scholarly journals Developing an Adaptive Building Evacuation Simulation and Decision Support Framework using Cognitive Agent-Based Modelling

2022 ◽  
Author(s):  
Therese Anne Rollan ◽  
Leorey Marquez ◽  
Caslon Chua
Keyword(s):  
Decision Support ◽  
Cognitive Agent ◽  
Evacuation Simulation ◽  
Building Evacuation ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Decision Support Framework

An Ontology and Multi-Agent Based Decision Support Framework for Prefabricated Component Supply Chain

2019 ◽  
Vol 22 (6) ◽  
pp. 1467-1485 ◽  
Author(s):  
Juan Du ◽  
Hengqing Jing ◽  
Kim-Kwang Raymond Choo ◽  
Vijayan Sugumaran ◽  
Daniel Castro-Lacouture
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Agent Based ◽  
Decision Support Framework ◽  
Multi Agent

scholarly journals Agent based modelling as a decision support system for shadow accounting

2017 ◽  
Vol 95 ◽  
pp. 110-116 ◽  
Author(s):  
Thomas Chesney ◽  
Stefan Gold ◽  
Alexander Trautrims
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals The agent-based modelling as a decision support tool for brownfield redevelopment

2020 ◽  
Vol 18 (1) ◽  
pp. 65-75
Author(s):  
Tanja Mitrovic ◽  
Milica Vracaric
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Sustainable Urban Development ◽  
Brownfield Redevelopment ◽  
Support Tool ◽  
Agent Based ◽  
Agent Based Modelling ◽  
History Of ◽  
Development Plans

In recent history of urban studies there is a focus on sustainable urban development and long-term strategies. Dealing with brownfield redevelopment is of vital importance for the prosperous practice of urban planning. The current decisionmaking methods for brownfield redevelopment are mainly used for evaluating on-site situation, but not for future development plans. The purpose of this paper is to consider potential uses of agent-based modelling (ABM) in brownfield redevelopment decision support practice. In these models, agents are assigned with certain rules of behaviour that define their mutual interactions and allow simulations in a previously defined spatial framework. These collective behaviours influence the spatial patterns through interactions of individuals, which is reflected in the fact that the actions of the agents do not simply sum to the activity of the whole. This tool provides us with opportunity of observing possible scenarios of future brownfield development and making adequate decisions and strategies accordingly.

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