第三届智能科学国际会议ICIS2018征稿北京大学11月2日-5日召开。附史忠植院士简历(公号发“智能科学国际会议”下载PDF)

原创：秦陇纪数据简化DataSimp 今天

DataSimp：第三届智能科学国际会议ICIS2018征稿，将于2018年11月2日-5日在北京大学召开。（附大会联合程序主席之一史忠植院士简历）数据简化社区获准转发中英文对照版，欢迎向该会议投稿。

ICIS2018112-5(11139)

01ICIS2018 (1090)

02 Call for Papers to The Third International Conferenceon Intelligence Science (ICIS2018) (834)

Topics of Interest:Important Deadlines:Paper Submission:

04 (9088)

1 )

2 3 4

5 6 7

8 9 )

(150)Appx(626).DataSimp

01ICIS2018 (1090)

ICIS2018

|ICIS20182018ICIS20182018112-5

http://www.intsci.ac.cn/icis2018/

ICIS20181125CAAISAST

(CAAI)

协办单位

(SAAI)

支持单位

(BAST)

Jay McClelland

Cyriel Pennartz

ICIS2018

2018625

2018710

2018810

Easychair system”http://easychair.org/conferences/?conf=icis201810pdf631IEEE

Workshop

http://www.intsci.ac.cn/icis2018/

jwma@math.pku.edu.cn

dsluo@pku.edu.cn

949309225@qq.com

zzssyy@math.pku.edu.cn

（其余略）

02 Call for Papers to The Third International Conference on IntelligenceScience (ICIS2018) (834)

CallforPapers

http://www.intsci.ac.cn/icis2018

Sponsors

Chinese Association for ArtificialIntelligence (CAAI)

China Chapter under International Societyfor Information Studies

Organizers

Peking University

Co-Supports

Beijing Association for Science andTechnology (BAST)

Shanghai Association for Science andTechnology (SAST)

Beijing Association for ArtificialIntelligence (BAAI) CIE Signal Processing Society

Steeringcommittee

Peking University LeaderDeyi Li, President of CAAi

Jianxian Lin, PekingUniversityYanda Li, TsinghuaUniversityBo Zhang, TsinghuaUniversity

Ruqian Lu, Chinese AcademyofSciences Wen Gao, PekingUniversity

Guangjian Zhang, ChineseAssociationfor Noetic Science(inPreparation)

Generalchairs

The Third International Conferenceon Intelligence Science (ICIS2018) will be held in Beijing, China, on November2-5, 2018, focusing on Intelligence Science, Information Science. It issponsored by Chinese Association for Artificial Intelligence (CAAI), ChinaChapter of International Society for Information Studies; Organizer is PekingUniversity; and Co-supported by Beijing Association for Science and Technology(BAST), Beijing Association for Artificial Intelligence (BAAI).

Artificial Intelligenceresearch has made certain substantial progress in some special areas so far.However, the deeper understandings on the essence of intelligence are far fromsufficient and, therefore, many state-of-the-art intelligent systems are stillnot able to compete with human intelligence. To advance the research inartificial intelligence, it is necessary to investigate intelligence, bothartificial and natural, in an interdisciplinary context. The objective of thisconference is to bring together researchers from brain science, cognitivescience, and artificial intelligence to explore the essence of intelligence andthe related technologies. The conference provides a platform for discussingsome of the key issues that are related to intelligence science.

The main theme ofICIS2018 is: Intelligence Science, Information Science

Topics of Interest:

The topics of interestinclude, but not limited to, thefollowing:

Yixin Zhong, BeijingUniversity of Posts and Telecommunications

Jay McClelland, StanfordUniversity, USA Xingui He, Peking University

ProgramCommittee Chairs

Zhongzhi Shi, ChineseAcademy of Sciences Cyriel Pennartz U, Amsterdam, Netherlands Tiejun Huang,Peking University

Workshops

Intelligent EducationChairs：Wansen Wang, HongguangFu, Shimin Meng

Noetic science Chairs：JialiFeng, Xiaofeng Wang Language cognition Chairs：ZhiweiFeng, Houfeng Wang, Xiaohui Zou

Artificial Intelligencein Medicine MM Chairs： Zhisheng Huang,Jianfeng Feng

Statistical Leaning forIntelligent Information Processing Chairs：Jinwen Ma, Yatong ZhouPhase theorem Chairs：Chuan Zhao

OrganizingChairs

Jinwen Ma, PekingUniversityEmail:jwma@math.pku.edu.cn

SecretaryGeneral

Dingsheng Luo, PekingUniversity Email:dsluo@pku.edu.cn

Basic process of neuralactivity in brain Perceptual representation and feature binding Coding andretrieval of memory

Linguistic cognitionAdvanced Learning

Thought and decisionmaking Emotion and affection

Developmentand adaptation of intelligence Nature of consciousness

Mindmodeling Cognitive computing

Brain-machineintegration Intelligent robots and animal robots Brain-like intelligence

Important Deadlines:

Notification of acceptance:July 10, 2018

Paper Submission:

The main theme of ICIS2018 is: Intelligence Science,Information Science

It is sponsored by Chinese Association for ArtificialIntelligence (CAAI), China Chapter of International Society for InformationStudies; Organizer is Peking University; and Co-supported by BeijingAssociation for Science and Technology (BAST), Beijing Association forArtificial Intelligence (BAAI).

Topics of Interest:

Topics of interest include but not limited to, thefollowing areas:

*Basic process of neural activity in brain *Evolution

*Perceptualrepresentation and feature binding *Cognitivestructure

*Coding and retrieval of memory *Learning and synapticplasticity

*Exploration and active sampling *Thought and decisionmaking

*Emotion and affection *Nature of consciousness

*Development and adaptation of intelligence *Mindmodeling

*Cognitive computing *Brain-machine integration

*Intelligent robots and animal robots *Brain-likeintelligence

*Neuromorphic computing *Big data analytics

*Intelligent information processing *Meta SyntheticWisdom

*Mind philosophy *Hybrid intelligence

*Essence of perception *Mechanism of cognition

*Advanced learning *Linguistic cognition

*Logic theory for AI *Mathematical theory for AI

Vice Secretary General

Xiaohui Zou, Sino-American Saerle Research Center

Email:949309225@qq.com

Local Arrangement Chair

Shuyi Zhang, Peking University Email:zzssyy@math.pku.edu.cn

Finance Chair

Wenhui Cui, Peking UniversityEmail:cuiwenhui@math.pku.edu.cn

Publication Chair

Tian Liu, Peking University Email:lt@pku.edu.cn

Publicity Chair

Yongzhi Cao, Peking University Email:caoyz@pku.edu.cn Zhicheng Chen, Beijing Grid Tech. Email:czc0910@163.com

International Liaison

Kedian Mu, Peking UniversityEmail:mukedian@math.pku.edu.cn

Papers should be no longer than 10 pages including alltables, figures, and references but excluding a cover page. Submissions shouldbe in the Springer LNCS format.

Each submission must include one cover page which shouldcontain:

Title of the paper with an abstract of no more than 250words;

A few keywords, from the list above where possible,giving a clear indication of topics;

Author names with affiliations, complete postaladdresses, and phone numbers;

Email address of the contact author.

The proceedings will be published by the Springer. Pleaseclick here to get the detailed paperformat. All papers should be submitted electronically (preferably in PDF) viathe Easychair paper system http://easychair.org/conferences/submission_show_all.cgi?a=17656950.

or through the ICIS2018 website (http://www.intsci.ac.cn/icis2018/)

All accepted papers will be indexed by EI and Inspec.

More information and detailed instructions can be foundon the conference website at: http://www.intsci.ac.cn/icis2018/.

03 (9088)

IFIPIEEEAAAIShiZhongzhi19419

http://www.intsci.ac.cn/shizz/

研究员

中国科学院智能科学实验室

中国科学院计算技术研究所

534室，科学院南路6号，中关村

P.O.Box 2704，北京100190

电话: (010)82610254,82522201(h)

传真: (010) 82610254

Email: shizz@ict.ac.cn;ady.shi@qq.com

0 计算技术研究所简历

1 人物简介介绍研究领域荣誉著作)

IJCAI1997IFIPTC12Web SemanticsInformatics

图3

863(agent)

1979

1994

1998

2001

2002

11208012350

2 主要经历

1964

1968

1980919834

1989819905

2004

3 研究方向

CARBA“MAGE”

CSCW

3MSMiner

Autonomic Element

IT――

PCIBMPC

K--

DCLTAC

MIRES

GHunt

4 科研项目

本项目是国家自然科学基金重点项目，将借鉴脑科学和神经科学的最新研究成果，开展跨学科的共同研究，从感知学习和语言认知机理入手，探讨智能计算的新理论和新方法；针对特定的使用环境，提出融合视觉、听觉智能信息处理的人机交互新方法。除理论成果之外，还研制体现新方法的演示系统。

本项目是国家重点基础研究发展计划973课题。本课题研究的主要任务是为图像与视频非结构化信息的内容理解与语义表征提供创新的理论与方法。主要研究图像与视频信息的语义提取、推理、特征整合方法，并实际应用于多媒体智能检索与视觉监控。

图像与视频是最主要的一类非结构化信息，它包含了丰富的语义信息。图像的智能信息处理，包括分析图像中的关键内容，特别是解决从图像中对目标（人物、车辆）的检测、识别和理解，是非结构化信息处理中极具挑战的研究课题，对于国家安全和经济发展有着极其广泛而重要的作用。

本项目是国家重点基础研究发展计划973课题。本课题主要研究语义网的逻辑基础、本体匹配方法、主体网格及分布式数据挖掘和面向网格的复杂网络建模等。

本项目是国家高技术863项目。网构软件是一种在互联网开放、动态和多变环境下的软件系统，保证系统的可靠性、可信性以及系统的可维护性和有效性，是一个非常重要的问题，必须研究网构软件的可信计算问题。本课题将充分运用人工智能的最新成果，特别是主体技术、自治计算、机器学习的方法，建立网构软件的可信建模理论，研究软件自治愈技术和自恢复技术，开发具有自治管理功能的自治管理器原型系统。本项研究成果将能提高网构软件的可信计算水平，也可以广泛用于通用的软件系统或设备，在国防、能源、金融、生物制药、工程仿真、农业经济、航天航空、情报等领域，提高现代信息服务业的可靠性和可用性。

本项目是国家自然科学基金面上项目。本项目将研究语义Web服务的逻辑基础，结合描述逻辑、动态逻辑、以及动作理论中的相关成分，构建扩展的动态描述逻辑。在动态描述逻辑的基础上，进一步引入时序逻辑以及逻辑程序设计等成分，为语义Web服务的描述、推理、发现、组合等功能提供充分的逻辑支撑。与此同时，本项目将开发基于该动态描述逻辑及其扩展形式的推理机，通过推理机实现相关的各种推理能力。进一步将推理机与本体知识管理等结合，实现语义Web服务演示系统。

本项目是国家自然科学基金重点项目。开展以语义Web为基础的理论与关键技术研究,在Internet上提供智能型的服务与应用。研究内容包括网络智能化及与语义Web相关的基础理论与关键技术、网络服务的基础理论、网络信息集成方法与技术、网络重大应用（如电子政务、电子商务等）的基础理论与关键技术。

5 科研成果

・AGrIP

・MAGE

・MSMiner

・IDSS

・MIRES

・GHunt(PPT)

・OKPS(PPT)

・Fisher(PPT)

・(PPT)

・IDSDP

・GHunt

・MBMS

・COPS

・CBRS

・ONESS

6 研究生课程

・史忠植: 高级人工智能

・史忠植: 智能科学

・史忠植: 高级计算机网络

・史忠植: 数据挖掘

・史忠植：人工智能

・史忠植：神经网路

7 获奖情况

11979

21994

31998

42001

52002

8 人才培养







		Nicolas Bredeche














甯镐寒
			石志伟
		谭力





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硕士		硕士	硕士

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