ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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）技术现在正被执业工程师用来解决一系列迄今为止难以解决的问题。本杂志提供了一个国际论坛，用于快速出版描述人工智能方法在所有工程分支中的实际应用的工作。该期刊的重点包括但不限于以下创新应用：?实时智能自动化及其相关支持方法和技术，包括控制理论和工业信息学，?分布式人工智能系统的架构、算法和技术，包括基于多智能体的控制和全息控制，?决策支持系统，?推理方面：诱拐性、基于案例、基于模型、非单调、不完整、渐进和近似推理，?混沌理论和分形理论的应用，?元启发式及其在智能自动化和全局优化中的应用：进化算法、群体智能、自然和生物启发的元启发式等。?知识处理、知识获取和获取、知识表示、知识压缩、知识库、专家系统，?神经网络、模糊系统、神经模糊系统，?深入学习和现实应用，?感知，例如图像处理、模式识别、视觉系统、触觉系统、语音识别和合成，?软件工程方面，例如智能编程环境、基于人工智能的软件、软件和硬件架构的验证和验证，以便实时使用人工智能技术、安全性和可靠性，?智能故障检测、故障分析、诊断和监控，?自组织、新兴或生物启发系统，?大数据分析，了解复杂网络、物联网和网络物理系统、智能交通系统和智能车辆?应用上述技术的行业经验，例如案例研究或基准测试。人工智能的工程应用出版：?调查论文/教程。?贡献论文-新研究或应用的详细说明。?案例研究或软件审查——对现有可用人工智能软件系统进行评估和描述性审查，讨论从使用或开发工程应用人工智能系统中获得的经验和教训。?IFAC EAAI论坛-由工程实践引起的问题，需要有人解决；本论坛或其他地方讨论的问题的解决方案；对文献中发现的立场或主张的评论。