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Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001最新文献

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Infinite horizon stochastic differential games with uncertain future payoff structures 具有不确定未来收益结构的无限视界随机微分对策
D. Yeung
The author considers infinite horizon stochastic differential games with an autonomous structure and steady branching payoffs. While the introduction of additional stochastic elements via branching payoffs offers a fruitful alternative to modeling game situations under uncertainty, the solution to such a problem is not known. A theorem on the characterization of a Nash equilibrium solution for this kind of game is presented. An application in renewable resource extraction is provided to illustrate the solution mechanism.
研究具有自治结构和稳定分支收益的无限视界随机微分对策。虽然通过分支收益引入额外的随机元素为不确定性下的游戏情境建模提供了一个富有成效的选择,但这一问题的解决方案尚不清楚。给出了该类对策纳什均衡解的一个表征定理。最后以再生资源开采中的应用为例说明了其解决机理。
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引用次数: 0
Interactive visualization of agent societies 代理社会的交互式可视化
C. Delrieux, F. Tohmé
Visualization of the dynamic behavior in complex systems is an efficient way to facilitate analysis and decision making. Complexity itself entails several difficulties to find an adequate visual representation of the relevant features of the system's dynamics. For this reason, in this work we explore the elaboration of interactive interfaces for the visualization of the behavior of complex systems. In particular, we pursue the representation of the dynamics of a society of intensional agents. These agents exhibit an individually simple behavior, but together experiment a collective complex behavior. We established an experimentation protocol aimed to verify an hypothesis about the long term evolution of the system. We show how our visualization tool is helpful in understanding and interpreting these results.
复杂系统动态行为的可视化是便于分析和决策的有效途径。复杂性本身带来了一些困难,难以找到系统动态相关特征的适当视觉表示。出于这个原因,在这项工作中,我们探讨了复杂系统行为可视化的交互界面的阐述。特别地,我们追求的是一个由内涵主体组成的社会的动态表征。这些个体表现出单独的简单行为,但一起实验一个集体的复杂行为。我们建立了一个实验方案,旨在验证一个关于系统长期演化的假设。我们将展示可视化工具如何有助于理解和解释这些结果。
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引用次数: 0
An intelligent tutoring system for teaching and learning Hoare logic 一种用于霍尔逻辑教学的智能辅导系统
K. Goshi, Paul Wray, Yong-bo Sun
Significant areas of the computer science curriculum are constantly and rapidly changing as new technologies (e.g., multimedia, WWW, Java) are adopted. This presents a challenge to our current education system: Intelligent Tutoring Systems (ITSs) for teaching and learning in Computer Science must be able to assist not only their student users but also the teachers in developing and managing courses to the best advantage of the students. We developed an ITS for teaching and learning Hoare logic. In this paper, we describe the practical use of the system in a computation theory course.
随着新技术(如多媒体、WWW、Java)的采用,计算机科学课程的重要领域也在不断快速变化。这对我们现有的教育系统提出了挑战:用于计算机科学教与学的智能辅导系统(ITSs)不仅要能够帮助学生用户,而且要能够帮助教师开发和管理课程,以使学生获得最大的利益。我们开发了一个用于教学和学习霍尔逻辑的ITS。在本文中,我们描述了该系统在计算理论课程中的实际应用。
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引用次数: 7
LOGO and Java-one happy marriage LOGO和java——一个幸福的婚姻
Z. Putnik, M. Grabovac
Computer graphics has entered all aspects of programming especially after introduction of World Wide Web into everyday life and increase of the number of people who are using it. This emphasized the need and the quantity of graphics that we are all faced with. Here Java is the language of our choice since it is already enriched with built-in classes for platform independent graphical user interface, and that it supports picture, animation, sound and network capabilities. Turtle graphics has been implemented in a Java programming language as a Java applet. The implementation of turtle graphics in Java is important because it brings the expressiveness of LOGO to Java language.
计算机图形学已经进入了编程的各个方面,特别是在万维网进入日常生活和使用它的人数增加之后。这强调了我们所面临的图形的需求和数量。在这里,Java是我们的首选语言,因为它已经丰富了用于独立于平台的图形用户界面的内置类,并且它支持图片、动画、声音和网络功能。Turtle图形已经在Java编程语言中作为Java applet实现。在Java中实现海龟图形是很重要的,因为它给Java语言带来了LOGO的表现力。
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引用次数: 0
Index fund portfolio selection by using GA 基于遗传算法的指数基金投资组合选择
Y. Orito, G. Yamazaki
It is well known that an index fund portfolio is useful for the risk hedge of investment. The portfolio consists of M-company (called brand) stocks and its price as a function of time traces the stock price index in the market. From a practical viewpoint, it is desired that M-company is smaller and the correlation between the portfolio price and stock price index, included in the portfolio is higher. The correlation is called the contribution rate. Suppose that there are some portfolios where the contribution rate is greater than a fixed level. We then select the portfolio that minimizes its own risk in the portfolio. The main purpose of the paper is to find such a portfolio by using a genetic algorithm (GA). We present some numerical examples that demonstrate the usefulness of GA. We show that GA works well for finding such portfolios.
众所周知,指数基金投资组合对对冲投资风险很有用。该投资组合由m公司(称为品牌)股票组成,其价格作为时间的函数跟踪市场股票价格指数。从实际的角度来看,我们希望m公司越小,投资组合价格与纳入投资组合的股票价格指数的相关性越高。这种相关性被称为贡献率。假设存在一些投资组合,其中贡献率大于固定水平。然后我们选择在投资组合中使其自身风险最小化的投资组合。本文的主要目的是利用遗传算法(GA)找到这样的投资组合。我们给出了一些数值例子来证明遗传算法的有效性。我们证明了遗传算法可以很好地找到这样的投资组合。
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引用次数: 7
A k-nearest neighbour method for managing the evolution of a learning base 一种管理学习库演化的k近邻方法
Jean-Luc Henry
A character recognition system with continuous learning seeks to constantly enhance its base representation models in order to provide the best recognition rate. The method we are presenting enables the system to enhance its base with models, which are performant in recognition. This method also enables to get rid of models regularly doubtable in efficiency when it comes to interpretation of the characters studied. This rule is similar to the one used in the "Death by suffocation" game of life of Conway. We based ourselves on the theory of k-nearest neighbours to develop a new approach we named /spl epsiv/-adaptive neighbourhood. It makes an adjustment of classes possible, according to confidence rate in each model of the learning base. These rates which are practically represented as weights are taken into account by the stage of the recognition system during the character recognition phase. The use of weight as a model selection factor, useful for recognition, enables the system to manage the evolution of the learning base.
持续学习的字符识别系统寻求不断增强其基础表示模型,以提供最佳识别率。我们提出的方法使系统能够使用模型来增强其基础,从而在识别方面表现良好。这种方法还可以在解释所研究的特征时,摆脱在效率上经常有疑问的模型。这个规则类似于康威的“窒息死亡”游戏中使用的规则。基于k近邻理论,我们开发了一种新的方法,我们将其命名为/spl - epsiv/-adaptive neighborhood。它可以根据学习库中每个模型的置信度对班级进行调整。在字符识别阶段,识别系统的各个阶段都要考虑到这些实际表示为权重的比率。使用权重作为模型选择因子,有助于识别,使系统能够管理学习库的演变。
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引用次数: 3
The power of sequence design in DNA computing 序列设计在DNA计算中的作用
M. Arita, S. Kobayashi
Sequence design is a crucial problem in DNA-based computation. We introduce a simple strategy called Template method, which can systematically generate a set of sequences such that any sequence will have at least 4 mismatches with other sequences and with the concatenated part of other sequences.
序列设计是基于dna计算的关键问题。我们介绍了一种简单的策略,称为模板方法,它可以系统地生成一组序列,使得任何序列与其他序列或与其他序列的连接部分至少有4个不匹配。
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引用次数: 3
Evolutionary model of opinion formation 意见形成的进化模型
T. Kaizoji, T. Suzudo
We discuss the stylized facts which are observed in the log return of almost all financial markets. We especially consider an interacting agent model of collective opinion formation in a stock market. For this purpose. a two-dimensional Ising model has been applied. The evaluation of the model suggested some key points to improve simulation precision.
我们讨论了在几乎所有金融市场的对数回报中观察到的程式化事实。我们特别考虑了股票市场中集体意见形成的交互代理模型。为此目的。采用了二维伊辛模型。通过对模型的评价,提出了提高仿真精度需要注意的问题。
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引用次数: 0
Acquisition of stair like structure by gift 通过赠予获得阶梯状结构
M. Kubo
In this paper, grant system as the second evaluation function is introduced to promote social world. As a result, these system works better than SGA model, but it is not so easy to keep it to be able to generate huge stair like structure.
本文引入赠款制度作为第二种评价功能,以促进社会的发展。因此,这些系统比SGA模型工作得更好,但不太容易保持它能够生成巨大的阶梯状结构。
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引用次数: 0
Unsupervised texture segmentation applied to natural images containing man-made objects 应用于包含人造物体的自然图像的无监督纹理分割
X. Dai, J. Maeda
This paper presents a region-based unsupervised segmentation for natural images containing man-made objects. We propose a texture feature extraction to obtain more discriminating features. Statistical Geometrical Features (SGF) are used as texture features. The SGF of the original image and the smoothed image obtained from an anisotropic edge-preserving diffusion are combined for segmentation use. We also propose a modified segmentation algorithm which performs segmentation in four stages: hierarchical splitting, local agglomerative merging, global agglomerative merging and pixelwise classification. Local agglomerative merging combines segments locally, which will greatly reduce the time cost. We make some experiments to demonstrate the effectiveness of the proposed technique in the segmentation of natural images containing man-made objects. The reduction of computation time is also provided.
提出了一种基于区域的包含人造物体的自然图像的无监督分割方法。我们提出了一种纹理特征提取方法,以获得更多有区别的特征。纹理特征采用统计几何特征(SGF)。将原始图像的SGF和各向异性保边扩散得到的平滑图像相结合进行分割。我们还提出了一种改进的分割算法,该算法分层次分割、局部聚类合并、全局聚类合并和像素分类四个阶段进行分割。局部凝聚合并是将部分进行局部合并,大大降低了时间成本。我们做了一些实验来证明所提出的技术在包含人造物体的自然图像分割中的有效性。还提供了减少计算时间的方法。
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引用次数: 3
期刊
Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001
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