● Agent-based, multiagent systems and game theory
● Optimisation, constraint satisfaction, and search
● Evolutionary computation and learning
● Fuzzy and uncertainty of AI systems
● Knowledge acquisition, ontologies and representation
● Planning, scheduling, combinatorial optimisation, and reinforcement learning
● Cognitive modelling and computer-human interaction
● Reasoning for AI systems and deep learning
● Machine learning and deep learning related emerging topics
● Multidisciplinary AI, and other emerging AI-related topics
● AI applications and innovations, e.g. healthcare, education, entertainment, smart city, IoT, and blockchain
● Computer vision and image processing
● Natural language processing, text mining, and information retrieval
● Data mining and knowledge discovery, web/social media mining, graph neuralnetworks, and recommendation system
● Robotics, human-robot Interaction, social robotics
● Data-driven AI: big data, representation, analytics and visualisation
● AI infrastructure: cloud, networking, data warehouse, IoT, AutoML, and hardware
● Ethical, legal, explainable, trustable and accountable AI
● Software engineering for AI, and AI project management
● Privacy-preserving AI and federated learning
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
● Full papers
Submitted papers should not exceed 12 pages and should not be under review or submitted for publication elsewhere during the review period. All papers will be peer-reviewed by at least three independent referees. Papers will not be reviewed if they do not follow the page limit or do not follow the format requirements of the Springer Conference Proceedings.
● Key dates (Anywhere on Earth)
○ Submission deadline: 20 Aug 2021
○ Notification date: 23 Sep 2021
○ Camera-ready version: 5 Oct 2021
○ Conference dates: 2-4 Feb 2022
○ Word template download (splnproc1703.zip)
○ Latex download (llncs2e.zip)
○ Latex on Overleaf (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WsdHOy5uZpg)
● The camera-ready version should not exceed 12 pages (including References and Appendix) in LNAI (Lecture Notes in Artificial Intelligence) format.
● The camera-ready version must be prepared in accordance with the LNAI format.
● For the template and details on the LNCS style, see Springer’s Author Instructions, click here.
● Please fill in the copyright form and submit it with the camera-ready paper.
AJCAI2021 proceedings will be published in Springer's Lecture Notes in Computer Science Series. The previous conferences’ proceedings were published in Springer as below link. (https://link.springer.com/conference/ausai).