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ICMAI 2024 : 9th International Conference on Mathematics and Artificial Intelligence

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Link: http://icmai.org/
 
When May 10, 2024 - May 12, 2024
Where Beijing, China
Submission Deadline Dec 20, 2023
Notification Due Jan 20, 2024
Final Version Due Feb 20, 2024
Categories    artificial intelligence   data fusion   causal learning   machine learning
 

Call For Papers

ICMAI 2024 will be held from May 10-12, 2024, in Beijing, China. It is sponsored by Beijing University of Technology, China.

The conference encourages contributions that promote the exchange of ideas and rational discourse between educators and researchers. It provides a unique opportunity for participants to engage in discussions and collaborations that can lead to the development of innovative solutions and advancements in the field of mathematics and artificial intelligence. Participants can expect a diverse range of presentations, keynote speeches, panel discussions, and workshops that cover various aspects of mathematics and artificial intelligence. The conference will provide a platform for researchers to showcase their latest findings, exchange knowledge, and explore potential collaborations.

ICMAI 2024 promises to be an enriching and intellectually stimulating event, offering participants the opportunity to network with leading experts, gain insights into cutting-edge research, and contribute to the advancement of mathematics and artificial intelligence. Whether you are an established academic, a budding researcher, or an industry professional, this conference is a must-attend event to stay updated with the latest trends and developments in these fields.


The following topics of interest for submission include, but are not limited to:

Fuzziness and AI
Topology and AI
Algebra and AI
Trustworthiness and AI
optimization and AI
Artificial intelligence frontier numerical calculation method
Reinforcement learning for intelligent decision making
Mathematical methods in data science
Data fusion algorithm and application
Graph Computing and Graph Neural networks
Causal learning and interpretability
Multigranular cognitive computing
Three-way decision making and Machine Learning
Mathematical Foundations
Mathematics, general
Artificial Intelligence (incl. Robotics)
AI and Digital Entertainment
AI and Education
AI and Smart Cities
AI applications
AI architectures
AI in Learning Environments
Automated Reasoning
Big Data
Cognitive modeling and Computing
Cognitive Models
Cognitive Robotics
Complex Systems
Computational Creativity
Computer Science, general
Constraint Satisfaction
Data Mining
E‐Commerce
Evolutionary Computation
Experimentation of Combinatorial Algorithms
Human Computer Interaction
Information Agents
Information Retrieval and Extraction
Knowledge Acquisition
Knowledge Engineering
Knowledge Representation
Knowledge Representation
Learning in adaptive systems
Machine Consciousness
Machine Learning
Metacognition in Artificial Agents
Multiagent Systems, Distributed AI
Multi‐media Processing
Natural Language Processing
Neural Nets
Ontologies
Philosophical Foundations
Planning and Scheduling
Semantic Web
Smart Graphics
Soft and Evolutionary Computing
Vision and Perception
Web and Data Mining
Web Applications

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