Simulation systems need to be able to serve the need of a large domain of users with varying requirements and expectations of a simulation system. The varying degree of requirements by a larger group of users will require the use of multiple abstraction levels within a simulation environment. A methodology for implementing simulation systems with multiple abstraction levels has been developed. This methodology permits the simulation system to have great flexibility in satisfying the requirements of a broad range of users
International audienceIn this paper, we consider the problem of modeling complex systems at several ...
A META-THEORETIC APPROACH TO MODELING AND SIMULATION We aim at building a methodological framework t...
Multi-agent systems for a certain application area can be modeled at multiple levels of abstraction....
Simulation systems need to be able to serve the need of a large domain of users with varying require...
Optimizing the level of detail of a simulation involves avoiding the computation of unnecessary feat...
The goal of this chapter is to ease simulation and validation of smart systems. In this context, it ...
ION IN SYSTEMS Paul A. Fishwick and Kangsun Lee Computer and Information Science and Engineering De...
One of the main problems when dealing with simulations in a large environment is the amount of resou...
The problem of complexity has kept qualitative physics techniques from being applied to large real-w...
Each modeler meets a challenging task of abstracting the relevant physical behavior of the system to...
Simulation provides the ability to obtain results from, and analyse, a system without physically bui...
As complex models are used in practice, modelers require efficient ways of abstracting their models....
This paper proposes two approaches for the integration of cyber-physical systems in a production lin...
Investigation in discrete event simulation modeling methodology has persisted for over thirty years....
ion Approach to the Study of Multicast Protocols Polly Huang, Deborah Estrin, John Heidemann USC/In...
International audienceIn this paper, we consider the problem of modeling complex systems at several ...
A META-THEORETIC APPROACH TO MODELING AND SIMULATION We aim at building a methodological framework t...
Multi-agent systems for a certain application area can be modeled at multiple levels of abstraction....
Simulation systems need to be able to serve the need of a large domain of users with varying require...
Optimizing the level of detail of a simulation involves avoiding the computation of unnecessary feat...
The goal of this chapter is to ease simulation and validation of smart systems. In this context, it ...
ION IN SYSTEMS Paul A. Fishwick and Kangsun Lee Computer and Information Science and Engineering De...
One of the main problems when dealing with simulations in a large environment is the amount of resou...
The problem of complexity has kept qualitative physics techniques from being applied to large real-w...
Each modeler meets a challenging task of abstracting the relevant physical behavior of the system to...
Simulation provides the ability to obtain results from, and analyse, a system without physically bui...
As complex models are used in practice, modelers require efficient ways of abstracting their models....
This paper proposes two approaches for the integration of cyber-physical systems in a production lin...
Investigation in discrete event simulation modeling methodology has persisted for over thirty years....
ion Approach to the Study of Multicast Protocols Polly Huang, Deborah Estrin, John Heidemann USC/In...
International audienceIn this paper, we consider the problem of modeling complex systems at several ...
A META-THEORETIC APPROACH TO MODELING AND SIMULATION We aim at building a methodological framework t...
Multi-agent systems for a certain application area can be modeled at multiple levels of abstraction....