Discrete Event Modeling and Simulation Technologies: A Tapestry of Systems and AI-Based Theories and

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.