Session Tracksหัวข้อหลักของการประชุม

This track explores the mathematical theories underpinning artificial intelligence, focusing on logic, set theory, and probability. Contributions will highlight how these foundations facilitate advancements in AI methodologies.

This session delves into the design and analysis of algorithms specifically tailored for artificial intelligence applications. Papers will address complexity challenges and propose innovative solutions to enhance computational efficiency.

This track focuses on the intersection of machine learning and statistical techniques, emphasizing their application in predictive modeling and data analysis. Submissions should demonstrate the integration of mathematical rigor in machine learning frameworks.

This session invites contributions on automated deduction systems and their role in enhancing logical reasoning within AI. Papers should explore novel approaches to formal verification and theorem proving.

This track investigates the role of computational geometry in solving complex problems in artificial intelligence. Contributions will focus on geometric algorithms and their applications in robotics and computer vision.

This session aims to discuss the integration of artificial intelligence in decision support systems across various domains. Papers should highlight mathematical models that enhance decision-making processes.

This track examines the development of knowledge-based systems through the lens of mathematical modeling. Contributions will explore how formal methods can improve knowledge representation and reasoning.

This session focuses on the application of mathematical techniques in robotics and planning. Papers should address algorithmic strategies that enhance robotic autonomy and efficiency.

This track explores the use of combinatorial mathematics in artificial intelligence applications. Contributions will highlight innovative combinatorial algorithms and their impact on problem-solving in AI.

This session invites papers that discuss the role of computational mathematics in advancing artificial intelligence research. Topics may include numerical methods, simulations, and their applications in AI.

This track encourages submissions that explore the interdisciplinary applications of artificial intelligence and mathematics in various fields. Contributions should demonstrate the synergy between mathematical theories and AI technologies.