scholarly journals Organization as a Multi-level Design Pattern for Agent-based Simulation of Complex Systems

2021 ◽  
Author(s):  
Vianney Sicard ◽  
Mathieu Andraud ◽  
Sébastien Picault
Keyword(s):  
Complex Systems ◽  
Design Pattern ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Multi Level ◽  
Level Design

scholarly journals Effects of Different Staircase Design Factors on Evacuation of Children from Kindergarten Buildings Analyzed via Agent-Based Simulation

Healthcare ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 56
Author(s):  
Jiaxu Zhou ◽  
Xiaohu Jia ◽  
Junhan Jia
Keyword(s):  
Design Pattern ◽  
Architectural Design ◽  
Emergency Evacuation ◽  
Agent Based Simulation ◽  
Steering Angle ◽  
Agent Based ◽  
Rounded Corner ◽  
Evacuation Management ◽  
Design Factors ◽  
The Relationship

Staircase design is critical to the evacuation of children. Through an agent-based simulation, this study focused on the relationship between staircase design factors and evacuation efficiency in a multi-story kindergarten. A quantitative study was conducted on three critical architectural design factors: stair flight width, positional relationship, and design pattern of the juncture between the staircase and the corridor. The findings were as follows. (1) When the stair flight width ranges from 0.7 to 1.0 m, an increase in this width can improve evacuation efficiency significantly; when the width ranges from 1.1 to 1.4 m, evacuation efficiency is improved continuously, but an increase in this width range has a diminishing effect on evacuation efficiency; when the width is greater than 1.7 m, a further increase has an adverse effect on evacuation efficiency, because such a staircase space allows overtaking behaviors. (2) Under the same stair flight width conditions, evacuation efficiency is higher when the staircase and corridor are perpendicular to each other than when they are parallel, because the natural steering angle of the children was preserved during their evacuation. (3) The cut corner and rounded corner designs between the staircase and corridor improved evacuation efficiency and alleviated the congestion at bottleneck positions; the evacuation efficiency continued to rise with an increase in the cutting angle. These findings are expected to provide a useful reference for the evacuation design of kindergarten buildings and for emergency evacuation management.

SIMULATION AND ANALYSIS OF ADAPTIVE AGENTS: AN INTEGRATIVE MODELING APPROACH

2007 ◽  
Vol 10 (03) ◽  
pp. 335-357 ◽  
Author(s):  
TIBOR BOSSE ◽  
CATHOLIJN M. JONKER ◽  
JAN TREUR
Keyword(s):  
Complex Systems ◽  
Simulation Model ◽  
Real World ◽  
Representational Content ◽  
Simulation Methods ◽  
Agent Based Simulation ◽  
Adaptive Agents ◽  
Agent Based ◽  
Adaptation Mechanisms ◽  
Intermediate States

Agent-based simulation methods are a relatively new way to address complex systems. Usually, the idea is that the agents used are rather simple, and the complexity and adaptivity of such a system are modeled by the interaction between these agents. However, another way to exploit agent-based simulation methods is by use of agents that themselves also have certain forms of learning or adaptation. In order to simulate adaptive agents with abilities matching those of their real-world biological or societal counterparts, a natural approach is to incorporate certain adaptation mechanisms such as classical conditioning into agent models. Existing models for adaptation mechanisms are usually based on quantitative, numerical methods, and in particular, differential equations. Since agent-based simulation is usually based on qualitative, logical languages, these quantitative models are often not directly appropriate as an input in the context of agent-based simulation. To deal with this problem, this paper puts forward an integrative approach to simulate and analyze the dynamics of complex systems, in particular a conditioning process of an adaptive agent, integrating quantitative, numerical and qualitative, logical aspects within one expressive temporal specification language. To obtain a simulation model, an executable sublanguage of this language is used to specify the agent's adaptation mechanism in detail. For analysis and validation, in the proposed approach both properties characterising the externally observable adaptive behavior and properties characterizing the dynamics of internal intermediate states have been identified, formally specified and automatically checked on the generated simulation traces. As part of the latter, an approach to (formally) specify and check representational relations for intermediate, internal agent states is put forward. This enables verification of whether the representational content of an intermediate state a modeller has in mind indeed is in accordance with the agent model's internal dynamics. For a biological agent with known neural mechanisms, such as Aplysia, the modeling approach incorporates high-level modeling of neural states occurring as intermediate states and relates them to their representational content specification. This provides the possibility to validate not only the resulting observable behavior of a simulation model against the observable behavior of the agent in the real world, but also the intermediate states of the agent in the model against the intermediate states of the agent in the world.

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