Call for Papers | Download the CFP Flyer
It is hoped to influence the spawning of new areas of applied mathematics and the strengthening of the scientific underpinnings of Artificial Intelligence. The following topics of interest for submission include, but are not limited to:
Track 1: Artificial Intelligence Theory and Application Fuzziness and AI Algebra and AI Trustworthiness and AI Artificial Intelligence (incl. Robotics) AI and Digital Entertainment AI and Education AI and Smart Cities AI applications AI in Learning Environments Human Computer Interaction Robotics / Softrobotics and Control Applications Knowledge Engineering Natural Language Processing Vision and Perception Knowledge acquisition Image Analysis • Video Analysis • Medical Image Processing • Intelligent Vehicles • Knowledge Representation and Reasoning • Intelligent Robot and Systems • Smart Medical Systems |
Track 2: Intelligent algorithms and soft computing Artificial intelligence frontier numerical calculation method Reinforcement learning for intelligent decision making Data Mining 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 Computational Creativity Computer Science, general Evolutionary Computation Experimentation of Combinatorial Algorithms Learning in adaptive systems Machine Learning Neural Nets Soft and Evolutionary Computing Algorithm Design for Intelligent Solutions Machine Learning Applications Graph-based models for human reasoning Data and Text mining Knowledge reasoning, statistical learning, deep learning, reinforcement learning Fuzzy Logic |
Track 3: Mathematical Theory and Fundamentals Cognitive modeling and Computing Probability and Statistics Differential Equations and Applications Discrete Mathematics and Control Linear Algebra and Applications Numerical Analysis Operations Research and Optimization Approximation Theory Combinatorics Computability Theory Discrete Geometry Matrix Computations Ordinary Differential Equations Partial Differential Equations Statistical Finance Stochastic Processes Financial Mathematics Nonlinear Processes in Physics Game Theory Graph Theory Linear Programming Mathematical Biology Mathematical Chemistry Mathematical Economics Mathematical Physics Mathematical Psychology Mathematical Sociology |
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Track 1: 人工智能理论与应用 模糊性与人工智能 代数与人工智能 可信度和人工智能 人工智能（包括机器人） 人工智能与数字娱乐 人工智能与教育 人工智能与智慧城市 人工智能应用 学习环境中的人工智能 人机交互 机器人/软机器人和控制应用 知识工程 自然语言处理 视觉和感知 知识获取 图像分析 视频分析 医疗图像处理 智能车辆 知识表示和推理 智能机器人和系统 智能医疗系统 |
Track 2: 智能算法与软计算 人工智能前沿数值计算方法 智能决策的强化学习 数据挖掘 数据融合算法及其应用 图计算与图神经网络 因果学习和可解释性 多粒度认知计算 三元决策与机器学习 计算创造力 计算机科学，一般 进化计算 组合算法实验 自适应系统中的学习 机器学习 神经网络 软计算与进化计算 智能解决方案的算法设计 机器学习应用程序 基于图的人类推理模型 数据和文本挖掘 知识推理，统计学习，深度学习，强化学习 模糊逻辑 |
Track 3: 数学理论与基础 认知建模与计算 概率论与统计学 微分方程及其应用 离散数学与控制 线性代数及其应用 数值分析 运筹学与优化 近似理论 组合数学 可计算性理论 离散几何 矩阵计算 常微分方程 偏微分方程 统计金融 随机过程 金融数学 物理学中的非线性过程 博弈论 图论 线性规划 数学生物学 数学化学 数学经济学 数学物理学 数学心理学 数学社会学 |