Dynamically Tracking the Real World in an Agent-Based Model

2014 ◽  
pp. 3-16 ◽  
Author(s):  
H. Van Dyke Parunak ◽  
S. Hugh Brooks ◽  
Sven Brueckner ◽  
Ravi Gupta
Keyword(s):  
Real World ◽  
Agent Based Model ◽  
Agent Based ◽  
The Real

Findings and Conclusion

2017 ◽  
pp. 68-77
Keyword(s):  
Real World ◽  
Latent Variables ◽  
International Community ◽  
Agent Based Model ◽  
Agent Based ◽  
The Real ◽  
Humanitarian Operations ◽  
Nation States ◽  
Specific Country

This study has produced several insights into the pitfalls of intervening in the affairs of distressed nation states as well as providing a degree of specificity regarding latent variables that exist within the real world scenarios this study is based upon. While extremely simple in design, the agent based model utilized in this study proved to mirror the complex and fluid nature of complex humanitarian operations undertaken by the international community in troubled nations. The scenario utilized was based upon a specific country backdrop, Afghanistan, and utilized some case specifics of that operation to provide a reality based fidelity. The model itself however, is general in nature and can be readily adjusted to examine variables congruent with differing circumstances.

scholarly journals Simulation Agent-Based Model to Demonstrate the Transmission of COVID-19 and Effectiveness of Different Public Health Strategies

2021 ◽  
Vol 3 ◽  
Author(s):  
Yixing Wang ◽  
Hainan Xiong ◽  
Sijie Liu ◽  
Ara Jung ◽  
Trish Stone ◽  
...  
Keyword(s):  
Public Health ◽  
Real World ◽  
General Public ◽  
Intervention Strategies ◽  
Agent Based Model ◽  
Agent Based ◽  
The Real ◽  
The World ◽  
Public Health Strategies ◽  
Health Experts

COVID-19 has changed the world fundamentally since its outbreak in January 2020. Public health experts and administrations around the world suggested and implemented various intervention strategies to slow down the transmission of the virus. To illustrate to the general public how the virus is transmitted and how different intervention strategies can check the transmission, we built an agent-based model (ABM) to simulate the transmission of the virus in the real world and demonstrate how to prevent its spread with public health strategies.

An Agent-Based Model of Lost Person Dynamics for Enabling Wilderness Search and Rescue

2019 ◽  
Author(s):  
Amanda Hashimoto ◽  
Nicole Abaid
Keyword(s):  
Real World ◽  
Random Variable ◽  
Fixed Time ◽  
Search And Rescue ◽  
Agent Based Model ◽  
Real World Data ◽  
Agent Based ◽  
World Data ◽  
Analogous Data ◽  
Behavior Strategies

Abstract In this paper, we introduce an agent-based model of lost person behavior that may be used to improve current methods for wilderness search and rescue (SAR). The model defines agents moving on a landscape with behavior considered as a random variable. The behavior uses a distribution of four known lost person behavior strategies in order to simulate possible trajectories for the agent. We simulate all possible distributions of behaviors in the model and compute distributions of horizontal distances traveled in a fixed time. By comparing these results to analogous data from a database of lost person cases, we explore the model’s validity with respect to real-world data.

scholarly journals Agent-Based Distributed Planning and Coordination for Resilient Airport Surface Movement Operations

Aerospace ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 48
Author(s):  
Konstantine Fines ◽  
Alexei Sharpanskykh ◽  
Matthieu Vert
Keyword(s):  
Real World ◽  
Coordination Mechanisms ◽  
Multi Agent System ◽  
Distributed Planning ◽  
Agent Based ◽  
Surface Movement ◽  
The Real ◽  
Complex Processes ◽  
Multi Agent ◽  
Operational Data

Airport surface movement operations are complex processes with many types of adverse events which require resilient, safe, and efficient responses. One regularly occurring adverse event is that of runway reconfiguration. Agent-based distributed planning and coordination has shown promising results in controlling operations in complex systems, especially during disturbances. In contrast to the centralised approaches, distributed planning is performed by several agents, which coordinate plans with each other. This research evaluates the contribution of agent-based distributed planning and coordination to the resilience of airport surface movement operations when runway reconfigurations occur. An autonomous Multi-Agent System (MAS) model was created based on the layout and airport surface movement operations of Schiphol Airport in the Netherlands. Within the MAS model, three distributed planning and coordination mechanisms were incorporated, based on the Conflict-Based Search (CBS) Multi-Agent Path Finding (MAPF) algorithm and adaptive highways. MAS simulations were run based on eight days of real-world operational data from Schiphol Airport and the results of the autonomous MAS simulations were compared to the performance of the real-world human operated system. The MAS results show that the distributed planning and coordination mechanisms were effective in contributing to the resilient behaviour of the airport surface movement operations, closely following the real-world behaviour, and sometimes even surpassing it. In particular, the mechanisms were found to contribute to more resilient behaviour than the real-world when considering the taxi time after runway reconfiguration events. Finally, the highway included distributed planning and coordination mechanisms contributed to the most resilient behaviour of the airport surface movement operations.

scholarly journals Improving Model Predictions—Integration of Real-Time Sensor Data into a Running Simulation of an Agent-Based Model

2021 ◽  
Vol 13 (13) ◽  
pp. 7000
Author(s):  
Ulfia A. Lenfers ◽  
Nima Ahmady-Moghaddam ◽  
Daniel Glake ◽  
Florian Ocker ◽  
Daniel Osterholz ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
City Planning ◽  
Sensor Data ◽  
City Management ◽  
Proof Of Concept ◽  
Agent Based Model ◽  
Time Data ◽  
Agent Based ◽  
Real Time Data

The current trend towards living in big cities contributes to an increased demand for efficient and sustainable space and resource allocation in urban environments. This leads to enormous pressure for resource minimization in city planning. One pillar of efficient city management is a smart intermodal traffic system. Planning and organizing the various kinds of modes of transport in a complex and dynamically adaptive system such as a city is inherently challenging. By deliberately simplifying reality, models can help decision-makers shape the traffic systems of tomorrow. Meanwhile, Smart City initiatives are investing in sensors to observe and manage many kinds of urban resources, making up a part of the Internet of Things (IoT) that produces massive amounts of data relevant for urban planning and monitoring. We use these new data sources of smart cities by integrating real-time data of IoT sensors in an ongoing simulation. In this sense, the model is a digital twin of its real-world counterpart, being augmented with real-world data. To our knowledge, this is a novel instance of real-time correction during simulation of an agent-based model. The process of creating a valid mapping between model components and real-world objects posed several challenges and offered valuable insights, particularly when studying the interaction between humans and their environment. As a proof-of-concept for our implementation, we designed a showcase with bike rental stations in Hamburg-Harburg, a southern district of Hamburg, Germany. Our objective was to investigate the concept of real-time data correction in agent-based modeling, which we consider to hold great potential for improving the predictive capabilities of models. In particular, we hope that the chosen proof-of-concept informs the ongoing politically supported trends in mobility—away from individual and private transport and towards—in Hamburg.

OPEN PROBLEMS IN USING AGENT-BASED MODELS IN INDUSTRIAL AND LABOR DYNAMICS

2004 ◽  
Vol 07 (02) ◽  
pp. 285-288 ◽  
Author(s):  
NIGEL GILBERT
Keyword(s):  
Real World ◽  
Agent Based Modeling ◽  
Agent Based Models ◽  
Open Problems ◽  
Agent Based ◽  
The Real ◽  
Methodological Problems ◽  
Explanatory Success ◽  
Labor Dynamics ◽  
Main Attraction

The preceding papers have shown the impressive versatility and potential of agent-based modeling in developing an understanding of industrial and labor dynamics. The main attraction of agent-based models is that the actors — firms, workers, and networks — that are the objects of study in the 'real world,' can be represented directly in the model. This one-to-one correspondence between model agents and economic actors provides greater clarity and more opportunities for analysis than many alternative modeling approaches. However, the advantages of agent-based modeling have to be tempered by disadvantages and as yet unsolved methodological problems. In this brief summary drawn from the discussion at the closing session of WILD@ACE, we review three of these open problems in the context of the papers presented at the conference: How can agent-based models be empirically validated? What criteria should be used to evaluate the explanatory success of agent-based models? And how can the conclusions of research on similar topics be integrated?

scholarly journals Investigating the Random Seat Boarding Method without Seat Assignments with Common Boarding Practices Using an Agent-Based Modeling

2018 ◽  
Vol 10 (12) ◽  
pp. 4623 ◽  
Author(s):  
Camelia Delcea ◽  
Liviu-Adrian Cotfas ◽  
Mostafa Salari ◽  
R. Milne
Keyword(s):  
Human Subjects ◽  
Agent Based Modeling ◽  
The Other ◽  
Agent Based Model ◽  
Agent Based ◽  
The Real ◽  
The World

Research related to creating new and improved airplane boarding methods has seen continuous advancement, in recent years, while most of the airline companies have remained committed to the traditional boarding methods. Among the most-used boarding methods, around the world, are back-to-front and random boarding with and without assigned seats. While the other boarding methods used in practice possess strict rules for passengers’ behavior, random without assigned seats is dependent on the passengers own way of choosing the “best” seats. The aim of this paper is to meticulously model the passengers’ behavior, especially, in random boarding without assigned seats and to test its efficiency in terms of boarding time and interferences, in comparison with the other commonly-adopted methods (random boarding with assigned seats, window-middle-aisle (WilMA), back-to-front, reverse pyramid, etc.). One of the main challenges in our endeavor was the identification of the real human passengers’ way of reasoning, when selecting their seats, and creating a model in which the agents possess preferences and make decisions, as close to those decisions made by the human passengers, as possible. We model their choices based on completed questionnaires from three hundred and eighty-seven human subjects. This paper describes the resulting agent-based model and results from the simulations.

scholarly journals Effectiveness of Intervention Strategies on MERS-CoV Transmission Dynamics in South Korea, 2015: Simulations on the Network Based on the Real-World Contact Data

2021 ◽  
Vol 18 (7) ◽  
pp. 3530
Author(s):  
Yunhwan Kim ◽  
Hohyung Ryu ◽  
Sunmi Lee
Keyword(s):  
South Korea ◽  
Real World ◽  
Intervention Strategies ◽  
Transmission Dynamics ◽  
Contact Tracing ◽  
Agent Based ◽  
The Real ◽  
Scale Free ◽  
Contact Data

The MERS-CoV spread in South Korea in 2015 was not only the largest outbreak of MERS-CoV in the region other than the Middle East but also a historic epidemic in South Korea. Thus, investigation of the MERS-CoV transmission dynamics, especially by agent-based modeling, would be meaningful for devising intervention strategies for novel infectious diseases. In this study, an agent-based model on MERS-CoV transmission in South Korea in 2015 was built and analyzed. The prominent characteristic of this model was that it built the simulation environment based on the real-world contact tracing network, which can be characterized as being scale-free. In the simulations, we explored the effectiveness of three possible intervention scenarios; mass quarantine, isolation, and isolation combined with acquaintance quarantine. The differences in MERS-CoV transmission dynamics by the number of links of the index case agent were examined. The simulation results indicate that isolation combined with acquaintance quarantine is more effective than others, and they also suggest the key role of super-spreaders in MERS-CoV transmission.

scholarly journals Examining Evacuee Response to Emergency Communications with Agent-Based Simulations

2021 ◽  
Vol 13 (9) ◽  
pp. 4623
Author(s):  
C. Natalie van der Wal ◽  
Daniel Formolo ◽  
Mark A. Robinson ◽  
Steven Gwynne
Keyword(s):  
Real World ◽  
Communication Strategies ◽  
Assessment Practice ◽  
Emergency Communication ◽  
Agent Based ◽  
The Real ◽  
Public Announcements ◽  
Agent Based Simulations ◽  
English Speaking ◽  
Emergency Exit

To improve communication during emergencies, this research introduces an agent-based modeling (ABM) method to test the effect of psychological emergency communication strategies on evacuation performance. We follow a generative social science approach in which agent-based simulations allow for testing different candidate solutions. Unlike traditional methods, such as laboratory experiments and field observations, ABM simulation allows high-risk and infrequent scenarios to be empirically examined before applying the lessons in the real world. This is essential, as emergency communication with diverse crowds can be challenging due to language barriers, conflicting social identities, different cultural mindsets, and crowd demographics. Improving emergency communication could therefore improve evacuations, reduce injuries, and ultimately save lives. We demonstrate this ABM method by determining the effectiveness of three communication strategies for different crowd compositions in transport terminals: (1) dynamic emergency exit floor lighting directing people to exits, (2) staff guiding people to exits with verbal and physical instructions, and (3) public announcements in English. The simulation results indicated that dynamic emergency exit floor lighting and staff guiding people to exits were only beneficial for high-density crowds and those unfamiliar with the environment. Furthermore, English public announcements actually slowed the evacuation for mainly English-speaking crowds, due to simultaneous egress causing congestion at exits, but improved evacuation speed in multicultural, multilingual crowds. Based on these results, we make recommendations about which communication strategies to apply in the real world to demonstrate the utility of this ABM simulation approach for risk assessment practice.

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