Simulation Games As Educational Learning Method in Engineering Careers

The challenges of today＇s world require college students have different skills and know how to apply the knowledge acquired to solve new situations. The traditional mode of teaching with lectures, still present in many subjects of the engineering, seems to favor the development of the necessary skills, as active use of knowledge required [ 1 ]. However, they are using simulation games as an educational method in many universities in the world for the advantages they present for learning and the development of various skills, to simulate specific situations of professional activity [2]. This paper presents some background and requirements that games must meet educational purposes and propose their use in subjects related to economics, management and organization of production engineering programs where you can teach and learn from building products with simple items like cardboard paper on the theory of constructionism to build a product where people are building theories and knowledge in the mind [3]. The use of games is not widespread in universities in Argentina, however you can generate more motivating learning situations as it leaves the board becoming less abstract and more concrete learning. Classroom climate changes as students take a more participatory role and the teacher intervenes as a guide or facilitator of learning. This work could motivate teachers and researchers to promote their use in teaching and in future research to evaluate the potential of its use as a learning tool.

Evaluation of Behavior of Evacuees on a Floor in a Disaster Situation Using Multi-agent Simulation and Mixed Reality Game： Effectiveness of the Field of Vision and Priority of Referred Objects

In this study, we develop a mixed reality game system to investigate characteristics ofjudgrnents of individual players in an evacuation process. The characteristics of judgments of the players that are inferred from the performance of the game are then incorporated into a multi-agent simulation as rules. The behavior of evacuees is evaluated in approximations of real situations, by using the agent simulation including different judgments of evacuees. Using the results of the simulation, effective methods are discussed for achieving the escape of the evacuees within a short time.

Game Analysis of Regulation for Online Prescription Drugs under Customer Feedback Mechanism

Objective To study the way to better regulate the online sales of prescription drugs,and to provide reference for the adjustment of relevant policies since the online sales of prescription drugs has become an inevitable trend.Methods A game model was constructed for the strategy choice of pharmaceutical e-commerce platform,customers and government departments based on differential game theory and Nash equilibrium game model to analyze the pure strategy Nash equilibrium,Nash equilibrium dominant strategy of each subject and the mixed strategy Nash equilibrium under different conditions.Besides,Matlab was used to carry out simulation analysis.Results and Conclusion The study shows that:(1)Improving the credibility of the government and reducing the cost of government regulation can not only make the pharmaceutical e-commerce platform operate with high quality,but also give greater play to government functions;(2)The greater the influence of social evaluation on pharmaceutical e-commerce platforms,the lower the cost of high-quality operation of pharmaceutical e-commerce platform,and the greater the probability of customer choosing real evaluation strategy;(3)The greater the customers’perception of potential risk,the greater the compensation,and the lower the cost of reporting.Then,the greater the probability that government departments will choose strict regulation.Finally,the model solution and simulation analysis are combined to provide countermeasures and suggestions for the safety regulation of online sales of prescription drugs.

Tripartite evolutionary game and simulation study on enterprise green technology innovation

By constructing the evolutionary game model among the government,enterprises and consumers,the paper analyzes the condition that the profit and loss relationship of the game subjects and their behavior strategies reach the stable state in the green technology innovation system,and uses MATLAB to conduct data simulation analysis.The results show that the government,enterprises and consumers have path-dependent behavior choices.The larger the government incentive coefficient and subsidy coefficient is not the better,but the larger the subsidy and subsidy coefficient will hinder the green technology innovation.Government punitive measures will promote green technology innovation,but high innovation subsidies will restrain the government’s environmental regulation.Therefore,the government should further improve environmental regulation policies,increase enterprises’enthusiasm for green technology innovation and consumers’acceptance of green products,and promote the development of green technology innovation.

Analysing the Required Properties of Business Simulation Games to Be Used in E-Learning and Education

Business simulation games are considered as effective tools for the empowerment and mediation of business content learning. They act as serious games which contribute to learning through a simulation of real-life situations and busi-ness environments. They are especially useful in the area of business management processes and business strategies. The blending of designed simulation technology and content curricula offers participants (players, students) a risk-free opportunity to test out a range of relevant strategies to drive business results. By customizing computer-based business simulations, participants can integrate key strategic and financial priorities. This paper provides a brief review of busi-ness simulations that serve learning purposes. The first part presents a short introduction and description of business games and their evaluation properties, and the second part provides a brief evaluation and analysis of selected business simulation games.

Exploration and Practical Teaching Improvement of "Game Simulation & Modeling" Course

Due to long-term lack of comprehensive practice platform in simulation courses,students suffer from the challenges of engineering ability and systemic thinking training restrictions,"teaching"and“learning”separation,etc.To solve those problems,our teaching group created a simulation competition platform independently for theoretical and practical teaching of"Game Simulation&Modelmg" course.The introduction of competition platform has played a good role in stimulating students' learning motivation,training systemic simulation knowledge points and engineering ability,promoting theoretical and practical teaching,and enriching teaching materials through students'feedback and practice accumulation.

WARGAME野战生存运动研究

通过资料检索和实地调查,对WARGAME运动(生存游戏、野战运动、战争游戏)的起源、发展概况、体育价值及其在我国发展的制约因素进行全面分析。WARGAME具有丰富的时代价值,无论是心理还是生理均对于全民健身、学校体育、竞技运动等领域有较大的推动力,一定程度上也能改变现今盛行的"伪娘"等畸形社会风气。但其发展也同时面临诸多困境,应从规范管理、扩大宣传、提高认识、开拓视野等方面入手,促进WARGAME运动在我国依法、规范、有序的开展。

Virtual Reality Driving Simulation for Measuring Driver Behavior and Characteristics

This article provides new insights regarding driver behavior, techniques and adaptability. This study has been done because: 1) driving a vehicle is critical and one of the most common daily tasks;2) simulators are used for the purpose of training and researching driver behavior and characteristics;3) the article addresses driver experience by involving new virtual reality technologies. A simulator has been used to assist novice drivers to learn how to drive in a very safe environment, and researching and collecting data for researchers has become easier due to this secure and user-friendly environment. The theoretical framework of this driving simulation has been designed by using the Unity3D game engine (5.4.f3 version) and was programmed with the C# programming language. To make the driving environment more realistic we, in addition, utilized the HTC Vive Virtual reality headset which is powered by Steamvr. We used Unity Game Engine to design our scenarios and maps because by doing this we are able to be more flexible with designing. In this study, we asked 10 people ranging from ages 19 - 37 to participate in this experiment. Four Japanese divers and six non-Japanese drivers engaged in this study, some of which do not have a driver’s license in Japan. A few Japanese drivers have a license and car, while others have a license but no car. In order to analyze the results of this experiment we are used MatlabR2016b to analyze the gathered data. The result of this research indicates that individual’s behavior and characteristics such as controlling the speed, remaining calm and relaxed when driving, driving at appropriate speeds depending on changes in road structures and etc. can affect their driving performance.

Agent-Based Simulation for Analyzing Network Formation with Learning Dynamics

In game theoretic context, it is assumed that the decision maker has the extraordinary skills of reasoning and calculation. This assumption is called ＂perfect rationality＂. A player with perfect rationality can solve complex problems without making mistakes. However, recently, many studies have restricted this rationality or the structure of game. These restrictions are called ＂bounded rationality.＂ The authors also focus on bounded rationality, but with learning dynamics and complex networks. A complex network covers a wide area. Currently, a wide range of studies have not only investigated network formation and the characteristics of a formed network, but also analyzed situations where a network is already provided. In addition, in an analysis using game theory, a prisoners＇ dilemma type game was used to investigate how a change in the network structure would affect the players＇ relationships Therefore, our model employs decision makers with learning dynamics and describes the interaction of decision makers as a network. The purpose of this study is to examine the behavior of the decision maker with learning dynamics and the formation of networks by the interaction of decision makers through an agent-based simulation.

BigPicture:An Analytical Platform for Business War Gaming

Business war games are strategic management exercises that bring the military scenario simulation to a commercial setting, helping business managers to better understand the environment in which they operate and anticipate scenarios, such as competition movements, new product launching and production capacity planning, among others. These exercises normally take place with players organized in teams, gathered in a room, with a static package of information provided beforehand. In this paper we present an alternative, dynamic way of playing a business war game, with players geographically dispersed, and information dynamically available as it is available from its sources. We introduce BigPicture, an analytical platform with unique features that allow it to be an ideal “playground” for conducting more realistic business war games.

基于演化博弈的我国分级诊疗策略分析

目的在分级诊疗制度中涉及政府、医院和患者之间的利益关系,探讨三方动态博弈策略,有利于完善分级诊疗的理论范式和政策逻辑。方法构建政府、医院和患者三方模型,分析其策略选择及演化路径,求解三方演化博弈的稳定策略,探究如何进行利益平衡和合作以实现三方共赢。另外,利用Matlab R2018b对模型进行仿真,进一步分析三方主体的演化路径以及不同策略选择对分级诊疗制度推广的影响。结果政府、医院和患者3个主体的决策行为之间相互影响,最终将演化至点(1,1,1)的理想稳定状态。增大政府补贴会加速医院和患者的初始参与概率值收敛至1,但过多的补贴会使政府逐渐背离鼓励分级诊疗的策略。结论政府应在成本范围内加大对医院优质医疗资源下沉的专家补贴力度,并加强政府监管。大型医院和基层医疗卫生机构重要的是实现医生资源的自由流动和合理分布。患者还需转变固有的就医观念,才能最终实现有序就医。

无人集群博弈对抗系统仿真验证及决策关键技术综述

无人集群博弈对抗是一种新兴的作战样式,在智能化战争扮演着至关重要的作用,其核心是自主生成博弈对抗决策序列,为集群“赋能”。分析了无人集群博弈对抗系统仿真验证的进展;从基于专家系统和博弈论的技术、基于群体智能和优化理论的技术,以及基于神经网络和强化学习的技术三个方面论述了自主决策关键技术,以及课题组在自主决策上开展的相关工作;提出了无人集群博弈对抗的发展方向。

基于三方演化博弈的突发公共卫生事件应急响应及仿真研究

突发公共卫生事件中地方政府、社会组织与公众的相互配合、协同响应是及时高效进行应急管理的必然选择。本文以新型冠状病毒肺炎为背景,考虑应急响应过程中多主体之间的相互影响与博弈关系,基于有限理性假设,构建地方政府、社会组织与公众三方博弈主体的演化博弈动态模型。然后,运用演化博弈理论和Lyapunov判别法分析三方主体演化模型的均衡点和渐进稳定性,得到在不同条件下三方主体的演化稳定策略。最后,对突发公共卫生事件不同阶段的三方主体应急响应的博弈行为进行仿真分析,探讨地方政府的补贴政策、奖惩措施以及社会组织成本对博弈各方策略选择的影响。研究结果表明:(1)在突发公共卫生事件应急响应的不同阶段,各主体的决策选择是动态演变的;(2)地方政府的补贴政策、奖惩措施以及社会组织成本对于主体的应急响应行为作用明显;(3)各主体的初始参与意愿强弱对突发公共卫生事件应急响应的影响效果显著。

中小企业间竞争情报共享策略演化博弈与仿真研究

随着中小企业间的关系由竞争转向竞合,竞争情报在中小企业之间共享成为可能。本文旨在探讨中小企业间竞争情报共享策略的演化博弈过程与影响因素,有望为中小企业的共享策略选择提供依据,并为后续理论研究与实践探索提供新的思路和参考借鉴。基于演化博弈理论,推演双方中小企业的竞争情报共享演化博弈过程,分析利益得失、博弈系统的演化稳定策略和不同参数的影响程度,并通过数值仿真对结果进行验证。研究结果显示,协同收益和惩罚成本对中小企业间竞争情报共享策略具有正向显著影响,而泄露风险和共享成本对其具有负向显著影响;当其余所有参数均确定时,可共享竞争情报的质量和竞争情报的吸收能力在某个区间内具有负向显著影响,并且两者在中小企业之间的差距越小,越有可能最终稳定于共享策略。最后,提出促进中小企业间竞争情报共享的针对性建议。

智慧应急赋能城市减灾:演化博弈与阶段嬗变

智慧应急为城市减灾治理现代化转型与应急管理系统智能化改造升级提供了新的契机与机遇。该文考虑这一过程中政府、企业与公众三方主体间的合作博弈关系,构建了政府引领、企业研发、公众参与的演化博弈模型。应用数值仿真模拟技术对该模型收敛于理想“合作”的均衡状态进行了实证分析,发现智慧应急赋能城市减灾过程涌现出“信息化”“智能化”“智慧化”三个阶段多层并进的态势;政府作为该过程的关键驱动力量,既需要采用监管、补贴、惩罚等手段对企业研发数智应急技术进行管控,更需要开展科普宣教等活动统筹社会公众积极参与;“搭便车”行为和政企协同的收益分配情况会导致企业参与该过程的意愿出现波动;公众参与对政府引领智慧应急存在双向反馈作用。该文基于智慧应急赋能城市减灾过程中三方主体策略选择的理论阐释,应用实际算例实现了演化过程的模拟仿真,为应急管理新格局中“智慧应急大脑”的构建提供理论依据与有益启示。

基于供应链视角的企业协同生态创新演化博弈

基于演化博弈理论建立政府规制下的供应链核心企业和非核心企业协同生态创新的演化博弈模型,并对策略选择进行稳定性分析,结合数值仿真模拟不同参数变化对系统演化的影响。结果表明:生态创新的收益越高成本越低越有助于企业协同生态创新;搭便车收益会对企业协同生态创新产生负向影响;存在一个最佳的协同收益分配系数使得双方选择协同生态创新的概率最大;政府补贴和惩罚机制对企业协同生态创新有显著推动作用。

建筑企业数字化转型三方演化博弈及仿真分析

对于建筑企业而言,数字化转型是企业实现可持续发展的核心战略。考虑了政府的奖惩机制,将建筑企业、数字化解决方案供应商与政府纳入统一架构中,以此构建了三方演化博弈模型,利用matlab 2016a软件对三者的演化博弈行为进行了仿真分析。研究结果表明:政府参与意愿、协同收益、奖惩力度等参数对博弈主体策略演化的影响显著。其中,提高协同收益和加强政府惩罚力度将加快系统演化趋于稳定;政府增强奖励和补贴力度均有利于促进建筑企业数字化转型和增强数字化解决方案供应商的参与意愿,但加大奖励力度将增大政府财政压力,故适度的政府补贴和奖励有利于博弈系统达到理想状态。

EFIS 数据源防御部署优化的非合作博弈模型

电子飞行仪表系统(Electronic Flight Instrument System,EFIS)具有高安全性要求,其运行环境极端,可供分配的防御策略资源严重受限,缺乏合理性的防御策略部署会影响系统整体安全。文章从攻防决策视角转换和非合作博弈理论出发,在融合安全视角下提出一种伴随EFIS周期性检修的有限防御策略部署优化模型。首先通过建立双属性的攻击防御树(Attack Defense Tree,ADT)构建攻防策略空间;然后运用决策视角转换思想,从攻击者的角度进行非合作博弈分析,揭示攻击者意图降低系统安全性的攻击策略分配;最后基于攻击者博弈结果对防御策略进行博弈分析,并通过验证提高防御者策略安全属性的可行性,为安全资源分配提供可靠的理论基础。该模型基于蒙特卡洛模拟成功求解了非合作博弈下的防御策略部署问题,得到期望效用最大化时的防御策略优化部署方案,避免了防御措施的冗余添加,同时有效提高了系统整体的安全性。

供应链中断风险防范化解行为——三方主体演化博弈分析

基于主体价值最大化原则,构建政府、供应链企业与行业协会三方防范化解供应链中断风险行为的演化博弈模型,并进行均衡分析,运用MATLAB仿真三方防范化解行为的策略选择过程。结果表明:(1)政府“负责任监督预防”策略概率x是关于政府“负责任监督预防”收益R_1、供应链中断风险规模S、社会声誉效应M、政府扶持资金W、政府承担供应链中断风险的份额p、政府获社会声誉效应的分配比例q的增函数,是关于政府“负责任监督预防”成本C_1的减函数;(2)供应链企业“负责任防范化解”策略概率y是关于企业“负责任防范化解”收益R_2、政府扶持资金W、企业获政府扶持资金的分配比例β的增函数,是关于企业“负责任防范化解”成本C_2、供应链中断风险规模S、政府承担供应链中断风险的份额p的减函数;(3)行业协会“负责任引导”策略概率z是关于行业协会“负责任引导”收益R_3、社会声誉效应M、政府扶持资金W、政府获社会声誉效应的分配比例q、企业获政府扶持资金的分配比例β的增函数,是关于行业协会“负责任引导”成本C_3的减函数;(4)政府策略选择对承担供应链中断风险的份额p较敏感,当政府承担供应链中断风险份额p大于80%时,政府倾向选择“不负责任监督预防”策略;(5)行业协会策略选择对企业获政府扶持资金的分配比例β较敏感,当企业获政府扶持资金的分配比例β高于90%时,行业协会出于自身价值最大化的目的,倾向于选择“不负责任引导”策略。