Special Issue "State of the Art of Intelligent Systems Integration in Engineering"
Deadline for manuscript submissions: 30 April 2021.
Interests: cognitive manufacturing; artificial intelligence; Additive Manufacturing; smart manufacturing; production and machine control; soccer fanatic
Engineered systems execute two, function types: cognitive and physical. For thousands of years, humans did both. The first and second Industrial Revolutions (IR) produced new kinds of machines that could perform formerly human-based, physical functions automatically. But it wasn’t the third IR when completely new machines, called computers, began to automate cognitive functions. Automation required physics-based models, software applications to run those models, and digital data that provide the necessary inputs.
As the third IR was winding down, the models, applications, and inputs became more sophisticated and more complicated. The physical automation machines had more capabilities; and, the available cognitive automation, and other information technologies, exploded on the market. But the data needed to use them included only numbers and text. That all changed at the beginning the fourth IR, which is based on new types of data and technologies to collect and process that data. Those technologies include image-based sensors, cloud services, cloud computing, data analytics, and artificial intelligence. These technologies are changing the way we design and control engineered systems. They are automating many more of the cognitive functions associated with those systems. And they are interacting across multiple time scales with new, automated, domain-specific, physical technologies, such as Additive Manufacturing.
This special issue focuses on the state-of-the-art, from both the academic and industrial perspectives, in cognitive automation and hybrid modeling, formerly called integration. These are very timely topic for both researchers, who are developing the science behind them; and, users, who are trying to implement and integrate them into their systems. Topics of interest related to cognitive automation include visualization, human roles, V&V, training and trustworthy AI. Topics in hybrid modeling include verification and validation, data fusion, model composition, and data/model integration, uncertainly propagation, and mathematical foundations for all both.
Dr. Albert T. Jones
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- cognitive automation
- industry 4.0
- physics-based models
- data-driven models
- human operators