An Agent-Based Model for Understanding the Influence of the 11-M Terrorist Attacks on the 2004 Spanish Elections

Moya, Ignacio; Chica, Manuel; Sáez-Lozano, José Luis; Cordón, Óscar

doi:10.2139/ssrn.2878473

Cited by 9 publications

(10 citation statements)

References 57 publications

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“…The reach parameter (r c ∈ [0, 1], ∀c ∈ C) regulates the maximum percentage of the population that can be reached by channel c during a single step. We can schedule the resulting media impressions over the agent population using the given investment by assigning them at random between the agents without violating the reach constraints for the media channel [51], [58].…”

Section: A Abm General Structurementioning

confidence: 99%

Evolutionary Multiobjective Optimization for Automatic Agent-Based Model Calibration: A Comparative Study

2021

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Complex problems can be analyzed by using model simulation but its use is not straight-forward since modelers must carefully calibrate and validate their models before using them. This is specially relevant for models considering multiple outputs as its calibration requires handling different criteria jointly. This can be achieved using automated calibration and evolutionary multiobjective optimization methods which are the state of the art in multiobjective optimization as they can find a set of representative Pareto solutions under these restrictions and in a single run. However, selecting the best algorithm for performing automated calibration can be overwhelming. Therefore, we propose to deal with this issue by conducting an exhaustive analysis of the performance of several evolutionary multiobjective optimization algorithms when calibrating several instances of an agent-based model for marketing with multiple outputs. We analyze the calibration results using multiobjective performance indicators and attainment surfaces, including a statistical test for studying the significance of the indicator values, and benchmarking their performance with respect to a classical mathematical method. The results of our experimentation reflect that those algorithms based on decomposition perform significantly better than the remaining methods in most instances. Besides, we also identify how different properties of the problem instances (i.e., the shape of the feasible region, the shape of the Pareto front, and the increased dimensionality) erode the behavior of the algorithms to different degrees.INDEX TERMS Model calibration, agent-based modeling, evolutionary multiobjective optimization.

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Section: A Abm General Structurementioning

confidence: 99%

Evolutionary Multiobjective Optimization for Automatic Agent-Based Model Calibration: A Comparative Study

2021

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“…Residents may have different safety preferences depending on their age and family structure. 29 Based on the environments of residents and families, the differences in safety preferences between urban residents and families can lead to different levels of satisfaction, which can be influenced by the satisfaction of the surrounding residents and families. 30,31 Family satisfaction is an important basis for family decision making.…”

Section: Construction Of An Urban Safety Livability Change Model Bmentioning

confidence: 99%

A multi-agent model of changes in urban safety livability

Pan

Qin

et al. 2020

SIMULATION

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Urban livability is an important factor in decisions regarding modern urban construction. Based on multi-agent modeling theory, a model of the changes in urban safety livability is proposed to analyze the present situation and the trends in urban safety livability in complex urban systems. Considering safety as an example, five environmental indicators, namely public security, fire protection, traffic, emergency response, and residence, are selected. The interactive dynamic feedback mechanisms among resident decision-making behaviors and urban safety livability in the context of these five indicators and relevant policies are provided. A simulation of the changes in urban safety livability is implemented based on resident behaviors. The results show that the multi-agent modeling method is effective for analyzing urban safety livability and can provide decision support for urban development planning.

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“…For instance, Roozmand et al 55 provided an agent‐based computational model to simulate consumers' decision process, in which factors such as culture, personality, and human needs were considered. Public opinion studies based on ABM can be found in References 56‐59. Currently the hot machine learning methods are also attracting attentions.…”

Section: Introductionmentioning

confidence: 99%

Micro‐macro dynamics of the online opinion evolution: An asynchronous network model approach

Yang

Liu

2020

Concurrency and Computation

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Summary This article investigates the complex relationship between endogenous and exogenous, deterministic and stochastic stimulating factors in public opinion dynamics. An asynchronous multiagent network model is proposed to explore the interaction mechanism between individual opinions and the public opinion in online multiagent network community, including both the micro and the macro patterns of opinion evolution. In addition, based on random network models, a novel algorithm is provided for opinion evolution prediction. The model property analysis and numerical experiments show that the proposed asynchronous multiagent network model can assimilate and explain some interesting phenomena that are observed in the real world. Further case studies with numerical simulation and real‐world applications confirm the feasibility and flexibility of the proposed model in public opinion analysis. The results challenge the common perception that mass media or opinion facilitators play the fundamental role in controlling the development trends of public opinion. This study shows that the formation and evolution of public opinion in the presence of opinion leaders depend also on an individual's emotional inertia and conformity pressures from peers in the same topic group.

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An Agent-Based Model for Understanding the Influence of the 11-M Terrorist Attacks on the 2004 Spanish Elections

Cited by 9 publications

References 57 publications

Evolutionary Multiobjective Optimization for Automatic Agent-Based Model Calibration: A Comparative Study

Evolutionary Multiobjective Optimization for Automatic Agent-Based Model Calibration: A Comparative Study

A multi-agent model of changes in urban safety livability

Micro‐macro dynamics of the online opinion evolution: An asynchronous network model approach

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