International Conference on Intelligence Science
October 30-November 2, 2026, Beijing, China
http://www.lianyimf.com/ICIS/
The Seventh International Conference on Intelligence Science (ICIS2026) will be held in Beijing, China, on October 30-November 2, 2026, focusing on Intelligence Science, Information Science. It is sponsored by Chinese Association for Artificial Intelligence (CAAI); Organizer: Beijing Jiaotong University, China.
Artificial Intelligence research has made certain substantial progress in some special areas so far. However, the deeper understandings on the essence of intelligence are far from sufficient and, therefore, many state-of-the-art intelligent systems are still not able to compete with human intelligence. To advance the research in artificial intelligence, it is necessary to investigate intelligence, both artificial and natural, in an interdisciplinary context. The objective of this conference is to bring together researchers from brain science, cognitive science, artificial intelligence and and information science to explore the essence of intelligence and the related technologies. The conference provides a platform for discussing some of the key issues that are related to intelligence science.
The main theme of ICIS2026 is Intelligence Science.
Sponsors
Chinese Association for Artificial Intelligence (CAAI), China
Organizer
Beijing Jiaotong University, China
Co-Organizer
CAAI Mind Computation Technical Committee, China
General Chairs
Yixin Zhong Beijing University of Posts and Telecommunications, China
Ben Goertzel AGI Society, USA
Eunika Mercier-Laurent Université de Reims Champagne-Ardenne, France
Program Committee Chairs
Zhongzhi Shi Chinese Academy of Sciences, China
Wenfei Fan University of Edinburgh, UK
Gang Li Deakin University, Australia
Program Committee
Under Construction
Topics of Interest:
The topics of interest include, but not limited to, the following:
l Mechanism of intelligence creation
l Basic process of neural activity in brain
l Perceptual representation and feature binding
l Coding and retrieval of memory
l Large Language Model
l Linguistic cognition
l Advanced Learning
l Thought and decision making
l Emotion and affection
l Development and adaptation of intelligence
l Nature of consciousness
l Mind modeling
l Cognitive computing
l Brain-machine integration
l Intelligent robots and animal robots
l Brain-like intelligence
l Neuromorphic computing
l Big data analytics
l Information science
l Intelligent information processing
l Meta Synthetic Wisdom
l Mind philosophy
l Hybrid intelligence
l Essence of perception
l Mechanism of cognition
l Evolution
l Logic for AI
l Mathematical theory for AI
l Factor Space Theory
l Intelligent education
Important Deadlines:
Paper submission deadline: May 10, 2026
Notification of acceptance: June 1, 2026
Camera-ready version: July 1, 2026
Paper Submission:
Papers should be no longer than 15 pages including all tables, figures, and references but excluding a cover page. Submissions should be in the Springer LNCS format. Each submission must include one cover page which should contain:
· Title of the paper with an abstract of no more than 250 words;
· A few keywords, from the list above where possible, giving a clear indication of topics;
· Author names with affiliations, complete postal addresses, and phone numbers;
· Email address of the contact author.
The proceedings will be published by the Springer. Please download the template ( latex or .doc) from http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. All papers should be submitted electronically (preferably in PDF) via the EasyChair paper system: http://easychair.org/conferences/?conf=icis2026. All accepted papers will be indexed by EI and Inspec.
More information and detailed instructions can be found on the conference website at:
Qingyong Li Beijing Jiaotong University, China
Email: liqy@bjtu.edu.cn
General Secretary
Wenjia Niu Beijing Jiaotong University, China
Email: niuwj@bjtu.edu.cn
International Liaison
Yang Liu Beijing Jiaotong University, China
Email: yliucit@bjtu.edu.cn
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