先进的计算方法和相关技术正在改变工程师与信息基础设施的交互方式。明确的知识表示形式和新的推理技术不再是计算机科学的唯一领域。对于工程中的知识密集型任务，一种称为工程信息学的新哲学和知识体系正在出现。高级工程信息学以“知识”和“工程应用”为重点，征集研究论文。作为国际期刊，原始论文通常：?报告应用工程信息学方法的工程学科进展。?具有工程相关性，有助于提供科学基础，使工程决策更加可靠、自发和创造性。?包含新的研究，证明支持知识密集型工程任务的科学性。?通过有力的评估（最好是定性和定量评估），验证新方法的通用性、能力和可扩展性。此外，该杂志欢迎高质量的评论文章，总结、比较和评估为工程信息学领域提出的方法和表示。同样，欢迎对全面应用进行总结和比较，特别是那些科学缺陷阻碍了成功的应用。通常，这些论文扩大了文献评论和对反映对当前知识体系掌握程度的研究结果的讨论，并提出了对当代研究的新补充。缺少明确表达和使用知识的论文，例如那些描述软计算技术、数学优化方法、模式识别技术和数值计算方法的论文，通常不适合在期刊上发表。论文必须用自动化和支持以人工制品为中心的工程领域（如机械、制造、建筑、土木、电气、运输、环境和化学工程）的知识密集型任务的例子来说明贡献。只有在与先前报告的验证结果相比，能够令人信服地证明值得注意的新功能、通用性或可扩展性的情况下，才有资格向新的工程子域报告已建立方法的应用。最后，仅讨论软件工程问题的论文不在本杂志的范围内。
Advanced computing methods and related technologies are changing the way engineers interact with the information infrastructure. Explicit knowledge representation formalisms and new reasoning techniques are no longer the sole territory of computer science. For knowledge-intensive tasks in engineering, a new philosophy and body of knowledge called Engineering Informatics is emerging.Advanced Engineering Informatics solicits research papers with particular emphases both on 'knowledge' and 'engineering applications'. As an international Journal, original papers typically:? Report progress in the engineering discipline of applying methods of engineering informatics.? Have engineering relevance and help provide the scientific base to make engineering decision-making more reliable, spontaneous and creative.? Contain novel research that demonstrates the science of supporting knowledge-intensive engineering tasks.? Validate the generality, power and scalability of new methods through vigorous evaluation, preferably both qualitatively and quantitatively.In addition, the Journal welcomes high quality review articles that summarise, compare, and evaluate methodologies and representations that are proposed for the field of engineering informatics. Similarly, summaries and comparisons of full-scale applications are welcomed, particularly those where scientific shortcomings have hindered success. Typically, such papers have expanded literature reviews and discussion of findings that reflect mastery of the current body of knowledge and propose novel additions to contemporary research.Papers missing explicit representation and use of knowledge, such as those describing soft computing techniques, mathematical optimization methods, pattern recognition techniques, and numerical computation methods, do not normally qualify for publication in the Journal. Papers must illustrate contributions using examples of automating and supporting knowledge intensive tasks in artifacts-centered engineering fields such as mechanical, manufacturing, architecture, civil, electrical, transportation, environmental, and chemical engineering. Papers that report application of an established method to a new engineering subdomain will qualify only if they convincingly demonstrate noteworthy new power, generality or scalability in comparison with previously reported validation results. Finally, papers that discuss software engineering issues only are not in the scope of this journal.