AI Open Impact Factor, Indexing, Ranking 2024

AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications.Topics covered include, but are not limited to: Deep learning and representation learning Graph theory and graph mining Constraints, satisfiability, and search Knowledge representation, reasoning, and logic Machine learning and data mining Knowledge graph and applications Agent-based and multi-agent systems Web and knowledge-based information systems Natural language processing Image processing and analysis Uncertainty Brain-based Learning Implicit Cognition and LearningHuman Brain Research: Hot topics in human brain-related health/diseases/social behavior Brain Connectivity and network modeling Brain intelligence paradigms Neuro-informatics Neuroimaging Learning and memory Cognition and behavior health data analysis and statistics Neuroimmunology Sleep behavior Deep brain stimulation

AI Open 是一个开放获取平台，旨在共享关于人工智能理论及其应用的实用知识及前瞻性观点。该期刊欢迎关于人工智能及其应用的各个方面，包括但不限于以下主题：深度学习与表征学习、图论与图挖掘、约束、可满足性与搜索、知识表示、推理与逻辑、机器学习与数据挖掘、知识图谱及其应用、基于代理的多代理系统、基于网络与知识的信息系统、自然语言处理、图像处理与分析、不确定性、基于脑的学习、隐式认知与学习、人脑研究：人脑相关健康/疾病/社会行为的热点话题、脑连接性与网络建模、脑智能范式、神经信息学、神经影像学、学习与记忆、认知与行为健康数据分析与统计学、神经免疫学、睡眠行为、深部脑刺激。