澜湄环境利益共同体模式的评价与选择研究

推进澜湄合作是构建周边命运共同体的具体实践，以“同饮一江水，命运紧相连”为主题的澜湄合作机制也为构建澜湄国家命运共同体提供了推进方向。环境问题是澜湄流域最为核心的问题之一，面向澜湄合作中的环境利益问题，文章结合共同体的理念，基于霍尔三维结构理论，总结出合作伙伴环境利益共同体模式、合作联盟环境利益共同体模式与一体化环境利益共同体模式的三种环境利益共同体模式，通过建立环境利益共同体模式的评价指标体系，利用网络层次分析法对澜湄环境利益共同体模式进行评价，选择适合澜沧江-湄公河的环境利益共同体模式。结果表明，在当前的澜湄现状下，以“澜湄六国通过开发流域资源发展本国经济而同时受到其他主体监督以保证不破坏澜沧江-湄公河的生态环境”为主要内容的合作联盟环境利益共同体模式更适合澜湄流域各国，这一模式可以有效解决流域各国经济与环境“两难重”的困境。     

A stochastic evolutionary coalition game model of secure and dependable virtual service in Sensor-Cloud

Various intrusion detection systems (IDSs) have been proposed in recent years to provide safe and reliable services in cloud computing. However, few of them have considered the existence of service attackers who can adapt their attacking strategies to the topology-varying environment and service providers’ strategies. In this paper, we investigate the security and dependability mechanism when service providers are facing service attacks of software and hardware, and propose a stochastic evolutionary coalition game (SECG) framework for secure and reliable defenses in virtual sensor services. At each stage of the game, service providers observe the resource availability, the quality of service (QoS), and the attackers’ strategies from cloud monitoring systems (CMSs) and IDSs. According to these observations, they will decide how evolutionary coalitions should be dynamically formed for reliable virtual-sensor-service composites to deliver data and how to adaptively defend in the face of uncertain attack strategies. Using the evolutionary coalition game, virtual-sensor-service nodes can form a reliable service composite by a reliability update function. With the Markov chain constructed, virtual-sensor-service nodes can gradually learn the optimal strategy and evolutionary coalition structure through the minimax-Q learning, which maximizes the expected sum of discounted payoffs defined as QoS for virtual-sensor-service composites. The proposed SECG strategy in the virtual-sensor-service attack-defense game is shown to achieve much better performance than strategies obtained from the evolutionary coalition game or stochastic game, which only maximizes each stage's payoff and optimizes a defense strategy of stochastic evolutionary, since it successfully accommodates the environment dynamics and the strategic behavior of the service attackers.     

城中村改造中的“增长联盟”研究——以珠海市山场村为例

分析了我国城中村改造中参与主体的联盟、组织和作用机制等问题,指出当前我国城中村改造与城市更新的地方政治结构不同,解释城市更新的“增长联盟”框架不能直接套用到城中村改造中去:一方面,城中村改造突破了“增长联盟”的主体关系,投资方与原有村民结成了紧密的联盟关系,打破了原有政府权力和开发资本的联盟;另一方面,增长与反增长的边界变得模糊,在经济利益的影响下,不同参与主体倾向于选择性增长(介于增长与反增长之间)。以珠海市山场村改造为例,实证了上述研究发现,进一步完善和发展了原有的“增长联盟”理论。     

区域配电网内分布式电源和负载联盟交易模式设计和分析

分布式电源和负载可在配电侧形成电能供给和消费的联盟,并参与区域电力市场交易。相比于单独进行交易,这样的联盟通过帮助市场能力较弱的分布式电源和负载参与到配电网市场中,推动配电网中的中小型负载和分布式电源之间的直购电业务的发展,促进配电网侧的电力市场形成;同时利用市场信号引导分布式电源和负载的电能生产和消费过程,使得它们获得更多的经济利益,促进分布式可再生能源的发展。文中给出了区域配电网中联盟交易模式的存在条件,并且基于公用电网的作用和合作博弈理论,建立了相应的交易价格模型。进一步,以集成售电商的收益为优化目标,构建了联盟选择和定价的优化决策模型。仿真算例说明了联盟交易模式的理论可行性,证明了在不同运行场景中所提优化决策模型的有效性。     

The Power of the Inside Activist: Understanding Policy Change by Empowering the Advocacy Coalition Framework (ACF)

This article contributes to an understanding of policy change. Exploring a local land planning case, it investigates how an environmental advocacy coalition effectively challenged road and housing plans, with the result that an area was instead developed into a nature reserve. In the course of the article, the value and practical effectiveness of the Advocacy Coalition Framework (ACF) is examined and developed with the help of two central concepts—the “value network” and “inside activist”. The outcome of the case is explained by the powerful influence of a value network of ornithologists, with particular inside activists of that network playing important roles in presenting a challenge to development of the area. Instead of trying to build an abstract theory of the ACF, the article argues the need to develop the ACF as a framework, opening it up to insights from policy network and social constructionist research as well as from practical processes.     

我国房地产企业实施战略联盟的现状分析

深入分析了我国房地产企业实施战略联盟的现状，指出积极探索房地产企业联盟之路对当前我国房地产业的发展来说有着重大的战略意义。     

PRINCIPLES OF ECONOMIC GROWTH

The economic system is viewed as a complex system of actors that interact by competition and coalition. Its evolution is described by morphodynamics, a general theory based on the thermodynamics of physical systems. The economic system then is represented as exchanging services and monetary signs with its environment, namely people. These exchanges are ruled by principles analogous to the principles of thermodynamics. Thus, reversible exchanges found a theory of money supply, wages and prices, whereas irreversible exchanges account for monetary profits, inflation and the long term growth of the economy.     

基于重叠式联盟博弈的Femtocell干扰管理研究

给出了一种基于重叠式联盟形成博弈论的协作式算法,用于解决正交频分多址宏小区和家庭基站(Femtocell)两层网络中的资源分配和干扰管理问题。给出的算法相比于已有算法显著降低了家庭基站接入点到家庭基站用户的下行同层干扰,提高了以系统码率衡量的系统性能。     

Optimal resource allocation scheme for cognitive radio networks with relay selection based on game theory

In this paper,we present a non-transferable utility coalition graph game(NTU-CGG) based resource allocation scheme with relay selection for a downlink orthogonal frequency division multiplexing(OFDMA) based cognitive radio networks to maximize both system throughput and system fairness.In this algorithm,with the assistance of others SUs,SUs with less available channels to improve their throughput and fairness by forming a directed tree graph according to spectrum availability and traffic demands of SUs.So this scheme can effectively exploit both space and frequency diversity of the system.Performance results show that,NTU-CGG significantly improves system fairness level while not reducing the throughput comparing with other existing algorithms.     

基于云模型和灰关联度法的巨项目组织联盟合作伙伴评价研究

巨项目组织联盟建立的关键环节在于科学合理地选择战略合作伙伴,潜在合作伙伴快速准确的评价是选择合作伙伴及构建组织联盟的重要依据。基于巨项目组织联盟合作伙伴评价的模糊性和随机性特征,在构建评价指标体系的基础上,运用云模型及云的不确定性推理,将潜在合作伙伴指标因子的定性评价量化为分值,以实现定性概念与其定量表示之间的有效转换;进而运用灰色关联度理论,提出基于云模型和灰色关联度法的巨项目组织联盟合作伙伴评价方法。通过实例分析,表明该方法具有较强的可行性和有效性。