人工鱼的认知建模方法研究

“人工鱼”利用人工生命方法创作计算机动画。为了进一步提高动画角色的智能水平,将人工智能方法学引入到“人工鱼”系统中,建立认知模型,控制人工动物的行为,使人工动物成为更加自主的和智能的角色。该文介绍了认知建模的概念、特点,给出人工鱼的认知建模方法研究的主要内容和模型结构。     

智能游戏开发与设计课程建设探讨

针对智能科学与技术专业智能游戏开发与设计课程建设现状,在分析重庆邮电大学针对该专业提出的几个特色专业方向、以及面临的课程建设等问题的基础上,阐述针对智能科学与技术专业特点而设置的智能游戏开发与设计课程的教学目标、教学要求和教学内容设置;同时,对考核方式和教材建设等问题进行探讨。     

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。     

computation,among other things,is beneath us

What's computation? The received answer is that computation is a computer at work, and a computer at work is that which can be modelled as a Turing machine at work. Unfortunately, as John Searle has recently argued, and as others have agreed, the received answer appears to imply that AI and Cog Sci are a royal waste of time. The argument here is alarmingly simple: AI and Cog Sci (of the “Strong” sort, anyway) are committed to the view that cognition is computation (or brains are computers); butall processes are computations (orall physical things are computers); so AI and Cog Sci are positively silly. I refute this argument herein, in part by defining the locutions ‘x is a computer’ and ‘c is a computation’ in a way that blocks Searle's argument but exploits the hard-to-deny link between What's Computation? and the theory of computation. However, I also provide, at the end of this essay, an argument which, it seems to me, implies not that AI and Cog Sci are silly, but that they're based on a form of computation that is well “beneath” human persons.     

谈智能科学多媒体辅助教学设计

在多媒体辅助教学中,教学设计直接影响教学效果。认知心理学的发展,尤其是R.E.Mayer提出的多媒体教学理论给我们提供了一个研究教学设计规则的依据。描述同多媒体教学相关的认知心理学的几个基本理论,在此基础上提出一些关于提高多媒体辅助教学效果的教学设计方法。     

An artificial negotiating agent modeling approach embedding dynamic offer generating and cognitive layer

In this paper, a dynamic offer generating unit and cognitive layer are suggested for artificial agents based negotiation systems. For this purpose, first, adaptive time and behavior dependent tactics are developed taking advantages from time continuity and dynamics aspects (features) integrated in their modeling. Then, a negotiation strategy (bilateral over single issue) based on these two tactics is suggested. Second, a cognitive negotiation model for a negotiator agent is developed using Win-Lose and Win-Win orientations which will be formed based on personality factors. Afterwards, an experimental validation is conducted for testing applicability of time dependent tactics, the effect of offering time, and the effect of cognitive orientations (Win-Lose and Win-Win) on final negotiation outcomes. The results prove the applicability of the suggested time and behavior dependent tactics as well as the proposed cognitive negotiation model.     

2023年度人工智能领域国家自然科学基金项目申请与资助情况综述

对2023年度国家自然科学基金人工智能领域(申请代码F06)下的“人才”和“研究”两大项目系列中部分项目的申请与资助情况进行统计分析,并从申请代码、依托单位分布及其近五年(2019～2023)的变化趋势等角度进行分析,同时介绍本领域按科学问题属性分类的评审情况以及相关评审原则与举措.最后进行总结和展望,旨在为相关研究人员了解该领域的研究热点和未来发展方向提供参考.     

Computing Machines Can't Be Intelligent (...and Turing Said So)

According to the conventional wisdom, Turing (1950) said that computing machines can be intelligent. I don't believe it. I think that what Turing really said was that computing machines –- computers limited to computing –- can only fake intelligence. If we want computers to become genuinelyintelligent, we will have to give them enough initiative (Turing, 1948, p. 21) to do more than compute. In this paper, I want to try to develop this idea. I want to explain how giving computers more ``initiative' can allow them to do more than compute. And I want to say why I believe (and believe that Turing believed) that they will have to go beyond computation before they can become genuinely intelligent.     

Distributed artificial intelligence from a socio-cognitive standpoint: Looking at reasons for interaction

Distributed Artificial Intelligence (DAI) deals with computational systems where several intelligent components interact in a common environment. This paper is aimed at pointing out and fostering the exchange between DAI and cognitive and social science in order to deal with the issues of interaction, and in particular with the reasons and possible strategies for social behaviour in multi-agent interaction is also described which is motivated by requirements of cognitive plausibility and grounded the notions of power, dependence and help. Connections with human-computer interaction are also suggested.     

环境智能中上下文推理方法研究综述

上下文推理是环境智能研究的核心问题之一,与环境智能系统的觉察、响应及适应能力紧密相关,近年来受到国内外研究者的广泛关注。文中分析介绍上下文推理的主要研究内容、研究方法和研究进展,并探讨目前存在的问题及未来的发展方向。     

What's in a symbol: ontology,representation and language

This paper is in a form unconventional in modern journals but traditional for the discussion of foundational questions: a dialogue. It is a form that makes it possible to contrast two deeply held but incompatible views, each with its standard forms of defence, in order to seek common ground and make the differences more precise. In artificial intelligence, or at least in the major part of it still committed to symbolic representations, there is a long history of discussion of the origin and nature of the symbols we use in representations, symbols which normally look like words, English words in fact, but which most researchers deny are such words, since to concede that would put in question the abstract nature of the representation. In what follows, we examine our common ground and then diverge over five specific questions on the issue of representations. The discussion focuses on symbol use in representations of language, because there the similarity is most acute—between the representation and the represented—but the issues are general and apply to symbolic AI as such.     

人工智能综述

人工智能是研究使计算机来模拟人的某些思维过程和智能行为的学科,主要包括计算机实现的智能的原理、制造类似于人脑智能的计算机,使计算机能实现更高层次的应用。     

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。     

Video-games: Do they require general intelligence?

Here we test if playing video-games require intelligence. Twenty-seven university undergraduate students were trained on three games from Big Brain Academy (Wii): Calculus, Backward Memory and Train. Participants did not have any previous experience with these games. General intelligence was measured by five ability tests before the training session. Training comprised 10 blocks of trials (10 trials per block). Ackerman’s (Ackerman, P. L. (1988). Individual differences and skill acquisition. In P. L. Ackerman, R. J. Sernberg, & R. Glaser (Eds.), Learning and individual differences: Advances in theory and practice (pp. 165–217). New York: W.H. Freeman and Company) theory of skill learning was used as a framework for the present study. Results show that playing the Train game increases the correlation with general intelligence across blocks of trials. This is not the case for Calculus and Backward Memory. These findings suggest strategies for designing video-games presumably appropriate to stimulate our core cognitive abilities.     

师范院校计算机人工智能双语教学的方案设计

双语教学作为一个新的教学模式在高校的教学中还处于探索、研究阶段。本文结合人工智能课程的双语教学实践,详细分析了师范院校双语教学的特点,提出了师范院校双语教学遵循的原则,最后设计出了人工智能双语教学的方案。