An empirical workflow to integrate uncertainty and sensitivity analysis to evaluate agent-based simulation outputs

2018 ◽  
Vol 107 ◽  
pp. 281-297 ◽  
Author(s):  
Carolina G. Abreu ◽  
Celia G. Ralha
Keyword(s):  
Sensitivity Analysis ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Uncertainty And Sensitivity Analysis

scholarly journals Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization

2019 ◽  
Author(s):  
Atsushi Niida ◽  
Takanori Hasegawa ◽  
Satoru Miyano
Keyword(s):  
Sensitivity Analysis ◽  
Parallel Computation ◽  
Data Visualization ◽  
Massively Parallel ◽  
Cancer Evolution ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Evolution Simulation ◽  
Interactive Data ◽  
Parameter Values

AbstractAn essential step in the analysis of agent-based simulation is sensitivity analysis, which namely examines the dependency of parameter values on simulation results. Although a number of approaches have been proposed for sensitivity analysis, they still have limitations in exhaustivity and interpretability. In this study, we propose a novel methodology for sensitivity analysis of agent-based simulation, MASSIVE (Massively parallel Agent-based Simulations and Subsequent Interactive Visualization-based Exploration). MASSIVE takes a unique paradigm, which is completely different from those of sensitivity analysis methods developed so far, By combining massively parallel computation and interactive data visualization, MASSIVE enables us to inspect a broad parameter space intuitively. We demonstrated the utility of MASSIVE by its application to cancer evolution simulation, which successfully identified conditions that generate heterogeneous tumors. We believe that our approach would be a de facto standard for sensitivity analysis of agent-based simulation in an era of ever-growing computational technology. All the result form our MASSIVE analysis is available at https://www.hgc.jp/~niiyan/massive.

scholarly journals Book Review: "Uncertainty and sensitivity analysis in archaeological computational modeling" edited by Marieka Briuwer Burg, Hans Peeters, William A. Lovis

2017 ◽  
Author(s):  
Ben Marwick
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
Computational Modeling ◽  
Cultural Transmission ◽  
Agent Based Models ◽  
Agent Based ◽  
Sources Of Uncertainty ◽  
Uncertainty And Sensitivity Analysis ◽  
Archaeological Models

This volume is collection of papers emerging from a forum at the 2014 SAA meetings. The papers are motivated by the question of how we can measure and interpret uncertainty in quantitative archaeological models, specifically by using sensitivity analysis. The types of models discussed in this volume include geo-referenced models of past environments to infer hunter-gather land use, and agent-based models of cultural transmission processes. They explore various sources of uncertainty, and implement sensitivity analysis by assessing how the output of the models varies according to changes in the inputs. The motivation for this collection is the editors' observations that archaeologists lack a discipline-based protocol for testing models.

scholarly journals Sensitivity Analysis on Factors affecting Liquidization of Farmland by Agent-based Simulation Model

2005 ◽  
Vol 24 (Special_Issue) ◽  
pp. S121-S126
Author(s):  
Ryohei YAMASHITA ◽  
Satoshi HOSHINO ◽  
Haruhiko IBA
Keyword(s):  
Sensitivity Analysis ◽  
Simulation Model ◽  
Agent Based Simulation ◽  
Factors Affecting ◽  
Agent Based

Effect of Policy and Entrepreneurship on Innovation and Growth: An Agent-based Simulation Approach

2010 ◽  
Vol 40 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Zheng WANG ◽  
Tao LIU ◽  
Xiaoye DAI
Keyword(s):  
Simulation Approach ◽  
Agent Based Simulation ◽  
Agent Based
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