US News & World Report. We work closely with the Database
Systems, Information Retrieval, and Intelligent Internet Systems group and the Computer
Graphics, Computer Vision and Animation group, as well as with collaborators throughout UW and at nearby companies like Microsoft, Amazon, Boeing, and Google.我们排在五大部门认可的美国新闻与世界报道。与我们紧密合作， 数据库系统，信息检索，互联网系统及智能组和计算机图形学，计算机视觉和动画组，以及与整个合作者华盛顿大学和微软这样的公司附近，亚马逊，波音，谷歌。
AI at UW is a growing community with a large number of current projects as well as past successes. These pages give you a sampler of ongoing and past work.威斯康星大学人工智能在过去的成功是一个社会的数目越来越庞大的经常项目与以及。这些网页给你一个采样工作正在进行和过去。 Enjoy!享受！
AI Demos人工智能演示
![[当前]](http://www.cs.washington.edu/ai/green-bullet.jpg){kind=small}
Cross-lingual
Image Search 跨语言图片搜索 TextRunner TextRunner
New projects!新项目！
MDP
Solvers That Scale MDP的解算器，定额 Intelligence
in Wikipedia Project 智能工程在维基百科 Sensing
and Modeling Dynamic Social Networks 传感与社会网络的动态建模 ARNAULD: Preference
Elicitation For Interface Optimization ARNAULD：偏好接口启发式优化 Markov
Logic Networks: Probabilistic first-order knowledge bases 马尔可夫逻辑网络：概率的一阶知识基地 Planning
for Concurrent Durative Uncertain Actions: Augmenting Markov Decision Processes to handle concurrent temporally-extended actions. 规划并行不确定长效措施：增广马尔可夫决策过程在处理并发暂时性的扩大行动。 Spectral
graph partitioning: Clustering and learning in networks of symmetric and asymmetric relationships. 光谱图的分区：聚类和学习的关系网络中的不对称和对称。 KnowItAll: Automated,
domain-independent, web-scale information extraction and evaluation. KnowItAll：自动，域名，独立的，网络规模的信息提取和评价。 Statistical
Relational Learning: Learning from noisy data in rich representations. 统计关系学习：学习丰富的陈述从嘈杂的数据。 Collective
Knowledge Bases: Merging knowledge from a multitude of sources. 集体知识基础：知识的来源合并多种从。 Large-Scale
Machine Learning: Mining massive data streams. 大机器学习：挖掘大量数据流。 Assisted
Cognition: Computer systems to aid people with Alzheimer's disease. 辅助认知：电脑系统，以协助病患者与老年痴呆症。 CORE: Optimizing
search algorithms using Bayesian models to predict running time. 核心：优化搜索算法使用贝叶斯模型来预测运行时间。
In the list below current projects are marked with a在低于目前的项目清单标有 while past work is noted with a而过去的工作是一个注意到 
.
。
Intelligent
Internet Systems 智能网络系统
Intelligence
in Wikipedia Project 智能工程在维基百科 KnowItAll: Automated,
domain-independent, web-scale information extraction and evaluation. KnowItAll：自动，域名，独立的，网络规模的信息提取和评价。 Opine 觉得 Tukwila: Data
integration system for heterogeneous data on the web. 塔奇拉：数据网络集成异构系统的数据。 Mulder: A natural-language question-answering service that Believes. 马尔德：一种自然语言提问应答服务，如认为。 Tiramisu: Declarative
Web-site management. 提拉米苏：声明网址管理。 The
Internet Softbot: The mother of all intelligent internet systems. 互联网Softbot：该系统的所有智能母亲上网。 Site
popularity meta-search: Re-ranking results of web engines using web page popularity. 网站受欢迎元搜索：结果网页发动机再使用网页受欢迎程度排名。 Grouper: Document
clustering for improved search results on the web. 石斑鱼：文档的Web聚类结果对改进搜索。 ReferralWeb: Explore
the social networks that exist on the Web. ReferralWeb：探索网络社会的网络上存在。
Intelligent and Personalizable User
Interfaces智能化和个性化用户界面
ARNAULD: Preference
Elicitation For Interface Optimization ARNAULD：偏好接口启发式优化 SUPPLE: Automatic
Generation of User Interfaces 柔软：用户界面的自动生成 Provably
Reliable Question-Answering Interfaces: Natural language interfaces that are guaranteed to answer "easy questions" correctly. 可证明可靠的自动问答接口：自然语言回答接口，
保证 “简单的问题”正确。 Adaptive
Web sites: Sites that improve their organization by learning from visitor usage. 自适应Web站点：网站访问者使用能够改善他们从组织的学习。 Web
Site Personalizers: Intermediaries between servers and visitors that automatically adapt and customize content for wireless web visitors. 网站Personalizers：旅客和游客的中介服务器之间自动适应和无线网络定制内容。 Programming
by Demonstration: Using AI techniques to improve user interfaces. 规划由示范：利用人工智能技术来提高用户界面。 Adaptive
interfaces for machine learning systems . 自适应学习系统的人机界面 。
Knowledge Representation and Reasoning知识表示和推理
CORE: Optimizing
search algorithms using Bayesian models to predict running time. 核心：优化搜索算法使用贝叶斯模型来预测运行时间。 Structural
Modeling for Anatomy: Representing knowledge about human anatomy. 解剖结构建模：人体解剖代表知识。 Walksat: Stochastic
local search for satisfiability. Walksat：满足性的随机局部搜索。
LearningHuman Behavior 人类行为学
Sensing
and Modeling Dynamic Social Networks 传感与社会网络的动态建模 Activity
Recognition 活动识别 Assisted
Cognition: Computer systems to aid people with Alzheimer's Disease. 辅助认知：电脑系统，以帮助人们与阿尔茨海默病的。
MachineLearning and Data Mining 机器学习和数据挖掘
Machine
Learning in Biology 在生物学学习机 Markov
Logic Networks: Probabilistic first-order knowledge bases 马尔可夫逻辑网络：概率的一阶知识基地