一种综合可计算情感建模方法

情感作为人类具有智能的一个重要体现,是创建可信服的虚拟智能体不可或缺的环节.如何通过情感来提高虚拟智能体的智能性和可信服性已成为亟待解决的关键问题.结合生理和认知对情感的影响,提出了一种综合的可计算情感建模方法;设计了一个完全的过程框架,以描述情感在不同时刻如何动态变化以及如何处理多种混合情感的情况;并建立了基于具体描述事件和情感关系的情感结构,以产生具体、真实的情感行为;提出了交互学习机制以增强虚拟智能体对动态环境的适应能力.实例验证表明,此情感模型能有效地增加虚拟智能体在交互过程中的可信服性.     

虚拟智能体情感研究综述

分别从合成情感模型、个性模型以及合成情感具体行为表现等方面,介绍并分析了各类模型和方法的基本思想和关键技术;进而给出了若干具有代表性的虚拟智能体情感应用系统,并对如何将上述情感技术应用于虚拟智能体进行了总结;最后提出了未来虚拟智能体情感研究需解决的若干问题.     

稀疏奖励下基于情感的异构多智能体强化学习

在强化学习中,当处于奖励分布稀疏的环境时,由于无法获得有效经验,智能体收敛速度和效率都会大幅下降.针对此类稀疏奖励,文中提出基于情感的异构多智能体强化学习方法.首先,建立基于个性的智能体情感模型,为异构多智能体提供激励机制,作为外部奖励的有效补充.然后,基于上述激励机制,融合深度确定性策略,提出稀疏奖励下基于内在情感激...     

人机交互中的智能体情感计算研究

机器的情感是通过融入具有情感能力的智能体实现的,虽然目前在人机交互领域已经有大量研究成果,但有关智能体情感计算方面的研究尚处起步阶段,深入开展这项研究对推动人机交互领域的发展具有重要的科学和应用价值。本文通过检索Scopus数据库选择有代表性的文献,重点关注情感在智能体和用户之间的双向流动,分别从智能体对用户的情绪感知和对用户情绪调节的角度开展分析总结。首先梳理了用户情绪的识别方法,即通过用户的表情、语音、姿态、生理信号和文本信息等多通道信息分析用户的情绪状态,归纳了情绪识别中的一些机器学习方法。其次从用户体验角度分析具有情绪表现力的智能体对用户的影响,总结了智能体的情绪生成和表现技术,指出智能体除了通过表情之外,还可以通过注视、姿态、头部运动和手势等非言语动作来表现情绪。并且梳理了典型的智能体情绪架构,举例说明了强化学习在智能体情绪设计中的作用。同时为了验证模型的准确性,比较了已有的情感评估手段和评价指标。最后指出智能体情感计算急需解决的问题。通过对现有研究的总结,智能体情感计算研究是一个很有前景的研究方向,希望本文能够为深入开展相关研究提供借鉴。     

情感理论及基于情感的决策理论与模型研究

情感能力是人类智能的重要标志,与人类认知相互依赖和影响。因此,研究情感理论,模拟人类情感,对增强豫统智能具有重要意义。本文根据情感激发、产生的内在机理,提出情感的三级层次;为影响和激发情感的内部状态建立模型;基于情感的模糊性,运用模糊逻辑定义了情感的强度,并提出情感状态描述;通过分析情感在决策过程中的作用,结合MAS理论与决策系统的研究成果,提出了具有情感能力的个体Agent模型和具有情感功能的MAS决策模型。     

Research on Crowd Simulation based on Emotional Contagion Model

现有的群体仿真着重研究避碰和路径规划问题,为使群体仿真更加真实、可信,提出一种情绪传染模型来研究情绪传染对群体中各个智能体行为的影响.首先赋予每个智能体“人格”,通过智能体情感模型计算出智能体的情绪状态,然后根据情绪传染模型实现群体中的情绪互动.最后建立了一个群体仿真系统,基于Unity3D引擎给出了特定情景下受情绪传染影响的群体行为变化,同时验证了文中所提模型的有效性.     

一种MAS构件知识复用动态演化模型

为提高企业的知识利用效率,增强企业创新能力,针对企业现有知识和系统,提出将企业知识管理的业务逻辑与知识处理事务分开,建立了基于多智能体和构件知识的知识复用模型,设计了知识管理业务逻辑的规则模型和智能体的活动行为模型,讨论了基于多智能体的规则协调模式,有效地支持知识的动态复用和知识使用过程的动态重组,增强知识管理系统的分布式处理能力和规模可扩展能力.在分布式构件库系统中,智能体通过协作联合完成任务要求.每个智能体拥有自己的知识库,并且具备学习能力,能够更新其知识库以保持执行结果的有效性.     

情感智能主体模型

为使智能主体能有效处理情感,具有更高的智能性,论文在传统BDI智能主体模型的基础上,首次提出了一种情感智能主体模型结构,该模型通过建立情感知识库实现情感表示,利用情感推理算法实现情感推理,从而完成简单情感的处理。模型已初步实现,应用结果表明该模型能有效实现简单情感处理。     

基于演化规划的多智能体系统中动态行为的建模

在多智能体系统中，每个智能体必须使自身适应环境动态地同其它智能体协调。为达到此目标，智能体须有预测其他智能体的行为及与其它智能体协作的能力，应动态地建立起自身的行为模型并且不断的演化它。     

浅谈人工情感

随着人工智能技术研究的逐渐深入,智能主体拟人化程度和智能程度越来越高,情感在智能主体中有何作用及如何建立人工情感的模型等一系列摆在我们面前.本文介绍了人工情感的应用、作用、模型.     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。