Cooperative game theory-based steering law design of a CMG system

Spacecraft require a large-angle manoeuvre when performing agile manoeuvring tasks, therefore a control moment gyroscope(CMG) is employed to provide a strong moment.However, the control of the CMG system easily falls into singularity, which renders the actuator unable to output the required moment. To solve the singularity problem of CMGs, the control law design of a CMG system based on a cooperative game is proposed. First, the cooperative game model is constructed according to the quadratic programming problem, and the cooperative strategy is constructed. When the strategy falls into singularity, the weighting coefficient is introduced to carry out the strategy game to achieve the optimal strategy. In theory, it is proven that the cooperative game manipulation law of the CMG system converges, the sum of the CMG frame angular velocities is minimized, the energy consumption is small, and there is no output torque error. Then, the CMG group system is simulated.When the CMG system is near the singular point, it can quickly escape the singularity. When the CMG system falls into the singularity, it can also escape the singularity. Considering the optimization of angular momentum and energy consumption, the feasibility of the CMG system steering law based on a cooperative game is proven.

Extracting Decision Rules for Cooperative Team Air Combat Based on Rough Set Theory

In order to reduce redundant features in air combat information and to meet the requirements of real-time decision in combat, rough set theory is introduced to the tactical decision analysis in cooperative team air combat. An algorithm of attribute reduction for extracting key combat information and generating tactical rules from given air combat databases is presented. Then, considering the practical requirements of team combat, a method for reduction of attribute-values under single decision attribute is extended to the reduction under multi-decision attributes. Finally, the algorithm is verified with an example for tactical choices in team air combat. The results show that, the redundant attributes in air combat information can be reduced, and that the main combat attributes, i.e., the information about radar command and medium-range guided missile, can be obtained with the algorithm mentioned above, moreover, the minimal reduced strategy for tactical decision can be generated without losing the result of key information classification. The decision rules extracted agree with the real situation of team air combat.

Modelling of a Human Driver’s Interaction with Vehicle Automated Steering Using Cooperative Game Theory

The introduction of automated driving systems raised questions about how the human driver interacts with the automated system. Non-cooperative game theory is increasingly used for modelling and understanding such interaction, while its counterpart, cooperative game theory is rarely discussed for similar applications despite it may be potentially more suitable. This paper describes the modelling of a human driver’s steering interaction with an automated steering system using cooperative game theory. The distributed Model Predictive Control approach is adopted to derive the driver’s and the automated steering system’s strategies in a Pareto equilibrium sense, namely their cooperative Pareto steering strategies. Two separate numerical studies are carried out to study the influence of strategy parameters, and the influence of strategy types on the driver’s and the automated system’s steering performance. It is found that when a driver interacts with an automated steering system using a cooperative Pareto steering strategy, the driver can improve his/her performance in following a target path through increasing his/her effort in pursuing his/her own interest under the driver-automation cooperative control goal. It is also found that a driver’s adoption of cooperative Pareto steering strategy leads to a reinforcement in the driver’s steering angle control, compared to the driver’s adoption of non-cooperative Nash strategy. This in turn enables the vehicle to return from a lane-change maneuver to straight-line driving swifter.

Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Aiming at the problem on cooperative air-defense of surface warship formation, this paper maps the cooperative airdefense system of systems （SoS） for surface warship formation （CASoSSWF） to the biological immune system （BIS） according to the similarity of the defense mechanism and characteristics between the CASoSSWF and the BIS, and then designs the models of components and the architecture for a monitoring agent, a regulating agent, a killer agent, a pre-warning agent and a communicating agent by making use of the theories and methods of the artificial immune system, the multi-agent system （MAS）, the vaccine and the danger theory （DT）. Moreover a new immune multi-agent model using vaccine based on DT （IMMUVBDT） for the cooperative air-defense SoS is advanced. The immune response and immune mechanism of the CASoSSWF are analyzed. The model has a capability of memory, evolution, commendable dynamic environment adaptability and self-learning, and embodies adequately the cooperative air-defense mechanism for the CASoSSWF. Therefore it shows a novel idea for the CASoSSWF which can provide conception models for a surface warship formation operation simulation system.

Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization,user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

A NOVEL COOPERATIVE SPECTRUM SENSING METHOD BASED ON COOPERATIVE GAME THEORY

A novel cooperative sensing method is proposed in this paper. The proposed scheme adopts sensing creditability degree to characterize the impact of the distance and the channel parameters on the sensing result,and considers that each user has different average SNR and different decision threshold,by using General Nash Bargaining Solution (GNBS) strategy in Cooperative Game Theory (CGT),the detection performance for two-user case are derived. For multi-user case,the sensing performance is obtained with Hungarian method. Compared with the traditional schemes such as Nash Bargaining Solution (NBS) and AND,the proposed scheme covers all the factors mentioned above,and enhances the sensing rationality and reliability. Simulation results show that the proposed scheme can further improve the sensing performance and creditability.

The evolution of cooperation in public good game with deposit

The emergence of cooperation still remains a fundamental conundrum in the social and behavior sciences.We introduce a new mechanism,deposit mechanism,into theoretical model to explore how this mechanism promotes cooperation in a well-mixed population.Firstly,we extend the common binary-strategy combination of cooperation and defection in public good game by adding a third strategy,namely,deposit cooperation.The players with deposit cooperation strategy pay a deposit in advance to obtain the benefits of public good at a lower contributions compared with the players with cooperation strategy,when the provision of public good is successful.Then,we explore the evolution of cooperation in the public good game with deposit by means of the replicator dynamics.Theoretical computations and stimulations show that the deposit mechanism can promote cooperation in a well-mixed population,and the numbers of equilibrium point are determined by variables of public good game.On the one hand,when the coexistence of cooperators and defectors is the stable equilibrium point in the evolutionary system,increasing the threshold of public good and adopting the weak altruism way for share benefits can enhance the level of cooperation in the population.On the other hand,if the coexistence of deposit cooperators and defectors is the stable equilibrium point,it is effective to promote the deposit cooperation by lowering the values of discount and deposit,and raising the threshold of public good.

Supply Chain Cooperation between Coal Enterprise and Electric Power Enterprise in China

Based on the two-stage Stackelberg game method, value creation of supply chain cooperation between coal enterprise and power utilities is studied by formulating profit functions of coal and power enterprises and calculating the maximum profit. According to the analysis, it is found that the profit from supply chain cooperation between coal and power enterprises is more than that of non- cooperation. The cooperation is validated to be beneficial for both units; however, the profit is mainly taken by the power enterprise. Thus, it is necessary to set up the incentive mechanism to distribute cooperation value between coal and power enterprises to promote their continual cooperation.

A 2-stage strategy updating rule promotes cooperation in the prisoner's dilemma game

In this study,we propose a spatial prisoner＇s dilemma game model with a 2-stage strategy updating rule,and focus on the cooperation behavior of the system.In the first stage,i.e.,the pre-learning stage,a focal player decides whether to update his strategy according to the pre-learning factor β and the payoff difference between himself and the average of his neighbors.If the player makes up his mind to update,he enters into the second stage,i.e.,the learning stage,and adopts a strategy of a randomly selected neighbor according to the standard Fermi updating rule.The simulation results show that the cooperation level has a non-trivial dependence on the pre-learning factor.Generally,the cooperation frequency decreases as the pre-learning factor increases;but a high cooperation level can be obtained in the intermediate region of- 3〈 β 〈-1.We then give some explanations via studying the co-action of pre-learning and learning.Our results may sharpen the understanding of the influence of the strategy updating rule on evolutionary games.

A game-theory approach against Byzantine attack in cooperative spectrum sensing

In order to solve the Byzantine attack problem in cooperative spectrum sensing,a non-cooperative game-theory approach is proposed to realize an effective Byzantine defense.First,under the framework of the proposed non-cooperative game theory,the pure Byzantine attack strategy and defense strategy in cooperative spectrum sensing are analyzed from the perspective of the Byzantine attacker and network administrator.The cost and benefit of the pure strategy on both sides are defined. Secondly,the mixed attack and defense strategy are also derived. The closed form Nash equilibrium is obtained by the Lemke-Howson algorithm. Furthermore,the impact of the benefit ratio and penalty rate on the dynamic process of the noncooperative game is analyzed. Numerical simulation results show that the proposed game-theory approach can effectively defend against the Byzantine attack and save the defensive cost.

Triggered Asynchronous Cooperative Spectrum Sensing Scheme Based on Dempster-Shafer Theory

Aiming at solving the problems such as time consuming and application limiting presented in the existing synchronous cooperative spectrum sensing schemes,a triggered asynchronous scheme based on Dempster-Shafer(D-S) theory was proposed.Sensing asynchronously,each cognitive user calculated the confidence measure functions with double threshold spectrum sensing method.When the useful report was received by the fusion center,a fusion process would be triggered.Then the sensing results were fused together based on D-S theory.The analysis and simulation results show that the proposed scheme can improve the spectrum sensing efficiency and reduce the calculation amount of the fusion center compared with the existing schemes.

A Study of Verbal Humor in Public Speech from the Perspective of Relevance Theory and Cooperative Principle--Taking TED Talks as An Example

Verbal humor carries rich cultural connotation and reflects the wisdom,communicative skills of the humor maker.There are many researches on verbal humor both at home and abroad,especially in the fields of sitcoms and literature from the perspective of pragmatics and cognitive linguistics.However,the researches on the humorous corpus of public speech are limited.This paper intendsto use qualitative research methods to explore the mechanism of verbal humor generation under the theoretical framework of cooperative principle and relevance theory.Through the analysis in the paper,it points out that verbal humor can be produced by violating the cooperative principle,the gap between maximum relevance and optimal relevance,and the speaker’s expanding contextual reasoning.The cooperation principle and relevance theory have a good elaboration on humor in public speeches,but both have their own deficiencies in explanatory power.Only the combination of those two theories can better explain the generation mechanism of verbal humor.

Game Analysis of Interfirm Cooperation with Three Modes of Supply Chains

In this paper we propose three modes of alliance structures of supply chains and discuss the cooperation mechanisms among enterprises firstly, and by analyzing the dyadic supply chains we apply the game theory to the research on cooperative relation among enterprises respectively for the three modes of alliance structures of supply chains, point out the conditions on which the supply chains can be set up and steadily keep up for a long time, and scientifically interpret the cooperative relation among enterprises.

Character Analysis for Love Is a Fallacy from the Perspectives of Speech Act Theory and Cooperative Principle

Love Is a Fallacy is a great work of Max Shulman, one of the America's most famous humorists. Literary pragmatics,an interdiscipline between literature and pragmatics, is concerned with the examples in which pragmatics is combined with linguistic and literary methods. Speech Act Theory, initiated by John Austin and developed by Paul Grice, has been employed in literary pragmatics. This paper aims to explore the characterization of the three roles in Love Is a Fallacy in the light of literary pragmatics. By delving into the realization of speech act and the flouting of the maxims of Cooperative Principle, the establishment process of characters can be better demonstrated.

The Enlightenment of Cooper’s Learning Circle Theory to the Construction of College Student Team

At the present stage of development,colleges and universities in the training of students and management of student team construction there are some problems,although many colleges and universities to take the corresponding management plan,effectively improve the quality of students,but educators still need to face how to cultivate a mature student team in a short time.In this regard,combining Dewey’s“experiential learning”and Cooper’s experiential learning theory,the paper applies experiential learning theory and practice to the training of college student team construction,aiming at improving the overall quality of the student team effectively,so as to promote the comprehensive development of students.

“产教融合、校企合作、多位一体”的应用化学专业实践教学体系构建

“产教融合,校企合作”是高校培养新时代所需人才的重要途径之一,牵引着人才培养的发展方向。为顺应时代对人才的需求,并结合我院应用化学专业人才培养目标,本文针对我院应用化学专业提出构建“产教融合、校企合作、多位一体、虚实结合”的创新人才培养实践教学体系。以培养学生的实践创新能力为核心,通过搭建校企合作实践教学平台,设置“基础实验-综合训练-创新设计”三个层次的实验,推进多位一体、虚实结合的实践教学模式,对学生实行个性化培养,使培养的人才与社会需求相适应,并服务于经济社会的发展。

煤与煤系战略性金属矿产协同勘查理论与技术体系框架探讨

煤与煤系战略性金属矿产协同勘查模型的建立,是实现煤系战略性金属元素向金属矿产转变的前提条件,煤与煤系战略性金属矿产协同勘查基础理论与关键技术研究,则是建立协同勘查模型的核心任务。从煤系战略性金属元素的基本特点分析入手,论证了实施煤与煤系战略性金属矿产协同勘查的必要性;通过对协同勘查概念演变历史的梳理,阐明了煤炭综合勘查与协同勘查的关系,认为协同勘查是综合勘查的继承和发展,强调2种或多种矿产综合勘查过程中的协调有序和科学组织,其核心是协同组织勘查工程、协同实施关键技术。在论述煤与煤系战略性金属矿产协同勘查原则的基础上,初步提出煤与煤系战略性金属矿产协同勘查理论与技术方法体系框架,作为建立煤与煤系战略性金属矿产协同勘查模型的基础。煤与煤系战略性金属矿产协同勘查应以煤系战略性金属元素富集成矿机制、组合类型与赋存规律研究为前提条件,以煤地质学、矿床学、地球化学、地球物理学、勘查工程学等多学科理论为基础,以精准钻探、精细物探和精细化探等关键技术构成的协同勘查技术体系为支撑,以固体矿产勘查规范等标准为工作依据,遵循固体矿产资源勘查和综合勘查及单矿种勘查的一般性原则,以及研究先行、技术有效、精细勘查、动态调整、分区施策、协调同步等原则,协同组织勘查工程、协同实施关键技术,实现煤与煤系战略性金属矿产协同勘查的最佳技术效益和最佳经济效益的平衡,在完成煤炭地质勘查任务的基础上,查明共伴生战略性金属矿产的地质特征和开发地质条件,获得相应的资源量或元素分布特征,为煤系矿产资源综合开发利用提供地质依据。煤与煤系战略性金属矿产协同勘查值得关注并深入研究的核心问题包括:协同勘查对象的确定,勘查技术的选择和协同实施,勘查工程的协同部署,资源量的科学估算。

“一带一路”倡议下中国国际合作话语权的提升

当前世界正处于百年未有之大变局,世界多极化、经济全球化历史潮流势不可当。话语权博弈是大国竞争的重要组成部分,然而,中国等发展中国家在国际合作话语权领域却面临一定的困境。从依附论的角度看,国际合作话语权领域仍呈现鲜明的“中心外围”的依附结构,“外围”的发展中国家在范式、理论、价值、传播等维度均存在对美西方等“中心”国家的“话语依附”。2013年以来,“一带一路”倡议实现了中国国际合作话语权从理念到行动、从愿景到现实的转化,在提供实践场域、供给理论养分、搭建交流桥梁、壮大传播平台等方面为磨砺和增强中国国际合作话语权提供了有利条件,与此同时,变革国际合作话语体系的不平等格局、提升中国话语权的事业仍任重道远。随着共建“一带一路”进入第二个十年,中国应将国际合作话语权建设作为未来工作的着力点,通过完善理论建设、凸显价值追求、开展话语对接、优化话语传播等路径,着力提升中国国际合作话语权的影响力,助力广大发展中国家摆脱对美西方国家的话语依附,共同为实现新型国际合作积极发声、贡献智慧。

“双减”背景下中小学教师的工作“负荷”与“减负”治理的实践路径

中小学教师超负荷工作已是常态,其日常工作的基本样态是工作内容面广、工作分散点多、工作时间线长。这种超负荷的工作样态不仅影响着教师的职业生命力,也影响着我国整个基础教育提质增效和“双减”政策落实的成效。因此,教师“减负”治理迫在眉睫。教师“减负”治理应是政府、学校和家长等多主体联合参与的持续过程,特别是政府应该灵活调配教师编制,补充人力资源供给;明确学校的权责边界,让教学回归主业;为教师提供保障机制,缓解教师工作压力;有效利用信息技术,提高家校沟通效率。

共生理论视角下应用型高校校企合作的现实困境及路径优化

全面深化应用型高校校企合作既是实现应用型高校高质量发展的重要举措,也是服务技能型社会建设的关键路径。应用型高校校企合作是一种以创新要素高效流动为核心,实现资源跨界整合和价值增值的双向投资和合作过程。根据共生理论的分析框架,当前应用型高校在深化校企合作过程中,共生单元价值取向分离,利益本位思想固化;共生模式内生动力不足,主体间合作互动疏离;共生环境支持不力,环境建设支撑度不足;共生界面信息传导受阻,资源要素流动通道不畅。为了进一步促进应用型高校校企深度融合,需完善校企合作共生单元,优化利益主体共生路径;创新校企合作共生模式,优化主体协同合作共生路径;营造校企合作共生环境,大力提升环境支撑力度;打通校企合作共生界面,优化资源要素共生路径。