制造商信息私有条件下的双渠道供应链定价决策

针对由风险规避型制造商拥有的直销渠道和风险规避型零售商拥有的传统零售渠道组成的双渠道供应链模型,首先研究制造商和零售商的风险规避信息为共同知识条件下,直销渠道和传统零售渠道的定价决策。进一步分析制造商风险规避度为私有信息条件下,制造商和零售商的最优定价策略,探讨精炼贝叶斯均衡定价的存在条件。研究表明,信息非对称条件下,零售商即使存在信念的修正,其零售渠道的定价与制造商的定价决策类型始终保持一致,而制造商的最终定价策略选择有多种。在不同参数条件下,该非对称信息动态博弈模型可能存在分离均衡、混同均衡和准分离均衡。     

随机需求下竞争零售商的定价策略研究

本文研究了随机需求下两竞争零售商的定价策略选择(响应性定价或清仓定价)、产品订货量及响应性价格的联合决策问题。通过将问题转化为一个三阶段的博弈模型,基于Kuhn-Tucker条件求解了两零售商不同定价策略子博弈下的均衡产品订货量及响应性定价决策,分析了不同定价策略子博弈下产品订货量及价格决策的差别以及潜在市场需求不确定(期望和方差变动)对订货量和定价策略的影响。数值分析结果表明,当潜在市场需求服从均匀分布时,响应性定价子博弈是帕累托最优策略,清仓定价子博弈是零售商的均衡策略,混合定价子博弈下两零售商的收益差距较大。     

基于再保险人分担理赔费用的保险欺诈博弈模型分析

本文首先建立了基于再保险人分担理赔费用的夸大风险损失的索赔欺诈博弈模型，然后分析了保险双方的博弈策略选择及其可能达到的均衡。研究表明，博弈模型存在某种形式的精炼贝叶斯纳什均衡，但如实告知一般不是保单持有人的精炼贝叶斯纳什均衡策略。而且，博弈模型不存在分离均衡，当费用自负率在一定范围内变化时，局中人将交替选用分离策略与合并策略。     

产品多方面差异下双寡头定位定价模型

建立在同类产品存在多方面差异条件下双寡头企业两阶段动态定位定价博弈模型,在市场中存在不同类型消费者时,求出了使企业利润最大化的子博弈精炼纳什均衡,并深入分析了消费者对两家企业平均偏好效用差(ΔU)和企业的运输成本率(t)对企业定位定价策略的影响.     

一种新的基于博弈论的“拍照赚钱”定价模型

针对现有"拍照赚钱"APP任务定价不合理导致拍照任务完成率不高的问题,基于博弈论知识,采用博弈定价模型,从尽可能满足商家和会员的最大效用出发,得到商家比预期所省成本最大和会员比预期所得效益最大的均衡策略,结果显示任务完成率为84.38%,比原有定价方案提高了26.11%.之后对定价模型进一步拓展,建立任务打包定价模型,即贝叶斯-纳什博弈模型和会员转移模型,进而得到较为合理的打包定价,进一步优化"拍照赚钱"的定价模式.     

生态工业链定价策略的博弈分析

生态工业链与传统供应链不同，传统供应链中的定价策略在生态工业链中不再适用。为了解决该问题，基于单一上游企业和单一下游企业构成的生态供应链系统，应用博弈理论对上游企业生产产品时产生的副产品或者废物定价策略进行研究。分别得出了一个非合作博弈的均衡解（斯坦克尔伯格均衡）和一个合作博弈的均衡解（联合定价），并进一步对各种定价策略的效率进行了分析。最后对原料短缺时的定价情况进行了讨论。     

基于Stackelberg博弈论的边缘计算卸载决策方法

为了解决移动边缘计算中移动用户的计算卸载决策问题,设计了一种基于Stackelberg博弈的卸载决策方法.方法将边缘云和移动用户分别视为博弈主导者和跟随者,边缘云通过对自身计算能力的定价实现有限计算能力下的效用最大化,而移动用户针对边缘云的定价策略,作出数据卸载的相应决策,实现效用最大化,通过单主多从Stackelberg博弈过程中策略的相互影响与进化,实现了双方效用的最优.证明了该Stackelberg博弈存在使得效用最优的纳什均衡解,并提出了一种分布式迭代算法求解博弈双方的纳什均衡解.通过数值分析,证明算法具有很好的收敛性,且分布式博弈算法可以得到比集中式算法更高的效用均值.     

免赔额保险公平定价的期权博弈分析

传统保险定价实质上是供给方定价,忽视了保险契约是保险人和投保人双方互动决策的结果.另一方面,保单具有或有权益的性质,这使得近年来金融定价方法得以引入到保险定价中,以反映风险和回报之间的长期均衡关系.借助期权博弈框架引入博弈论和期权定价理论,分析了免赔额保险的公平定价问题,给出了基本模型和扩展模型两种情形下博弈均衡结果,即保单的无套利价值,并发现在扩展模型情形下,投保人的最优投保策略和均衡保险合同均发生变化.     

在消费者偏好不确定下双寡头定位定价博弈

本文通过建立在企业对消费者偏好信息不确定情形下,双寡头企业动态定位、定价博弈模型,研究企业的定位策略、定价策略以及产品差异化问题。证明了该动态博弈存在唯一的子博弈精炼均衡。均衡结果表明,偏好不确定性是一种差异化力量,与消费者偏好信息确定情形相比,企业的不确定性能够提高均衡价格、增加均衡利润。最后,分析了偏好不确定性对社会最优定位和社会最优差异化的影响。     

消费者偏好驱动的制销供应链利润分配策略

从企业社会责任对消费者偏好的影响入手,运用博弈论的基本思想,对制销供应链中,制造商与分销商一次性博弈的定价和利润分配策略进行了研究,并在此基础上对不同情况下制销双方重复性博弈的均衡结果进行了讨论.结果表明:在两类制销供应链中,联盟定价都是制销双方一次性博弈的唯一纳什均衡结果,且在制销双方商定的利润分配因子的取值范围内双方联盟后所得的利润高于联盟之前;在两类制销供应链中,制造商与分销商坚持联盟定价对双方的长期利润都是最优的.     

Equilibrium selection in multi-leader-follower games with vertical information

We consider two-stage multi-leader-follower games, called multi-leader-follower games with vertical information, where leaders in the first stage and followers in the second stage choose simultaneously an action, but those chosen by any leader are observed by only one “exclusive” follower. This partial unobservability leads to extensive form games that have no proper subgames but may have an infinity of Nash equilibria. So it is not possible to refine using the concept of subgame perfect Nash equilibrium and, moreover, the concept of weak perfect Bayesian equilibrium could be not useful since it does not prescribe limitations on the beliefs out of the equilibrium path. This has motivated the introduction of a selection concept for Nash equilibria based on a specific class of beliefs, called passive beliefs, that each follower has about the actions chosen by the leaders rivals of his own leader. In this paper, we illustrate the effectiveness of this concept and we investigate the existence of such a selection for significant classes of problems satisfying generalized concavity properties and conditions of minimal character on possibly discontinuous data.     

Optimal allocation of MRI scan capacity among competing hospital departments

We consider an MRI scanning facility run by a Radiology department. Several hospital departments compete for capacity and have private information regarding their demand for scans. The fairness of the capacity allocation by the Radiology department depends on the quality of the information provided by the hospital departments. We employ a generic Bayesian game approach that stimulates the disclosure of true demand (truth-telling), so that capacity can be allocated fairly. We derive conditions under which truth-telling is a Bayesian Nash equilibrium. The usefulness of the approach is illustrated with a numerical example.     

一种n人静态博弈纯策略纳什均衡存在性判别法

本首先给出了n人静态博弈纯策略纳什均衡存在的充要条件。然后给出n人静态博弈纯策略纳什均衡存在性的一种判别方法。最后在判别纯策略纳什均衡存在的条件下，给出判定该静态博弈存在多少纯策略纳什均衡以及哪些纯策略组合是纯策略纳什均衡(解)的方法。     

Equilibrium in a war of attrition with an option to fight decisively

We develop a symmetric incomplete-information continuous-time two-player war-of-attrition game with an option to fight decisively. We show that there exists an essentially unique symmetric Bayesian Nash equilibrium. Under equilibrium, the game does not end immediately, and a costly delay persists even with the availability of the fighting option that ends the game if chosen. In addition, there exists a critical time in which a fight occurs unless a player resigns before that time.     

Dynamic consistency in incomplete information games under ambiguity

We develop a general framework of incomplete information games under ambiguity which extends the traditional framework of Bayesian games to the context of Ellsberg-type ambiguity. We then propose new solution concepts called ex ante and interim Γ-maximin equilibrium for solving such games. We show that, unlike the standard notion of Bayesian Nash equilibrium, these concepts may lead to rather different recommendations for the same game under ambiguity. This phenomenon is often referred to as dynamic inconsistency. Moreover, we characterize the sufficient condition under which dynamic consistency is assured in this generalized framework.     

Nonzero-sum non-stationary discounted Markov game model

The goal of this paper is provide a theory of K-person non-stationary Markov games with unbounded rewards, for a countable state space and action spaces. We investigate both the finite and infinite horizon problems. We define the concept of strong Nash equilibrium and present conditions for both problems for which strong Nash or Nash equilibrium strategies exist for all players within the Markov strategies, and show that the rewards in equilibrium satisfy the optimality equations.     

Program Absorption Operators in the Theory of Nonzero-Sum Differential Games

This paper is devoted the Nash equilibrium payoffs for differential games. The Nash equilibrium is one of the key concepts in the theory of noncooperative nonzero–sum two-person games. The Nash equilibrium is broadly applicable in economics as well as in biology and in, particularly, in ecology.     

集值映射的Nash平衡点的存在定理

本文引入了集值映射的Nash平衡点的概念，它以通常的Nash平衡点及Loose Nash平衡点为特例，并在紧和非紧的假设下，得到集值映射的Nash平衡点的存在定理，其中在非紧的情况下使用escaping序列的定义．