In this research we study the statistical mechanics of cooperation through a simple case of aspiration-driven dynamics in structured populations with mixed strategies. Comparing to the existing literature, we define a...
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ISBN:
(纸本)9783030929169;9783030929152
In this research we study the statistical mechanics of cooperation through a simple case of aspiration-driven dynamics in structured populations with mixed strategies. Comparing to the existing literature, we define a pool of possible behaviors for the agents based on the bandits learning algorithms and we highlight settings of the Iterated Prisoner's Dilemma Game which may have positive influence on the emergence of cooperation from the aspect of both the entire population and the individual players. We present the level of cooperation and its variation in terms of the median (M) and the interquartile range (IQ) in accordance to the observed topological characteristics of the network structures and partner selection strategies. Our experimental results show that regardless of the underlying network structures, it is difficult to maintain a fully cooperative society in the shade of Random and Epsilon Greedy partner selection strategies. The reported Median values are the lowest and the changes in the IQRs do not follow a sharp increase or decrease in both strategies. Contrary to this, it will even take a shorter time to see a fully cooperative population though UCB, Epsilon First and Epsilon Decreasing strategies. Our observation with respect to different network structures also shows that, considering a certain level of heterogeneity both in terms of distance to others as well as clustering coefficient is more conductive in the spread of cooperative behavior among a networked population.
The paper addresses the issue of determining the parameter values of the agent-based model of social campaign message adoption relying on Bass's classical innovation diffusion model. The problem concerns the param...
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The paper addresses the issue of determining the parameter values of the agent-based model of social campaign message adoption relying on Bass's classical innovation diffusion model. The problem concerns the parameters that reflect the influence of advertising and social communication on the adoption of the idea conveyed in the social campaign. Due to the fact that the factors influencing the behavior of message recipients are conditioned by their personality, circumstances or reaction to the environment, the conventional methods for estimating these parameters may not deliver a model reproducing reality with the required accuracy. Therefore, this paper proposes a procedure for determining the values of agent-based model parameters that relies on an experimental data acquisition procedure using a combination of cognitive neuroscience techniques and a survey method. The presented research examines a social campaign promoting road safety. The obtained results prove the suitability of the suggested solution for estimating the parameters of the agent-based model of social campaign message adoption. The proposed approach contributes to the methodology of data collection and parameter estimation in building agent-based models, although it is not without some limitations. (C) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of KES international.
The vector parabolic equation (VPE) method is a promising tool for high-fidelity radio wave propagation modeling in large-scale guiding structures such as tunnels. However, simulation with VPE for a large distance sti...
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The vector parabolic equation (VPE) method is a promising tool for high-fidelity radio wave propagation modeling in large-scale guiding structures such as tunnels. However, simulation with VPE for a large distance still requires computing resources that can be practically prohibitive. This paper presents a convolutional neural network (CNN) based model that uses VPE simulations with low computing costs to provide high-fidelity received signal strength (RSS) prediction. The performance of three CNN models (i.e., basic CNN, sub-pixel CNN, and residual network) with different architectures and different upscaling methods is compared. Their accuracy and efficiency are tested in various tunnel cases.
The electric vehicle generates more serious electromagnetic interference than the traditional cars. As one of the core components, the battery pack affect the vehicle's electronic equipment seriously and it is sus...
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Patients that have suffered a myocardial infarction are at lifetime high risk for sudden cardiac death (SCD). Personalized 3D computational modeling and simulation can help to find non-invasively arrhythmogenic featur...
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The proceedings contain 18 papers. The special focus in this conference is on Model-Based Safety and Assessment. The topics include: Towards Causal Model-Based Engineering in Automotive System Safety;preface;An A...
ISBN:
(纸本)9783031158414
The proceedings contain 18 papers. The special focus in this conference is on Model-Based Safety and Assessment. The topics include: Towards Causal Model-Based Engineering in Automotive System Safety;preface;An AEBS Use Case for Model-Based System Design Integrating Safety Analyses and simulation;performance Assessment of an Offshore Windmill Farm with AltaRica 3.0;Component Fault and Deficiency Tree (CFDT): Combining Functional Safety and SOTIF Analysis;a Capella-Based Tool for the Early Assessment of Nano/Micro Satellites Availability;Analysing the Impact of Security Attacks on Safety Using SysML and Event-B;a Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms;Tool Paper: Time Series Anomaly Detection Platform for MATLAB Simulink;keep Your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring;engineering Dynamic Risk and Capability Models to Improve Cooperation Efficiency Between Human Workers and Autonomous Mobile Robots in Shared Spaces;SafeDrones: Real-Time Reliability Evaluation of UAVs Using Executable Digital Dependable Identities;COMPASTA: Extending TASTE with Formal Design and Verification Functionality;MBSA in Aeronautics: A Way to Support Safety Activities;modeling the Variability of System Safety Analysis Using State-Machine Diagrams;model-Based Safety Analysis: A Practical Experience.
Deep reinforcement learning (DRL) techniques give robotics research an AI boost in many applications. In order to simultaneously accommodate the complex robotic behaviour simulation and DRL algorithm verification, a n...
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With the development of the society, people increasingly frequent application in social network, the formation of social networking groups become important step in people's life. How to analyze the evolution of so...
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In this paper, we presented a WNCS co-simulation platform based on OPNET/Simulink to verify the validity of the theory and method proposed in the study of wireless network control system (WNCS). The platform combines ...
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Based on the model of Ablow and Schechter, the equation of stable direct route motion of the streamer system of underwater vehicle is established. The simulation calculation program of stable direct route motion of th...
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