2010年全国人工智能大会

人工智能的诞生与发展是20世纪最伟大的科学成就之一,也是新世纪引领未来发展的主导学科之一．它是一门新思想、新观点、新理论、新技术不断涌现的前沿交叉学科,相关研究成果已经广泛应用到国防建设、工业生产、国民生活中的各个领域．在信息网络和知识经济时代,人工智能科学技术正在引起越来越广泛的重视,必将为推动科学技术的进步和产业的发展发挥更大的作用．     

CAE/CAD/CAM curricula implementation - experience at the National University of Singapore

A step-by-step approach to implement CAE/CAD/CAM curricula for undergraduate engineering courses at the National University of Singapore is presented. As the student workload is already quite heavy, each course is examined in detail and the CAE/CAD/CAM contents are carefully blended with the existing course structure. Some students are also assigned CAE/CAD/CAM specific projects to allow them to develop expertise in developing new software packages and building interfaces to existing packages. Experience indicates that CAE/CAD/CAM programmes at the undergraduate level should be implemented in various phases. It is also necessary to consider the state of the local industries in the adoption of the CAE/CAD/CAM technology so that the effort by the university is well synchronized with industry.     

COM技术在人T智能程序设计中的应用

组件对象模型(COM)技术是微软许多软件的基础和未来发展的方向,它提供了跨开发工具、操作系统和网络的开发方式。Lisp是在人工智能领域中应用最广泛的计算机语言,但是在面向对象的程序设计中存在诸多不足。COM技术在人工智能领域的应用,可以将用Lisp开发的人工智能推理核心与其它的开发工具(VB、VC++或VJ++等)开发的应用集成,发挥各自的优势,从而达到跨开发工具协同工作的目的。本文主要论述了如何利用COM技术将人工智能推理核心与其它前端应用集成,提出了一套完整的解决方案,并成功地将该技术应用在智能教育软件的开发中,取得了较好的效果。     

Artificial Intelligence

Artificial Intelligence (AI) Is currently making the transition from a laboratory curiosity to an increasingly feasible alternative to conventional data processing methods. AI can reduce an organization's dependence on line supervisors and skilled personnel at any level of activity. The organization that Implements AI may soon develop a competitive advantage that will be difficult to overcome.     

师范院校《人工智能》课程教学探讨

师范院校的人工智能课程设置应该顾及高中信息技术教学的雷要,根据师范院校在人工智能课程教学中经常存在的内容与教材选择不合适等问题进行探讨,指出在了解高中信息技术的教学要求基础上,通过制定合理教学目标与授课内容,有效组织课堂教学,可取得良好教学效果.     

人工智能与人工生命

人工生命(ArtificialLife)是一门正在迅速发展的新兴学科。将人工智能(ArtificialIntelligence)方法与人工生命方法相结合,是目前人工智能研究的新方向。该文介绍了人工生命的概念和研究方法,分析了人工智能目前的困难以及人工生命与人工智能的区别与联系,并介绍了几种二者结合的实例。     

人工智能中的不确定性

不确定性是人类思维活动中最基本的东西,同时也是人工智能中的重要内容。在论述了不确定性的发展由来后,着重提出了解决不确定性的4种方法(可信度推理方法、概率方法、模糊数学方法、灰色理论方法),并分别加以论述。最后,又系统地概括了知识表达和知识处理的一些方法。     

Outlook on Artificial Intelligence

Expert systems, a form of artificial intelligence (Al), are emerging as a practical use of computers and data bases in a range of applications. The use of Al potentially can improve the accuracy, timeliness, and quality of decision making in those jobs that are performed by several persons, that involve repetitive tasks requiring human judgment, and that can be done best by an expert. Like any tool, however, expert systems have limitations that must be considered before a project is undertaken.     

Outlook on Artificial Intelligence

Expert systems, a form of artificial intelligence (Al), are emerging as a practical use of computers and data bases in a range of applications. The use of Al potentially can improve the accuracy, timeliness, and quality of decision making in those jobs that are performed by several persons, that involve repetitive tasks requiring human judgment, and that can be done best by an expert. Like any tool, however, expert systems have limitations that must be considered before a project is undertaken.     

游戏中的人工智能技术

本文阐述了游戏中的人工智能技术目前在国内外的应用现状,并分析了可用于游戏中的主要人工智能技术。     

人工智能发展预测

目前,人工智能的推理功能已获突破,学习及联想功能正在研究之中,下一步就是模仿人类右脑的模糊处理功能和整个大脑的并行化处理功能。人工神经网络是未来人工智能应用的新领域,未来智能计算机的构成,可能就是作为主机的冯·诺依曼型机与作为智能外围的人工神经网络的结合。     

人工智能中的案例推理

随着Internet技术的发展给人工智能提出了极富挑战的问题,它的运用领域也在不断的扩展.     

人工智能发展预测

目前,人工智能的推理功能已获突破,学习及联想功能正在研究之中,下一步就是模仿人类右脑的模糊处理功能和整个大脑的并行化处理功能。人工神经网络是未来人工智能应用的新领域,未来智能计算机的构成,可能就是作为主机的冯．诺依曼型机与作为智能外围的人工神经网络的结合。     

人工智能的挑战

人工智能（Artificial Intelligence)作为当前科学技术发展中的一门前沿学科,面临很多争论、困难和挑战,本文从两大方面论述了人工智能面临的机遇和挑战。     

人工智能的应用研究

本文对人工智能的发展过程及现在研究的热点进行了简要的概述,重点对人工智能的应用研究领域做了阐述。