Agent-based modeling of climate policy: An introduction to the ENGAGE multi-level model framework

2013 ◽  
Vol 44 ◽  
pp. 62-75 ◽  
Author(s):  
M.D. Gerst ◽  
P. Wang ◽  
A. Roventini ◽  
G. Fagiolo ◽  
G. Dosi ◽  
...  
Keyword(s):  
Climate Policy ◽  
Agent Based Modeling ◽  
Model Framework ◽  
Agent Based ◽  
Level Model ◽  
Multi Level

scholarly journals A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5050
Author(s):  
Xifeng Wu ◽  
Sijia Zhao ◽  
Yue Shen ◽  
Hatef Madani ◽  
Yu Chen
Keyword(s):  
Quantitative Description ◽  
Nonlinear Process ◽  
Agent Based Modeling ◽  
Low Carbon ◽  
Transition Analysis ◽  
Agent Based ◽  
Overall Design ◽  
Complex Processes ◽  
Multi Level ◽  
The Many

Low-carbon transitions are long-term complex processes that are driven by multiple factors. To provide a theoretical and practical framework of this process, we argue that the combination of the multi-level perspective (MLP) and agent-based modeling (ABM) enables us to reach a deeper and detailed analysis of low-carbon transitions. As an extensively applied theoretical form, MLP conceptualizes low-carbon transitions as a nonlinear process and allows a system to be analyzed and organized into multiple dimensions (landscape, regime, and niche). However, MLP cannot explain the many details of complex transitions, whereas ABM can estimate the influence of interacting behaviors in a complex system. Therefore, the main advantages of the combined approach for the analysis of low-carbon transition are verified: the MLP can contribute to the overall design of ABM, and ABM can provide a dynamic, continuous, and quantitative description of the MLP. To construct this combination framework, this paper offers a guiding principle that combines the two perspectives under a low-carbon transitional background to create an integrated strategy using three procedures: defining the common concepts, their interaction, and their combination. Through the proposed framework, the goal of this work was to reach a better understanding of social system evolution from the present high-carbon state to a low-carbon state under the pressure of ambitious climate goals, providing specific policy recommendations.

Leadership emergence in face-to-face and virtual teams: A multi-level model with agent-based simulations, quasi-experimental and experimental tests

2015 ◽  
Vol 26 (3) ◽  
pp. 402-418 ◽  
Author(s):  
Andra Serban ◽  
Francis J. Yammarino ◽  
Shelley D. Dionne ◽  
Surinder S. Kahai ◽  
Chanyu Hao ◽  
...  
Keyword(s):  
Virtual Teams ◽  
Experimental Tests ◽  
Leadership Emergence ◽  
Agent Based ◽  
Face To Face ◽  
Agent Based Simulations ◽  
Quasi Experimental ◽  
Level Model ◽  
Multi Level

scholarly journals LevelSpace: A NetLogo Extension for Multi-Level Agent-Based Modeling

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Arthur Hjorth ◽  
Bryan Head ◽  
Corey Brady ◽  
Uri Wilensky
Keyword(s):  
Agent Based Modeling ◽  
Agent Based ◽  
Multi Level
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