientation, and intelligent systems * Addresses a broad range of critical topics in the areas of modeling frameworks, distributed and high-performance object-oriented simulation approaches, as well as robotics, learning, multi-scale and multi-resolution models, and multi-agent systems * Includes new results pertaining to intelligent and agent-based modeling, the relationship between AI-based reasoning and Discrete-Event System Specification, and large-scale distributed modeling and simulation frameworks * Provides cross-disciplinary insight into how computer science, computer engineering, and systems engineering can collectively provide a rich set of theories and methods enabling contemporary modeling and simulation This state-of-the-art survey on collaborative/distributed modeling and simulation computing environments is an essential resource for the latest developments and tools in the field for all computer scientists, systems engineers, and software engineers. Professionals, practitioners, and graduate students will find this reference invaluable to their work involving computer simulation, distributed modeling, discrete-event systems, AI, and software engineering. | ||
Amazon.com Review How are modeling and simulation guiding the evolution of artificial intelligence? Get the state of the art in this collection of papers from a survey of academics and professionals working deep in the field. Moving beyond mathematical modeling to include robotics and multi-agent systems, the work is invaluable to all AI researchers. --Rob Lightner | ||
Reviews | ||
The introduction itself is worth the price These articles originated as papers from a recent meeting so that some may be found on the web. However,the articles are extended and stringently reviewed revisions of the original papers the collection itself is of great value since it amounts to a whole more than the sum. The introductory article is not just a precis of the contents, it does an excellent job of placing discrete event modeling and simulation technology within the context of AI, software engineering, and systems engineering. Contrary to one reviewer, the book cannot be derived in any way from what's available on the web. If you are interested in new paradigms for technology, it belongs on your bookshelf. | ||
the book is in internet the book are many free papers on internet. There are very theory technologies but no new contents about DEVS. | ||