A prototype cloud-based reproducible data analysis and visualization platform for outputs of agent-based models

2017 ◽  
Vol 96 ◽  
pp. 172-180 ◽  
Author(s):  
Xiongbing Jin ◽  
Kirsten Robinson ◽  
Allen Lee ◽  
J. Gary Polhill ◽  
Calvin Pritchard ◽  
...  
Keyword(s):  
Data Analysis ◽  
Agent Based Models ◽  
Agent Based

MetaModel Analysis for Agent-Based Models: Scales, Uncertainty, Data Analysis

2011 ◽  
Author(s):  
Maria Fonoberova ◽  
Vladimir A. Fonoberov ◽  
Igor Mezic ◽  
Jadranka Mezic
Keyword(s):  
Data Analysis ◽  
Agent Based Models ◽  
Agent Based

scholarly journals Mesa Python platform for agent-based modelling

2021 ◽  
Vol 16 (3) ◽  
pp. 0
Author(s):  
Dmitry Pigorev
Keyword(s):  
Data Analysis ◽  
Agent Based Models ◽  
Development Environment ◽  
Web Browser ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Python Language ◽  
Analysis Tools

Mesa is a licensed by Apache development environment for agent-based models (or ABM) in Python. It allows users to create agent-based models using built-in basic components (such as spatial and agent schedulers) or custom implementations; visualize them using the interface in a web browser; and analyze their results using Python data analysis tools. The purpose of the development of the environment was the desire of the authors to create an alternative for NetLogo, Repast or MASON based on the Python language.

scholarly journals Agent Based Models of Polymicrobial Biofilms and the Microbiome—A Review

2021 ◽  
Vol 9 (2) ◽  
pp. 417
Author(s):  
Sherli Koshy-Chenthittayil ◽  
Linda Archambault ◽  
Dhananjai Senthilkumar ◽  
Reinhard Laubenbacher ◽  
Pedro Mendes ◽  
...  
Keyword(s):  
Species Interactions ◽  
Computational Models ◽  
Human Microbiome ◽  
Agent Based Modeling ◽  
Autonomous Agent ◽  
Agent Based Models ◽  
Agent Based ◽  
Complex Interactions ◽  
Mucosal Surfaces ◽  
Living Organisms

The human microbiome has been a focus of intense study in recent years. Most of the living organisms comprising the microbiome exist in the form of biofilms on mucosal surfaces lining our digestive, respiratory, and genito-urinary tracts. While health-associated microbiota contribute to digestion, provide essential nutrients, and protect us from pathogens, disturbances due to illness or medical interventions contribute to infections, some that can be fatal. Myriad biological processes influence the make-up of the microbiota, for example: growth, division, death, and production of extracellular polymers (EPS), and metabolites. Inter-species interactions include competition, inhibition, and symbiosis. Computational models are becoming widely used to better understand these interactions. Agent-based modeling is a particularly useful computational approach to implement the various complex interactions in microbial communities when appropriately combined with an experimental approach. In these models, each cell is represented as an autonomous agent with its own set of rules, with different rules for each species. In this review, we will discuss innovations in agent-based modeling of biofilms and the microbiota in the past five years from the biological and mathematical perspectives and discuss how agent-based models can be further utilized to enhance our comprehension of the complex world of polymicrobial biofilms and the microbiome.

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