Discrete event modeling and simulation technologies : a tapestry of systems and AI-based theories and methodologies
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Bibliographic Information
Discrete event modeling and simulation technologies : a tapestry of systems and AI-based theories and methodologies
Springer, c2001
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"A Tribute to the 60th Birthday of Bernard P. Zeigler"
"Papers presented at a conference in March 2000, Tucson, Ariz" -- C.I.P.
Includes bibliographical references and index
Description and Table of Contents
Description
During the 1990s the computing industry has witnessed many advances in mobile and enterprise computing. Many of these advances have been made possible by developments in the areas such as modeling, simulation, and artificial intelligence. Within the different areas of enterprise computing - such as manufacturing, health organisation, and commerce - the need for a disciplined, multifaceted, and unified approach to modeling and simulation has become essential. This new book provides a forum for scientists, academics, and professionals to present their latest research findings from the various fields: artificial intelligence, collaborative/distributed computing, modeling, and simulation.
Table of Contents
Simulation-based acquisition: toward a unified foundation.-Why engineering models do not have a frame problem.- Adaptive designs for multiresolution, multiperspective modeling.- The role of uncertainty in systems modeling.- Linguistic dynamic systems and computing with words for modeling, simulation and analysis of complex systems.- Toward a modeling formalism for conflict management.- Systems design: a simulation modeling framework.- DEVS framework for systems development: unified specification for logical analysis, performance evaluation and implementation.- Representation of dynamic structure discrete event models: a systems theory approach.- Timed cell-DEVS: modeling and simulation of cell spaces.- DEVS-based modeling and simulation for intelligent transportation systems.- Dynamic neuronal ensembles: neurobiologically inspired discrete event neural networks.- Simulation for meaning generation: multiscale coalitions of autonomous agents.- Evolutionary learning in agent-based modeling.- A system theoretic approach to constructing test beds for multiagent systems.- A methodology for the translation of knowledge between heterogeneous planners.- Toward a systems methodology for object-oriented software analysis.
by "Nielsen BookData"