福建信息化局成功举办闽台电子商务合作洽谈会

为抓住福建先行先试的政策优势,推动"海峡两岸服务贸易协议"生效前闽台电子商务进一步对接合作,福建省信息化局主动与台湾网路暨电子商务产业发展协会沟通接洽,于9月16日与省外经贸厅联合举办"闽台电子商务合作洽谈会"。洽谈会介绍了福建省电子商务发展情况、闽台合作情况、福州市国家电子商务示范城市建设情况和福州软件园电子商务招商规划。台湾网路暨电子商务产业发展协会介绍了台湾电子商务产业发展情况和行业内重点企业情况。双方就闽台电子商务的深化合作与交流进行初步探讨,并达成共识,希望合作建立有福建特色的国际电子商务产业基地。     

智能科学与技术专业毕业生情况分析与专业建设

针对南开大学"智能科学与技术"新兴本科专业,对首届学生的来源和去向进行整理和分析,根据毕业生的座谈与反馈情况,提出南开大学"智能科学与技术"专业的调整方向与后续建设目标。     

浅谈“校园一卡通”系统的发展与完善

本文结合高校应用"校园一卡通"系统的实际情况,对"校园一卡通"系统的优势与存在问题进行分析,以推动"校园一卡通"系统不断发展和完善。     

智能科学与技术专业的课程规划与建设

介绍"智能科学与技术"专业的背景,结合重庆邮电大学的学科优势与人才优势,总结一年的教学实践情况,初步探讨"智能科学与技术"课程规划、课程建设、学生对专业认识及就业前景等问题。     

“卓越计划”软件工程本科毕业生的跟踪分析

为应对毕业生就业难与软件企业人才招聘难的两难局面,对我院按照"卓越工程师培养计划"培养的第一批本科应届生展开了基于电子问卷的跟踪调查。通过分析学生就业情况及其所在单位需求情况,以及毕业生的就业反馈,讨论研究了现有培养方案、教学体系和课程改革存在的问题与不足,以期为后续进一步深入实施"卓越工程师培养计划"提供帮助。     

互联网与大数据发展研究

从大数据的基本概念及基本特性、如何化"数"为"据"、大数据在互联网领域的应用与发展等方面,对互联网与大数据之间的关系、大数据技术在互联网领域的应用情况等进行论述。     

高职“计算机信息技术”课程教学改革与实践

根据高职"计算机信息技术"课程培养目标,结合本校实际情况,从教学模式改革、教材编写与选用、考试系统开发三个方面,对高职"计算机信息技术"课程提出一些教学改革方法与措施。     

云存储在高校档案工作中的应用

本文简要介绍"云计算"和"云存储",阐述"云存储"给高校档案工作中带来的影响与机遇。并结合高校实际情况,探究未来高校档案管理的发展趋势。     

“智能游戏开发与设计”课堂教学

针对智能科学与技术专业的特点与"智能游戏开发与设计"课程的教学实际情况,分析课程教学各个环节的重点,从教学内容制定、动手能力培养、智能专业特色体现、课程考核等方面阐述"智能游戏开发与设计"课程的课堂教学设计。     

“计算机设计与实践”实践教学分析

本文首先介绍了国内外大学相关课程的基本情况,然后对比分析了哈工大计算机学院的"计算机设计与实践"课程与国外相关课程的差别与差距。     

厦门大学智能科学与技术专业建设进展

介绍2007年以来厦门大学"智能科学与技术"专业的建设进展情况,包括科研与学科建设及教学与人才培养两个方面。在科研与学科建设方面,介绍本系在凝练研究方向上所做的努力和取得的成效,并介绍在科研平台建设以及学科点建设上所取得的新进展;在教学与人才培养方面,分别介绍系里本科生和研究生培养所采取的各项举措以及所取得的成果。     

实施“12字”培养目标,提升大学生实践创新能力

根据国家实验教学示范中心建设的要求,同济大学计算机与信息技术教学实验示范中心计算机基础学科重点围绕着"夯实基础、面向应用、培养创新"12字培养目标,从课程和实践体系、教学方法和手段、科学考核和创新能力培养等方面进行深化改革与实践,全面提升大学生实践和创新能力,培养高素质的复合型人才,成效显著。本文详细介绍了这一实施过程。     

利用植被覆盖度-地表温度特征空间提取厦门市土壤湿度信息

土壤湿度是水文学、气象学以及农业科学研究领域的一个重要参数。利用1989年和1996年两个时相Landsat TM遥感卫星影像来获取厦门的植被覆盖度和地表温度,并由此构建了植被覆盖度和地表温度组成的特征空间,最后利用该特征空间反演了土壤湿度,并分析湿度在两个时相中的变化情况。结果显示,在所研究的时间段内,厦门西南老城区的湿度得到增加。但是在东北部城市建成区扩展的地区,土壤湿度则明显降低。     

Thinking outside the box at the IHMC

The IHMC's human-centered-computing approach to research embraces a closely interrelated collection of theory-based, yet highly practical applications. Founded by Kenneth M. Ford and Alberto Canas at the University of West Florida in 1990, the Institute for Human and Machine Cognition houses experts in computer science and engineering, medicine and cognitive psychology, statistics and mathematics, and the social sciences and philosophy. The IHMC has drawn scientists and researchers from these diverse backgrounds to study the complex phenomenon of human cognition and, ultimately, to develop cognitive prostheses that will augment our capabilities and overcome our limitations     

The influence of investor's behavioral biases on the usefulness of the Dual Moving Average Crossovers

The so called Dual Moving Average Crossovers are said to be useful signals for forecasting trends of stock prices, as one of the technical analysis methods. First, we examined the usefulness of these crossovers by using historical daily closing price data and tick by tick price data of Japanese stocks. The results revealed that these crossovers were useful as confirmatory signals for forecasting market trends. Second, we tried to identify the underlying reasons for the usefulness of the crossovers. A model, which followed the Efficient Market Hypothesis, was found to fail to generate the price fluctuation where the crossovers were useful. We then developed a model that incorporated investor's suspicion about current price validity and two famous behavioral biases: conservativeness and representativeness. We identified the mechanism that those crossovers were closely related to investor's suspicion and the behavioral biases. Kotaro Miwa: He is a Ph.D. candidate at the University of Tokyo. He is also a quantitative financial analyst and fund manager at Tokio Marine Asset Managements. He received his B.A. degree from the Faculty of Engineering at the University of Tokyo in 2001. He also received M.A. degree from the Department of Systems Science at the University of Tokyo in 2003. His current research interests include behavioral finance and financial engineering. Kazuhiro Ueda, Ph.D.: He is an associate professor at the University of Tokyo. He received his B.A. degree from the Faculty of Liberal Arts and Science at the University of Tokyo in 1988. He also received M.A. and Ph.D. degrees in cognitive science from the Department of Systems Science at the University of Tokyo in 1990 and 1993. His current research interests include cognitive analysis on scientific problem solving, adaptive human-machine interface, artificial market and behavioral finance and cognitive robotics.     

智能科学与技术专业学生实践能力培养若干探索

针对大学生普遍存在实践能力不强、工作经验不足的问题,为了切实提高学生实际动手能力,厦门大学智能科学与技术系在办学过程中结合本系特点充分利用各种可用资源积极探索加强学生实践能力培养的方式,采取了包括强调实践教学环节、增设课外实习实训和组织课外科创活动等举措,取得了较好效果。     

On the Advantage (If Any) and Disadvantage of the Conceptual/Nonconceptual Distinction for Cognitive Science

In this article we question the utility of the distinction between conceptual and nonconceptual content in cognitive science, and in particular, in the empirical study of visual perception. First, we individuate some difficulties in characterizing the notion of “concept” itself both in the philosophy of mind and cognitive science. Then we stress the heterogeneous nature of the notion of nonconceptual content and outline the complex and ambiguous relations that exist between the conceptual/nonconceptual duality and other pairs of notions, such as top–down/bottom-up and modular/nonmodular. Finally we look in greater detail at the proposal developed by Jacob and Jeannerod (Ways of seeing. The scopes and limits of visual cognition. Oxford, UK: Oxford University Press, 2003), who apply the notion of nonconceptual content to empirical research on visual perception. After reconstructing their point of view on concepts, we try to reject their major arguments in support of the conceptual/nonconceptual distinction, i.e. the compositionality of thought and the fineness of grain of percepts.     

Why cognitive science is not formalized folk psychology

It is often assumed that cognitive science is built upon folk psychology, and that challenges to folk psychology are therefore challenges to cognitive science itself. We argue that, in practice, cognitive science and folk psychology treat entirely non-overlapping domains: cognitive science considers aspects of mental life which do not depend on general knowledge, whereas folk psychology considers aspects of mental life which do depend on general knowledge. We back up our argument on theoretical grounds, and also illustrate the separation between cognitive scientific and folk psychological phenomena in a number of cognitive domains. We consider the methodological and theoretical significance of our arguments for cognitive science research.     

认知科学的发展及研究方向

研究认知科学的起源、发展、学科结构及研究方向。提出了基于过程的认知定义,探讨了认知科学的起源;将认知科学的发展划分为计算理论、符号处理理论、多理论三个阶段;论述了认知科学的学科结构及研究方向,指出认知模型、大脑存储模型、认知计算是当前认知科学的主要研究方向。研究发现,基于过程的认知定义能够体现认知的本质。一元事件认知模型能够模拟人类的认知,是一种理想的认知模型。