Multistage simulation is employed to help predicting the future actions of collaborating or competing agents, interacting in the mini-world covered by a temporal database. At each stage, their goals are inferred from the current situation, with the help of rules designed to model their behavioural patterns, in turn extracted from records of their past actions. Besides goal-inference rules, the ...

With the ever-increasing complexity and dynamics of supply chains in an extended enterprise, simulation has become a powerful tool to assess supply performance. In traditional simulation approaches, a model is constructed by a user, who defines it step-bystep via the user interface of the simulation tool. However, if the model configuration needs to be changed, this must be carried out by a sim...

A new strategy to formulate transportation fuels surrogates using model predictions of gas-phase combustion targets is explored. Given a selection of individual fuel components, a multi-component chemical mechanism describing their oxidation kinetics, and a database of experimental measurements for key combustion quantities such as ignition delay times and laminar burning velocities, the optima...

A method to represent actual relational databases with arrays for simulation modeling of their performance as part of a software/hardware system has been created. The method includes a representation using arrays of the transactions accessing the database. This leads to a simplified, efficient submodel with a small network that gives accurate, detailed results from a detailed representation of ...

A new methodology for the asynchronous discrete event-driven simulation of parallel computers is proposed. This methodology integrates sequential and distributed simulation in a unified paradigm and is applicable to the simulation of all classes of parallel computer architectures. In our own simulation work we accelerated simulations by more than an order of magnitude with parallel execution sp...

Due to globalisation, companies have to become more and more agile in order to face demand fluctuations and growing customisation needs. Indeed, the mass production market moves to a mass customization one, which could be defined as the production of a wide variety of end products at a low unit cost. This market typology evolution implies to ensure a quick answer to customers needs. The main pr...

System-theoretic modeling and simulation frameworks such as Object-Oriented Discrete-event System Specification (OO-DEVS) are commonly used for simulating complex systems, but they do not account for domain knowledge. In contrast, Model-Driven Design environments like Rhapsody support capturing domain-specific software design, but offer limited support for simulation. In this paper we describe ...

Around half of the neurons of a human brain are granule cells (approximately 10(11)granule neurons) [Kandel, E.R., Schwartz, J.H., Jessell, T.M., 2000. Principles of Neural Science. McGraw-Hill Professional Publishing, New York]. In order to study in detail the functional role of the intrinsic features of this cell we have developed a pre-compiled behavioural model based on the simplified granu...

One of applications proposed for PHELIX is ignition of hot laser sparks for x-ray shadowgraphy and K-shell absorption spectroscopy of heavy-ion-beam targets [1]. In 2004 we started numerical simulation and optimization of laserdriven x-ray backlighter. An emphasis of this study is on efficiency of conversion of the laser pulse energy into hard x-rays. Here we present the computational tools and...

Progress in cloth simulation for computer animation and apparel design has led to a multitude of deformation models, each with its own way of relating geometry, deformation, and forces. As simulators improve, differences between these models become more important, but it is difficult to choose a model and a set of parameters to match a given real material simply by looking at simulation results...