Advancing the Layered Approach to Agent-Based Crowd Simulation

2008 ◽  
Author(s):  
Bikramjit Banerjee ◽  
Ahmed Abukmail ◽  
Landon Kraemer
Keyword(s):  
Crowd Simulation ◽  
Agent Based ◽  
Layered Approach

scholarly journals Visualising Ostia’s Processional Landscape Through a Multi-Layered Computational Approach: Case Study of the Cult of the Magna Mater

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford
Keyword(s):  
Network Analysis ◽  
Computational Approach ◽  
Urban Network ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Existing Problems ◽  
Layered Approach ◽  
Religious Landscape ◽  
Insight Into

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.

scholarly journals ProactiveCrowd: Modelling Proactive Steering Behaviours for Agent-Based Crowd Simulation

2017 ◽  
Vol 37 (1) ◽  
pp. 375-388 ◽  
Author(s):  
Linbo Luo ◽  
Cheng Chai ◽  
Jianfeng Ma ◽  
Suiping Zhou ◽  
Wentong Cai
Keyword(s):  
Crowd Simulation ◽  
Agent Based

scholarly journals Autonomous Agents in 3D Crowd Simulation Through BDI Architecture

2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Sim Keng Wai ◽  
Cheah WaiShiang ◽  
Muhammad Asyraf Bin Khairuddin ◽  
Yanti Rosmunie Binti Bujang ◽  
Rahmat Hidayat ◽  
...  
Keyword(s):  
Social Sciences ◽  
Autonomous Agents ◽  
Crowd Simulation ◽  
Agent Architecture ◽  
Agent Based ◽  
Interacting Agents ◽  
The Social ◽  
Bush Fire ◽  
Bdi Architecture

Agent based simulation (ABS) is a paradigm to modelling systems included of autonomous and interacting agents. ABS has been tremendous growth and used by researchers in the social sciences to study socio-environmental complex systems. To date, various platforms have been introduced for agent-based social simulation. They are rule based in any logic, python based in SPADE and etc. Although those platforms have been introduced, there is still an insufficient to develop a crowd simulation in 3D platform. Having a 3D platform is needed to enabling the crowd simulation for training purposes. However, the current tools and platform still lack features to develop and simulate autonomous agents in the 3D world. This paper introduced a BDI plug in at Unity3D for crowd simulation. BDI is an intelligent agent architecture and it is able to develop autonomous agents in crowd environment. In this paper, we present the BDI plug with a case study of Australia bush fire and discuss a method to support autonomous agents' development in 3D crowd simulation. The tool allows the modeller to develop autonomous agents in 3D world by taking the advantages of Unity3D.

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