Modelling urban expansion using a multi agent-based model in the city of Changsha

2010 ◽  
Vol 20 (4) ◽  
pp. 540-556 ◽  
Author(s):  
Honghui Zhang ◽  
Yongnian Zeng ◽  
Ling Bian ◽  
Xijun Yu
Keyword(s):  
Urban Expansion ◽  
Agent Based Model ◽  
Agent Based ◽  
Multi Agent ◽  
The City

An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response

2013 ◽  
pp. 218-233 ◽  
Author(s):  
John Wu ◽  
David Ben-Arieh ◽  
Zhenzhen Shi
Keyword(s):  
Simulation Model ◽  
Focal Point ◽  
Therapeutic Interventions ◽  
Prognostic Indicators ◽  
Simulation Approach ◽  
Agent Based Model ◽  
Agent Based ◽  
Initial Stage ◽  
Agent Simulation ◽  
Multi Agent

This research proposes an agent-based simulation model combined with the strength of systemic dynamic mathematical model, providing a new modeling and simulation approach of the pathogenesis of AIR. AIR is the initial stage of a typical sepsis episode, often leading to severe sepsis or septic shocks. The process of AIR has been in the focal point affecting more than 750,000 patients annually in the United State alone. Based on the agent-based model presented herein, clinicians can predict the sepsis pathogenesis for patients using the prognostic indicators from the simulation results, planning the proper therapeutic interventions accordingly. Impressively, the modeling approach presented creates a friendly user-interface allowing physicians to visualize and capture the potential AIR progression patterns. Based on the computational studies, the simulated behavior of the agent–based model conforms to the mechanisms described by the system dynamics mathematical models established in previous research.

Development of a Multi-Agent Based Model for Heterogeneous Traffic Flow Analysis

2017 ◽  
Vol 50 (2) ◽  
pp. 114-120
Author(s):  
Naheem Olakunle Adesina ◽  
◽  
Abiodun Alani Ogunseye ◽  
Akindele Opeyemi Areegbe ◽  
Thomas Kokumo Yesufu
Keyword(s):  
Traffic Flow ◽  
Flow Analysis ◽  
Heterogeneous Traffic ◽  
Agent Based Model ◽  
Agent Based ◽  
Multi Agent ◽  
Traffic Flow Analysis

Multi Agent Based Model for Earthquake Intensity Prediction

2015 ◽  
Vol 12 (12) ◽  
pp. 5765-5777
Author(s):  
Faisal Azam ◽  
Muhammad Sharif ◽  
Sajjad Mohsin
Keyword(s):  
Agent Based Model ◽  
Earthquake Intensity ◽  
Agent Based ◽  
Intensity Prediction ◽  
Multi Agent
Sign in / Sign up

Export Citation Format

Share Document