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2007, International Journal on Artificial Intelligence Tools
This article presents the language and software environment LEADSTO that has been developed to model and simulate dynamic processes in terms of both qualitative and quantitative concepts. The LEADSTO language is a declarative order-sorted temporal language, extended with quantitative notions like integer and real. Dynamic processes can be modelled in LEADSTO by specifying the direct temporal dependencies between state properties in successive states. Based on the LEADSTO language, a software environment was developed that performs simulations of LEADSTO specifications, generates data-files containing traces of simulation for further analysis, and constructs visual representations of traces. The approach proved its worth in a number of research projects in different domains.
2005 •
This paper presents the language and software environment LEADSTO that has been developed to model and simulate dynamic processes in terms of both qualitative and quantitative concepts. The LEADSTO language is a declarative order-sorted temporal language, extended with quantitative means. Dynamic processes can be modelled by specifying the direct temporal dependencies between state properties in successive states. Based on the LEADSTO language, a software environment was developed that performs simulations of LEADSTO specifications, generates simulation traces for further analysis, and constructs visual representations of traces. The approach proved its value in a number of research projects in different domains.
Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
LEADSTO: a Language and Environment for Analysis of Dynamics by SimulaTiOn (extended abstract)2005 •
This paper presents the language and software environment LEADSTO that has been developed to model and simulate dynamic processes in terms of both qualita- tive and quantitative concepts. The LEADSTO language is a declarative order-sorted temporal language, extended with quantitative means. Dynamic processes can be mod- elled by specifying the direct temporal dependencies between state properties in succes- sive states.
Qualitative simulation is a well-known reasoning technique that involves the use of simulation technologies. Reasoning is made to determine qualitative values and change directions of system variables, and it is done for each time point and time interval following the time point. Qualitative variables possess continuous qualitative value sets that are discretized by landmark points. Qualitative simulation uses qualitative time representation and its quantitative value is of no interest. The main purpose of this study was to develop a technique to determine time steps for a quantitative simulation under guidance of qualitative information. The proposed technique determined time advances using qualitative and quantitative information together to obtain a robust time step as wide as possible for simulation time advances. For this purpose, sign algebraic properties and derivation roots of quantitative equations and qualitative variable values with their change directions were used to compute time advances. In the approach, qualitative simulation determined landmark points to be advanced, and quantitative simulation calculated the duration required. Using the proposed algorithm, the simulation is advanced instead of iterating simulation time for a predefined time step and checking whether or not there is any activity in the interval, directly to the time points that are qualitatively different.
The Journal of Object Technology
On Developing and Validating Dynamic Systems: Simulation EngineeringSimulation Symposium, 2007. ANSS' …
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2015 •
Cette these propose une methodologie qui integre les methodes formelles dans la specification, la conception, la verification et la validation des systemes complexes concurrents et distribues avec une perspective a evenements discrets. La methodologie est basee sur le langage graphique HILLS (High Level Language for System Specification) que nous avons defini. HiLLS integre des concepts de genie logiciel et de theorie des systemes pour une specification des systemes. Precisement, HiLLS integre des concepts et notations de DEVS (Discrete Event System Specification), UML (Unified Modeling Language) et Object-Z. Les objectifs de HILLS incluent la definition d’une syntaxe concrete graphique qui facilite la communicabilite des modeles et plusieurs domaines semantiques pour la simulation, le prototypage, l’enaction et l’accessibilite a l’analyse formelle. L’Enaction se definit par le processus de creation d’une instance du systeme qui s’execute en temps reel (par opposition au temps virtu...
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