Research Article
CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation
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@INPROCEEDINGS{10.1007/978-3-319-46909-6_24, author={Thai Truong and Fr\^{e}d\^{e}ric Amblard and Benoit Gaudou and Christophe Blanc}, title={CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation}, proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers}, proceedings_a={ICTCC}, year={2017}, month={1}, keywords={Agent-Based model BI solution Brown plant hopper Data driven approach Data warehouse Multi-Agent based simulation}, doi={10.1007/978-3-319-46909-6_24} }- Thai Truong
Frédéric Amblard
Benoit Gaudou
Christophe Blanc
Year: 2017
CFBM - A Framework for Data Driven Approach in Agent-Based Modeling and Simulation
ICTCC
Springer
DOI: 10.1007/978-3-319-46909-6_24
Abstract
Recently, there has been a shift from modeling driven approach to data driven approach in Agent Based Modeling and Simulation (ABMS). This trend towards the use of data-driven approaches in simulation aims at using more and more data available from the observation systems into simulation models [1, 2]. In a data driven approach, the empirical data collected from the target system are used not only for the design of the simulation models but also in initialization, evaluation of the output of the simulation platform. That raises the question how to manage empirical data, simulation data and compare those data in such agent-based simulation platform.
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