scholarly journals The Innovation Network as a Complex Adaptive System: Flexible Multi-agent Based Modeling, Simulation, and Evolutionary Decision Making

2014 ◽  
Author(s):  
Qingqi Long ◽  
Shuliang Li
Keyword(s):  
Decision Making ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Agent Based Modeling ◽  
Innovation Network ◽  
Agent Based ◽  
Modeling Simulation ◽  
Complex Adaptive ◽  
Multi Agent

scholarly journals System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management

2018 ◽  
Vol 10 (7) ◽  
pp. 2484 ◽  
Author(s):  
Zhikun Ding ◽  
Wenyan Gong ◽  
Shenghan Li ◽  
Zezhou Wu
Keyword(s):  
Waste Management ◽  
System Dynamics ◽  
Complex Adaptive System ◽  
Agent Based Modeling ◽  
Effective Management ◽  
Construction Waste ◽  
Agent Based ◽  
Complex Adaptive ◽  
Research Findings ◽  
Novel Model

The environmental impacts caused by construction waste have attracted increasing attention in recent years. The effective management of construction waste is essential in order to reduce negative environmental influences. Construction waste management (CWM) can be viewed as a complex adaptive system, as it involves not only various factors (e.g., social, economic, and environmental), but also different stakeholders (such as developers, contractors, designers, and governmental departments) simultaneously. System dynamics (SD) and agent-based modeling (ABM) are the two most popular approaches to deal with the complexity in CWM systems. However, the two approaches have their own advantages and drawbacks. The aim of this research is to conduct a comprehensive review and develop a novel model for combining the advantages of both SD and ABM. The research findings revealed that two options can be considered when combining SD with ABM; the two options are discussed.

scholarly journals Organizational information security as a complex adaptive system: insights from three agent-based models

2015 ◽  
Vol 19 (3) ◽  
pp. 509-524 ◽  
Author(s):  
A. J. Burns ◽  
Clay Posey ◽  
James F. Courtney ◽  
Tom L. Roberts ◽  
Prabhashi Nanayakkara
Keyword(s):  
Information Security ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Agent Based Models ◽  
Agent Based ◽  
Organizational Information ◽  
Complex Adaptive

Multi-Agent Based Modeling Simulation about VANET

2013 ◽  
Vol 760-762 ◽  
pp. 680-684
Author(s):  
Shan Shan Wan ◽  
Dong Liang Wang ◽  
Qing Cao
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Agent Based Modeling ◽  
Emergent Behavior ◽  
Self Organization ◽  
Working Mechanism ◽  
Agent Based ◽  
Modeling Simulation ◽  
Large Numbers ◽  
Multi Agent

The self-organization characteristics and the interaction between a large numbers of self-organizing vehicles are complexity, to obtain a more accurate model of vehicular Ad-hoc network (VANET) and obtain a more profound comprehension of the complex behavior working mechanism of the vehicle in the VANET environment multi-agent based and bottom-up modeling approach is proposed here. It aims to describe the dynamics of VANET caused by the different behaviors of vehicular. The simulation tool for vehicular misbehaviors is developed with multi-agent. It aims to and be able to effectively reproduce the real VANET scene. Though the multi-agent based modeling the emergent behavior and sudden existing behaviors of VANET entities are well reflected.

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