Why does language matter to artificial intelligence?

Artificial intelligence, conceived either as an attempt to provide models of human cognition or as the development of programs able to perform intelligent tasks, is primarily interested in theuses of language. It should be concerned, therefore, withpragmatics. But its concern with pragmatics should not be restricted to the narrow, traditional conception of pragmatics as the theory of communication (or of the social uses of language). In addition to that, AI should take into account also the mental uses of language (in reasoning, for example) and the existential dimensions of language as a determiner of the world we (and our computers) live in. In this paper, the relevance of these three branches of pragmatics-sociopragmatics, psychopragmatics, and ontopragmatics-for AI are explored.     

思维进化算法的转移概率分析及几乎处处收敛性证明

思维进化算法已有的收敛性分析均是在依概率收敛意义下考虑的,而几乎处处收敛强于依概率收敛。在详细分析思维进化算法趋同算子和异化算子转移概率的基础上,利用种群最大适应度值函数描述思维进化算法的演化过程,将最大适应度值函数的进化过程转化为下鞅数列,并根据数学期望的性质和最大适应度值函数的特点,利用下鞅收敛定理严格证明了思维进化算法的几乎处处收敛性。     

思维导图软件在高职教学中的应用-以旅游专业教学为例

思维导图是知识可视化的有力工具,在高职教学中应用思维导图,可进一步提高教学效率,强化教学效果.文章以高职旅游专业教学为例,论述了思维导图在教师备课、课堂授课等教学环节中的具体运用.     

旅游活动中的“三态”和谐分析

我国旅游业在经济发展、社会调适、环境保护、文化延续和人格塑造方面都发挥着重要的作用,然而,在旅游业的高速发展过程中也存在一系列问题。从旅游活动的的微观层面入手,分析了旅游活动中的生态、人态和心态三大和谐,并提出应该如何去构建旅游活动中的＂三态＂和谐。     

基于思维进化算法的工业过程粗糙建模及应用

在工业过程建模中,传统的建模方法依赖数学模型.当实际系统模型难于用解析式精确表达时,智能建模成为研究热点之一.对具有非线性、时变性、不精确性等复杂系统,智能建模弥补了机理建模、辨识建模等方法的不足,能够避开数学表达式模型.模糊建模的隶属函数不容易得到,而粗糙集能直接从数据库中提取规则,不需要任何先验知识.但粗糙集不能处理连续属性,需要将属性离散化.对水泥回转窑控制系统进行建模,首先应用思维进化算法对决策表中的连续属性进行离散化,然后利用粗糙集理论化简决策表,提取最优的决策规则,最后分析决策规则,得出结论,说明该建模方法的可行性,且由此建模方法得到的决策规则覆盖度较高.     

用RPGMaker建立C语言思维模式的方法研究

探讨了在C语言程序设计教学过程中为学生建立相应的思维模式的方法问题。针对非计算机专业学生基础差、专业性不强的特点,结合当前DIY的潮流,分析了C语言的基本结构,分析了RPGMaker中提供的技术可行性,提出通过促进学生使用RPG-Maker软件来制作游戏以建立相应的程序设计思维模式的方法,并提出具体案例供参考。实践表明,学生的程序设计思维能较快速、熟练地建立起来。     

基于思维导图的团队协作系统

思维导图作为一种高效率的可视化工具,在线下团队协作中的运用也越来越多,而于在线协作工具的运用并不多. 该文针对思维导图在团队协作工具的应用来进行阐述,描述了一个采用B/S架构,以思维导图为重要功能模块的团队协作系统的实现. 阐述了其主要功能、系统结构、关键实现技术以及开发过程中相关的工程方法. 基于测试驱动的开发形式和IOC机制的运用,使其具备较好的扩展、维护和二次开发的能力. 而基于思维导图来展现团队协作中各类任务的相互关系,以图像化交互的形式来管理项目,与传统的协作系统的线性任务管理相比,具备更好的交互和较低的使用门槛.     

Computation and the Three Worlds

Discussions about the achievements and limitations of the various approaches to the development of intelligent systems can have an essential impact on empirically based research, and with that also on the future development of computer technologies. However, such discussions are often based on vague concepts and assumptions. In this context, we claim that the proposed `three-world ontology' offers the most appropriate conceptual framework in which the basic problems concerned with cognition and computation can be suitably expressed and discussed, although the solutions of some of these problems seem to lie beyond the horizon of our current understanding. We stress the necessity to differentiate between authentic and functional cognitive abilities; although computation is not a plausible way towards authentic intelligence, we claim that computational systems do offer virtually unlimited possibilities to replicate and surpass human cognitive abilities on the functional level.     

Evolution of fuzzy logic: from intelligent systems and computation to human mind

Inspired by human’s remarkable capability to perform a wide variety of physical and mental tasks without any measurements and computations and dissatisfied with classical logic as a tool for modeling human reasoning in an imprecise environment, Lotfi A. Zadeh developed the theory and foundation of fuzzy logic with his 1965 paper “Fuzzy sets” (Zadeh in Inf Control 8:378–53, 1965) and extended his work with his 2005 paper “Toward a generalized theory of uncertainty (GTU)—an outline” (Zadeh in Inf Control, 2005). Fuzzy logic has at least two main sources over the past century. The first of these sources was initiated by Peirce in the form what he called a logic of vagueness in 1900s, and the second source is Lotfi’s A. Zadeh work, fuzzy sets and fuzzy Logic in the 1960s and 1970s.