悖论对策中的计算机仿真研究

社会悖论是在社会生活中大量存在的多人非合作博弈问题，但用经典对策论难以得到有意义的结果。该文应用计算机试验的方法，对一类多人重复悖论对策过程进行仿真研究，以进化对策的观点，研究在不同环境下不同模型的各种策略法则的性能，以及对策的优化解。这个结果为社会悖论的进化对策研究及其在社会经济方面的应用提供一种有效的研究手段。     

Multiobjective problems: Linear and nonlinear control

In this note, we compare the value of nonlinear and linear control for a multiobjective control problem with a linear time-invariant (LTI) plant. We show that if the performance of a nonlinear feedback controller is measured by the maximum incremental gain, the optimal achievable performance with nonlinear, time-varying control is identical to that achievable by LTI control.     

多层理论在圆筒型直线感应电动机计算上的应用

本文从麦克斯韦方程出发，在圆柱坐标系下建立了圆筒型直线电机的多层理论分析模用该模型对一台样机进行实例计算，并与磁阻抗法和实验值进行了比较，计算结果表明该方法的正确性和有效性。     

邵晋涵史学批评述论

清代乾嘉时期著名学者邵晋涵，留给世人的印象仅仅是精通经学和历史考证的汉学家，其实他也是一位史学理论家。邵晋涵对中国古代史学所作的批评，特点鲜明，包含着丰富的史学思想，具有重要理论价值。     

惯性、刚性振动出矿机合理振动形态设计理论探讨

简要地讨论了惯性、刚性振动出矿机在三个自由度下运动的解答;并根据实际使用情况,提出了振动出矿机合理振动形态的概念及条件。从理论上导出了求得合理振动形态的设计方法及计算公式。     

粗糙集理论的分层递阶约简算法及其信息理论基础

本文模拟人类认知的分层递阶原则,提出一种粗糙集理论的分层递阶约简算法.该算法首先将信息系统或决策系统的知识在由部分属性所构成的多种层次和多种粒度上表示出来,然后分别对各个属性层次进行递阶约简.因此,该算法具有较强的实用性和较好的动态特性,并且能并行运算.同时,本文从信息理论的角度证明了分层递阶约简的理论基础.文章的最后将该算法应用于某水泥窑炉控制决策的获取中,证实了其有效性.     

A fuzzy constraint satisfaction approach for electronic shopping assistance

The Internet and World Wide Web offer an additional channel for consumers to find, select, and buy products. However, unlike shopping in the traditional store, consumers have no direct contact with human clerks to get the required information in the electronic store. The objective of this paper is to propose a fuzzy constraint satisfaction approach to help buyers find fully satisfactory or replacement products in electronic shopping. For the buyer who can give precise product requirements, the proposed approach can generate product-ranking lists based on the satisfaction degrees of each product to the given requirements. For the buyer who may not input accurate requirements, a similarity analysis approach is proposed to assess buyer requirements automatically during his browsing process. The proposed approach could help buyers find the preferred products on the top of the ranking list without further searching the remaining pages. The experimental results show the applicability of the proposed approach for electronic shopping assistance.     

Agent-Mediated Electronic Commerce

Electronic commerce has been one of the traditional arenas for agent technology. The complexity of these applications has been a challenge for researchers that have developed methodologies, products, and systems, having in mind the specificities of trade, the interaction particularities of commerce, the strict notion of commitment and contract, and the clearly shaped conventions and norms that structure the field. In this paper I survey some key areas for agent technology which, although general, are of special importance in electronic commerce, namely, solid development methodologies, negotiation technologies and trust-building mechanisms. I give examples of systems in which I have directly participated, although I also try to refer to the work of other AgentLink Special Interest Group members over the last few years.     

Motivation of Engineering Students to Participate in Teaching Evaluations

This study employs expectancy theory to evaluate some key factors that motivate students to participate in the teaching evaluation process. The results show that engineering students generally consider the improvement of teaching to be the most important outcome of teaching evaluations, followed by the improvement of course content and format. Making the results of evaluations available for students' decisions on course and instructor selection ranked third, while the least important use was influencing a professor's tenure, promotion, and salary raise. Students' motivation to participate in teaching evaluations is also impacted significantly by their expectation that they will be able to provide meaningful feedback.     

Application of evidence theory in information fusion of multiple sources in bayesian analysis

How to obtain proper prior distribution is one of the most critical problems in Bayesian analysis. In many practical cases, the prior information often comes from different sources, and the prior distribution form could be easily known in some certain way while the parameters are hard to determine. In this paper, based on the evidence theory, a new, method is presented to fuse the information of multiple sources and determine the parameters of the prior distribution when tile form is known. By taking the prior distributions which result from the infornlation of multiple sources and converting them into corresponding mass functions which can be combined by Dempster-Shafer (D-S) method, we get the combined mass function and the representative points of the prior distribution. These points are used to fit with the given distribution form to determine the parameters of the prior distribution. And then the fused prior distribution is obtained and Bayesian analysis can be performed. How to convert the prior distributions into mass functions properly and get the representative points of the fused prior distribution is the central question we address m this paper. The simulation example shows that the proposed method is effective.