loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Chia-Tung Kuo ; Da-Wei Wang and Tsan-sheng Hsu

Affiliation: Academia Sinica, Taiwan

Keyword(s): Simulation, Step Size, Efficiency, Granularity.

Related Ontology Subjects/Areas/Topics: Computer Simulation Techniques ; Simulation and Modeling ; Simulation Tools and Platforms

Abstract: This paper presents a conceptually simple approach on adjusting the time step size in a stochastic discrete time agent-based simulation and demonstrates how this could be done in practical implementation. The choice of time step size in such a system is often based on the nature of the phenomenon to be modelled and the tolerated simulation time. A finer time scale may be desired upon the introduction of new events which could possibly change the system state in smaller time intervals. Our approach divides each original time step into any integral number of equally spaced sub-steps based on simple assumptions, and thus allows a simulation system to incorporate such events and produce results with finer time scale. Regarding the tradeoff between finer scale and higher use of resource, our approach also highlights the implementation techniques that increase the resource usage and simulation time only marginally. We analyze the results of this refinement on a stochastic simulation model for epidemic spread and compare the results with the original system without refinement. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.211.239.181

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kuo, C.; Wang, D. and Hsu, T. (2012). A Simple Efficient Technique to Adjust Time Step Size in a Stochastic Discrete Time Agent-based Simulation. In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-8565-20-4; ISSN 2184-2841, SciTePress, pages 42-48. DOI: 10.5220/0004056000420048

@conference{simultech12,
author={Chia{-}Tung Kuo. and Da{-}Wei Wang. and Tsan{-}sheng Hsu.},
title={A Simple Efficient Technique to Adjust Time Step Size in a Stochastic Discrete Time Agent-based Simulation},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2012},
pages={42-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004056000420048},
isbn={978-989-8565-20-4},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - A Simple Efficient Technique to Adjust Time Step Size in a Stochastic Discrete Time Agent-based Simulation
SN - 978-989-8565-20-4
IS - 2184-2841
AU - Kuo, C.
AU - Wang, D.
AU - Hsu, T.
PY - 2012
SP - 42
EP - 48
DO - 10.5220/0004056000420048
PB - SciTePress