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JournalISSN: 1673-4785

Caai Transactions on Intelligent Systems 

About: Caai Transactions on Intelligent Systems is an academic journal. The journal publishes majorly in the area(s): Artificial neural network & Support vector machine. Over the lifetime, 281 publications have been published receiving 979 citations.

Papers published on a yearly basis

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Journal Article
Hu Jun1
TL;DR: The current situation and the development prospects of GrC are introduced, then the fundamental and existing problems related to GrCare are presented and its basic models and methods summarized.
Abstract: In the field of computational intelligence,granular computing(GrC)is a new way to simulate human thinking to help solve complicated problemsGrC involves all the theories,methodologies and techniques of granularity,providing a powerful tool for the solution of complex problems,massive data mining,and fuzzy information processingIn this paper,first the current situation and the development prospects of GrC are introduced,then the fundamental and existing problems related to GrC are presented and its basic models and methods summarizedFinally,some future research topics about GrC are presented,such as,uniform granular computing model,granulation of complex problem space,transformation between granule spaces,efficient granular computing algorithm,novel granular computing model,dynamic granular computing model,data-driven granular computing model,fuzzy granular computing method,and the applications of granular computing models,etc

60 citations

Journal Article
TL;DR: This analysis shows that large-scale task allocation for heterogeneous robots is a major research area and swarm intelligence will be a good choice to solve this kind of task allocation.
Abstract: This paper summarizes the latest developments in multi-robot task allocation,including categories of task allocation,methods of task allocation,task deadlock,and its eliminationIn addition,trends in methodologies for multi-robot task allocation are analyzed and comparedOur analysis shows that large-scale task allocation for heterogeneous robots is a major research area and swarm intelligence will be a good choice to solve this kind of task allocation

52 citations

Journal Article
TL;DR: Autonomous underwater vehicle, as a sophisticated system integration of artificial intelligence, underwater target detection and identification, data fusion, intelligent control, communication and navigation sub-systems, is an unmanned platform to carry out various civil and military missions in complex ocean environments.
Abstract: Autonomous underwater vehicle(AUV), as a sophisticated system integration of artificial intelligence, underwater target detection and identification, data fusion, intelligent control, communication and navigation sub-systems, is an unmanned platform to carry out various civil and military missions in complex ocean environments. Owing to the expectation that AUV will be very promising in maritime research and ocean development and it also may find its way of application in the future underwater conflict for intelligence acquisition, accurate attack and “asymmetric intelligent acupunctural warfare”, AUV tech is an important and active field of RD,especially in the big powers of the world. State-of-the-art and main trend of development are presented based on our own (domestic) practice and experiences in related technical problems and suggestive proposals for probable way of solution to the problems are offered. The related areas are as follows: vehicle (carrier/platform) design, architecture, control, intelligent planning and decision making, AUV simulation and virtual reality, underwater target detection and identification, reliability and fault-tolerant techniques,etc. With the development of science and artificial intelligence, we'll see encouraging results in many enabling techniques for AUV. However, AUV technology is still in its stage of basic research, test and development, and there is still a long way to go for its full availability.

47 citations

Journal Article
TL;DR: Key problems in the areas of academic concepts, actual games,oretical developments, military applications, international competitions, cultivation of the creativity of students and so on are described, which must to be quickly solved in order to get more results in this challenging and important field.
Abstract: A long-term goal of computer game programmers is to make computers able to play board and card games well enough to challenge Super Master players.In order to speed up the development of new domains of research that could yield breakthrough results,it is necessary to understand what is holding back computer game research.This paper describes key problems in the areas of academic concepts,actual games,theoretical developments,military applications,international competitions,cultivation of the creativity of students and so on,all of which must to be quickly solved in order to get more results in this challenging and important field.

24 citations

Journal Article
TL;DR: In this paper, the definition and meaning of artificial psychology and artificial emotion, the key supporting technology, the main content of the research and application field were presented, and the progress of the interrelated research inside and outside the country was also analyzed.
Abstract: In this paper,the definition and meaning of the research of artificial psychology and artificial emotion, and the key supporting technology, the main content of the research and application field were presented, and the progress of the interrelated research inside and outside the country was also analysed.The research of artificial emotion is primarily involved in effective computing; artificial psychology includes artificial emotion, artificial consciousness and the artificial digital technology of cognition and emotion. Artificial emotion is the primary research content of artificial psychology. At last, it presented some scientific problems waiting to be resolved in the future and proposed some suggestions. It pointed out that it was the main tasks for the researchers of artificial psychology and!artificial emotion to research the method of affective formalization, develop the human psychology digital technology and realize their applications in the field of the national economy.

17 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20154
201418
201324
201227
201136
201040