Knowledge-Based Systems

Knowledge-Based Systems, an international and interdisciplinary journal in artificial intelligence, publishes original, innovative, and creative research results in the field. It focuses on knowledge-based and other artificial intelligence techniques-based systems. The journal aims to support human prediction and decision-making through data science and computation techniques, provide a balanced coverage of theory and practical study, and encourage the development and implementation of knowledge-based intelligence models, methods, systems, and software tools. Applications in business, government, education, engineering, and healthcare are emphasized.

Knowledge-Based Systems 是一份在人工智能领域具有国际影响力的跨学科刊物，专注于发表该领域内具有原创性、创新性和创造性的研究论文。该期刊的核心关注点是基于知识的方法和技术相结合的人工智能系统，旨在通过先进的数据科学和计算技术来增强人类的预测和决策能力。 Knowledge-Based Systems 致力于在理论研究和实际应用之间取得平衡，报道的内容不仅包括基础理论的研究，也包括实际应用案例的分析。该期刊鼓励学者和研究人员开发、实施和评估基于知识的智能模型、方法、系统和软件工具，以推动人工智能技术的发展和应用。此外，该期刊特别关注人工智能在商业、政府、教育、工程和医疗保健等关键领域的应用。通过发表这些领域的研究成果，该刊为人工智能技术在各行各业的实际应用提供了宝贵的经验和见解。