Artificial Intelligence (AI) techniques are now being used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering.Focal points of the journal include, but are not limited to innovative applications of:? Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics, ? Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control, ? Decision-support systems, ? Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning, ? Applications of chaos theory and fractals, ? Metaheuristics and their applications in intelligent automation and global optimization: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired metaheuristics, etc.,? Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems, ? Neural networks, fuzzy systems, neuro-fuzzy systems, ? Deep learning and real world applications,? Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis, ? Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability,? Intelligent fault detection, fault analysis, diagnostics and monitoring, ? Self-organizing, emerging or bio-inspired system, ? Big data analytics, Understanding complex networks, Internet-of-things and cyber-physical systems, Intelligent transportation systems & smart vehicles? Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises.Engineering Applications of Artificial Intelligence publishes:? Survey papers/tutorials. ? Contributed papers — detailed expositions of new research or applications. ? Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications. ? IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature.

人工智能（AI）技術現在正被執業工程師用來解決一系列迄今為止難以解決的問題。本雜志提供了一個國際論壇，用于快速出版描述人工智能方法在所有工程分支中的實際應用的工作。該期刊的重點包括但不限于以下創新應用：?實時智能自動化及其相關支持方法和技術，包括控制理論和工業信息學，?分布式人工智能系統的架構、算法和技術，包括基于多智能體的控制和全息控制，?決策支持系統，?推理方面：誘拐性、基于案例、基于模型、非單調、不完整、漸進和近似推理，?混沌理論和分形理論的應用，?元啟發式及其在智能自動化和全局優化中的應用：進化算法、群體智能、自然和生物啟發的元啟發式等。?知識處理、知識獲取和獲取、知識表示、知識壓縮、知識庫、專家系統，?神經網絡、模糊系統、神經模糊系統，?深入學習和現實應用，?感知，例如圖像處理、模式識別、視覺系統、觸覺系統、語音識別和合成，?軟件工程方面，例如智能編程環境、基于人工智能的軟件、軟件和硬件架構的驗證和驗證，以便實時使用人工智能技術、安全性和可靠性，?智能故障檢測、故障分析、診斷和監控，?自組織、新興或生物啟發系統，?大數據分析，了解復雜網絡、物聯網和網絡物理系統、智能交通系統和智能車輛?應用上述技術的行業經驗，例如案例研究或基準測試。人工智能的工程應用出版：?調查論文/教程。?貢獻論文-新研究或應用的詳細說明。?案例研究或軟件審查——對現有可用人工智能軟件系統進行評估和描述性審查，討論從使用或開發工程應用人工智能系統中獲得的經驗和教訓。?IFAC EAAI論壇-由工程實踐引起的問題，需要有人解決；本論壇或其他地方討論的問題的解決方案；對文獻中發現的立場或主張的評論。