scholarly journals Validation techniques of agent based modelling for geospatial simulations

2014 ◽  
Vol XL-2/W3 ◽  
pp. 91-95 ◽  
Author(s):  
M. Darvishi ◽  
G. Ahmadi
Keyword(s):  
Modelling And Simulation ◽  
Human Cognition ◽  
Complex Nature ◽  
Agent Based ◽  
The Real ◽  
Agent Based Modelling ◽  
Emergence Patterns ◽  
Wide Range ◽  
Geospatial Modelling ◽  
Gis Software

One of the most interesting aspects of modelling and simulation study is to describe the real world phenomena that have specific properties; especially those that are in large scales and have dynamic and complex behaviours. Studying these phenomena in the laboratory is costly and in most cases it is impossible. Therefore, Miniaturization of world phenomena in the framework of a model in order to simulate the real phenomena is a reasonable and scientific approach to understand the world. Agent-based modelling and simulation (ABMS) is a new modelling method comprising of multiple interacting agent. They have been used in the different areas; for instance, geographic information system (GIS), biology, economics, social science and computer science. The emergence of ABM toolkits in GIS software libraries (e.g. ESRI’s ArcGIS, OpenMap, GeoTools, etc) for geospatial modelling is an indication of the growing interest of users to use of special capabilities of ABMS. Since ABMS is inherently similar to human cognition, therefore it could be built easily and applicable to wide range applications than a traditional simulation. But a key challenge about ABMS is difficulty in their validation and verification. Because of frequent emergence patterns, strong dynamics in the system and the complex nature of ABMS, it is hard to validate and verify ABMS by conventional validation methods. Therefore, attempt to find appropriate validation techniques for ABM seems to be necessary. In this paper, after reviewing on Principles and Concepts of ABM for and its applications, the validation techniques and challenges of ABM validation are discussed.

scholarly journals Agent-based Modelling and Simulation for Circular Business Model Experimentation

2021 ◽  
pp. 200055
Author(s):  
Kasper P.H. Lange ◽  
Gijsbert Korevaar ◽  
Inge F. Oskam ◽  
Igor Nikolic ◽  
Paulien M. Herder
Keyword(s):  
Business Model ◽  
Modelling And Simulation ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Communication During Bushfires, Towards a Serious Game for a Serious Matter

2018 ◽  
Vol 10 (2) ◽  
pp. 79-105 ◽  
Author(s):  
Carole Adam ◽  
Charles Bailly ◽  
Julie Dugdale
Keyword(s):  
Social Sciences ◽  
General Public ◽  
Communication Strategies ◽  
Modelling And Simulation ◽  
Serious Game ◽  
Mutual Understanding ◽  
Valuable Insight ◽  
Communication Model ◽  
Agent Based ◽  
Agent Based Modelling

Australia is frequently hit by bushfires. In 2009, the ''Black Saturday'' fires killed 173 people and burnt hectares of bush. As a result, a research commission was created to investigate, and concluded that several aspects could be improved, in particular better understanding of the population actual behaviour, and better communication with them. The authors argue that agent-based modelling and simulation is a great approach to provide tools to improve mutual understanding: let managers test communication strategies, and let residents understand the managers' perspective. Concretely, they extended an existing simulator with a theoretically-grounded communication model based in social sciences; they added user interactivity with the model and investigated gamification to turn it into a serious game to involve the general public. The authors present the results of first experiments with different communication strategies, providing valuable insight for better communication with the population during such events. Finally, they discuss future extensions and generalisation of this simulator.

scholarly journals Is there a Need for Agent-based Modelling and Simulation in Business Process Management?

Organizacija ◽  
2018 ◽  
Vol 51 (4) ◽  
pp. 255-269 ◽  
Author(s):  
Michal Halaška ◽  
Roman Šperka
Keyword(s):  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Well Being ◽  
Modelling And Simulation ◽  
Simulation Experiments ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Advantages And Disadvantages ◽  
The Impact

AbstractBackground and Purpose: Agent-based modelling and simulation (ABS) is growing in many areas like, e.g., management, social and computer sciences. However, the similar trend does not seem to occur within the field of business process management (BPM), even though simulation approaches like discrete event simulation or system dynamics are well established and widely used. Thus, in our paper we investigate the advantages and disadvantages of agent-based modelling and simulation in the field of BPM in simulation experiments.Design/Methodology/Approach: In our research, we investigate if there is a necessity for ABS in the field of BPM with our own simulation experiments to compare traditional and ABS models. For this purpose, we use simulation framework MAREA, which is a simulation environment with integrated ERP system. Our model is a complex system of a trading company selling computer cables. For the verification of our model, we use automated process discovery techniques.Results: In our simulations, we investigated the impact of changes in resources’ behavior on the outcome of company’s order to cash process (O2C). Simulations experiments demonstrated that even small changes might have statistically significant effect on outcomes of the processes and decisions based on such outcomes. Simulation experiments also demonstrated that the impact of randomly distributed fluctuations of well-being have a diminishing tendency with the increasing number of sales representatives involved in the process.Conclusions: Our research revealed several advantages and disadvantages of using ABS in business process modelling. However, as we show, many of them were at least partially addressed in the recent years. Thus, we believe that ABS will get more attention in the field of BPM similarly to other fields like, e.g., social sciences. We suggested areas in BPM simulations, e.g., modelling of resources, be it human or technological resources, where there is a need for ABS.

scholarly journals Towards a complex systems approach in sports injury research: simulating running-related injury development with agent-based modelling

2018 ◽  
Vol 53 (9) ◽  
pp. 560-569 ◽  
Author(s):  
Adam Hulme ◽  
Jason Thompson ◽  
Rasmus Oestergaard Nielsen ◽  
Gemma J M Read ◽  
Paul M Salmon
Keyword(s):  
Complex Systems ◽  
Systems Approach ◽  
Computational Modelling ◽  
Sports Injury ◽  
Physical Workload ◽  
Complex Nature ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Starting Point ◽  
Injury Research

ObjectivesThere have been recent calls for the application of the complex systems approach in sports injury research. However, beyond theoretical description and static models of complexity, little progress has been made towards formalising this approach in way that is practical to sports injury scientists and clinicians. Therefore, our objective was to use a computational modelling method and develop a dynamic simulation in sports injury research.MethodsAgent-based modelling (ABM) was used to model the occurrence of sports injury in a synthetic athlete population. The ABM was developed based on sports injury causal frameworks and was applied in the context of distance running-related injury (RRI). Using the acute:chronic workload ratio (ACWR), we simulated the dynamic relationship between changes in weekly running distance and RRI through the manipulation of various ‘athlete management tools’.ResultsThe findings confirmed that building weekly running distances over time, even within the reported ACWR ‘sweet spot’, will eventually result in RRI as athletes reach and surpass their individual physical workload limits. Introducing training-related error into the simulation and the modelling of a ‘hard ceiling’ dynamic resulted in a higher RRI incidence proportion across the population at higher absolute workloads.ConclusionsThe presented simulation offers a practical starting point to further apply more sophisticated computational models that can account for the complex nature of sports injury aetiology. Alongside traditional forms of scientific inquiry, the use of ABM and other simulation-based techniques could be considered as a complementary and alternative methodological approach in sports injury research.

Complex Adaptive Logistics System Optimization Using Agent-Based Modelling and Simulation

2013 ◽  
pp. 223-236
Keyword(s):  
Experimental Study ◽  
Extreme Events ◽  
System Optimization ◽  
Modelling And Simulation ◽  
Future Trends ◽  
Logistics System ◽  
Research Directions ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Complex Adaptive

This chapter examines how to control the extreme events happening when a complex adaptive logistics system is implemented in used product remanufacturing, particularly in the used products transhipment stage. The chapter starts with an introduction about the necessity of introducing the complex adaptive logistics system. Then, the related studies dealing with similar issues are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., the agent-based modelling and simulation) can be found in the proposed methodology section. Right after this, an illustrative simulation example is discussed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusions drawn in the last section close this chapter.

Used Products Return Pattern Analysis Using Agent-Based Modelling and Simulation

2013 ◽  
pp. 38-58
Keyword(s):  
Experimental Study ◽  
Service Quality ◽  
Pattern Analysis ◽  
End Users ◽  
Modelling And Simulation ◽  
Future Trends ◽  
Problem Statement ◽  
Research Directions ◽  
Agent Based ◽  
Agent Based Modelling

This chapter examines the used products return service quality perceived by the end users and their corresponding willingness-to-return with respect to the used products in their possession. The chapter starts with an introduction about the issue of return quantity encountered at the used product collection stage. Then, related studies dealing with returns quantity are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., agent-based modelling and simulation) can be found in the proposed methodology section. Right after this, three simulations, with each one linked to a specific used products return scenario, are conducted in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.

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