第四届智能科学国际会议

来源:ICIS2020

[基本信息]

会议名称:第四届智能科学国际会议

The Fourth International Conference on Intelligence Science (ICIS2020)

开始日期:2021-02-24

结束日期:2021-02-27

所在国家:India

所在城市:West Bengal

[重要日期]

全文截稿日期:2020-09-30

[会务组联系方式]

会议网站:http://www.intsci.ac.cn/icis2020/

[会议背景介绍]

Artificial intelligence (AI) is a term first defined in the year 1956. The field of AI, attempts to understand intelligent systems. Thus, one obvious reason to study it is to learn more about ourselves, the human intelligence. But unlike philosophy and psychology, which are also concerned with intelligence, AI strives to build intelligent systems as well as understand them. AI currently encompasses a huge variety of subfields, from general-purpose areas such as perception and logical reasoning, to specific tasks such as playing chess, proving mathematical theorems, writing poetry, and diagnosing diseases. Often, scientists in other fields move gradually into artificial intelligence, where they find the tools and vocabulary to systematize and automate the intellectual tasks on which they have been working all their lives. Advancement in the field of AI requires deeper investigation of both artificial and natural intelligence, in an interdisciplinary context. The objective of this conference is to bring together the researchers from the fields of brain science, cognitive science and artificial intelligence under a common umbrella to reconnoitre the essence of intelligence and the related technologies.
The main theme of ICIS2020 is: “From AI to Intelligence Science”

[征文范围及要求]

Topics of Interest:

Topics of interest include but not limited to, the following areas:

Theory and Foundations of Intelligence Science

 Logical and Mathematical theory of AI

 Perceptual Intelligence

 Intelligent Robot

 Fault Diagnosis

 Cognitive Computing

 Big Data Analysis and Machine Learning

 Intelligent Information Processing

 Intelligent Applications

 Brain Cognition

 Data Intelligence

 Intelligent Information Processing

 Mind Modeling

 Factor Space Theory

 Intelligent Transportation Systems

 Learning and Synaptic Plasticity

 Intelligent Education