AMIA: an Environment for Knowledge-Based Discrete-Time Systems Simulation
نویسندگان
چکیده
In this paper, we present AMIA, a workbench for developing knowledge-based discrete-time simulation systems. AMIA is original in two respects. First it uses an algebraic modeling language for combining discrete-time models (difference equations) and symbolic knowledge. Second, it uses a new simulation algorithm able to exploit this combination of numerical and symbolic knowledge. AMIA also includes a model management system for supporting the modeling and simulation process.
منابع مشابه
AMIA: an environment for knowledge-based discrete-time simulation
In this paper, we present AMIA, a workbench for developing knowledge-based discrete-time simulation systems. AMIA is original in two respects: first it uses an algebraic modeling language for combining numerical and symbolic knowledge. Second, it uses a new simulation algorithm able to exploit this combination of numerical and symbolic knowledge. AMIA also includes a model management system for...
متن کاملDeveloping knowledge-based discrete-time simulation systems in AMIA
In this paper, we present AMIA, a workbench for developing knowledge-based discrete-time simulation systems. AMIA is original in two respects: first it uses an algebraic modeling language for combining numerical and symbolic knowledge. Second, it integrates two new simulation algorithms able to exploit this combination of numerical and symbolic knowledge. AMIA also includes a model management s...
متن کاملOptimal design of supply chain network under uncertainty environment using hybrid analytical and simulation modeling approach
Models that aim to optimize the design of supply chain networks have gained more interest in the supply chain literature. Mixed-integer linear programming and discrete-event simulation are widely used for such an optimization problem. We present a hybrid approach to support decisions for supply chain network design using a combination of analytical and discrete-event simulation models. The prop...
متن کاملAn analytical model based on simulation aiming to improve patient flow in a hospital surgical suite
Surgical suits allocate a large amount of expenses to hospitals; on the other hand, they constitute a huge part of hospital revenues. Patient flow optimization in a surgical suite by omitting or reducing bottlenecks which cause loss of time is one of the key solutions in minimizing the patients’ length of stay[1] (LOS) in the system, lowering the expenses, increasing efficiency, and also enhanc...
متن کاملAn Intelligent Algorithm for Optimization of Resource Allocation Problem by Considering Human Error in an Emergency Department
Human error is a significant and ever-growing problem in the healthcare sector. In this study, resource allocation problem is considered along with human errors to optimize utilization of resources in an emergency department. The algorithm is composed of simulation, artificial neural network (ANN), design of experiment (DOE) and fuzzy data envelopment analysis (FDEA). It is a multi-response opt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998