Divide and conquer: A four-fold docking experience of agent-based models

Verification and validation (V&V) techniques are used in agent-based modeling (ABM) to determine whether the model is an accurate representation of the real system. Docking is a form of V&V that tries to align multiple simulation models. In a previous paper, we described the docking process...

Full description

Saved in:
Bibliographic Details
Main Authors: Arifin, S M N, Davis, G J, Kurtz, S, Gentile, J E, Ying Zhou, Madey, G R
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Biological system modeling
Computational modeling
Data models
Diseases
Equations
Mathematical model
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Verification and validation (V&V) techniques are used in agent-based modeling (ABM) to determine whether the model is an accurate representation of the real system. Docking is a form of V&V that tries to align multiple simulation models. In a previous paper, we described the docking process of an ABM that simulates the life cycle of Anopheles gambiae. Results showed that the implementations were docked for adult but not for aquatic mosquito populations. In this paper, following the `Divide and Conquer' paradigm, we compartmentalize the simulation world to prohibit the propagation of errors between compartments. Using four separate implementations that sprung from the same core model, we describe a series of docking experiments, analyze the results, and show how they lead to a successful dock. The complete four-fold docking encompasses verification between the four implementations, as well as validation against the core model with respect to these implementations.
ISSN:0891-7736
1558-4305
DOI:10.1109/WSC.2010.5679130