We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
Guest Editors: Serge Rohmer, Nada Matta, Tatiana Reyes-Carillo, Nadege Troussier
This issue deals with research studies and cognitive and learning processes for DfS (Design for Sustainability) from engineering, companies, consumer, society, point of views. Its aims is to gather: empirical and experimental studies, foundational theories, learning methods and tools.
Suitable topics include (but are not limited to) the following:
All submissions will be anonymously reviewed by at least three reviewers. The selection for publication would be made on the basis of these reviews.
Information about the format and style required for AIEDAM papers, as well as about submission, can be found at: https://www.cambridge.org/core...
Note that all queries and information about submissions for special issues should be addressed to the Guest Editors, and not to the Editor in Chief. Please submit your paper through the ScholarOne system online at: http://mc.manuscriptcentral.com/aie
You need to create a user account first if you are a new user. During your submission process, pay attention to the following two steps:
| Intend to submit (Title & Abstract) | As soon as possible |
| Submission deadline for full papers | 30 Aug 2018 |
| Reviews due | 1 Oct 2018 |
| Notification & reviews due to authors | 30 Nov 2018 |
| Revised version submission deadline | 30 Jan 2019 |
| Second round of reviews due | 15 April 2019 |
| Final version due | 15 May 2019 |
| Issue Appears | July 2019 |
| Prof. Serge Rohmer | UTT France | Email: ,<serge.rohmer@utt.fr> |
| Prof. Nada Matta | UTT France | Email: <nada.matta@utt.fr> |
| Prof. Tatiana Reyes-Carillo | UTT France | Email: <tatiana.reyes@utt.fr> |
| Prof. Nadege Troussier | UTT France | Email: <nadege.troussier@utt.fr> |
Guest Editors: Gaetano Cascini & Francesca Montagna
This special issue of AIEDAM aims to present state-of-the-art research in design computing and cognition starting but not limited to contributions presented at DCC'18, the Eighth International Conference on Design Computing & Cognition (http://dccconferences.org/dcc18/).
One of the foundations for change in our society comes from design. The need for designing is led by a society's view that considers design can improve or add value to human existence well beyond simple subsistence. Everything potentially might be designed, every time the world around us either is unsuited to our needs or can be improved. In this sense, the world is increasingly ‘artificial’ rather than a naturally occurring one. Designing is a fundamental precursor to manufacturing, fabrication, construction or implementation and Design is a fundamentally important topic in disciplines ranging from the more commonly associated fields of engineering, information technology and architecture, to emerging areas in the social and life sciences. Design research follows three epistemological axes (Cross, 2001): “science of design” views the design process as a phenomenon to be studied scientifically, assuming academic perspectives that can range from psychology to ethnography and from cognitive to organizational science “design science” has the aim of developing scientifically-based, domain-independent, methods and tools to improve design action. “scientific design” employs results from the natural and social sciences - both fundamental and applied - to engineering and architecture. All these three axes get benefit from a more profound understanding of designing through the study of the occurring cognitive processes or through representative computational models. Therefore, in a general perspective, design research can be viewed as largely an empirical endeavour in which experiments are designed and executed in order to test hypotheses about possible design phenomenon or design behaviour. This is the approach adopted in cognitive science. The results of such research can form the basis of a computational model. A second view is that design research can be carried out by positing axioms and then deriving consequences from them. If the axioms can be mapped onto design situations, then the consequences should follow. This is the approach adopted in mathematics and logic and forms the basis of a small but powerful area in design research. A third view, and the most common one in the computational domain, is that design research can be carried out by conjecturing design processes, constructing computational models of those processes and then examining the behaviours of the resulting computational systems.
This special issue intends to recognize not only the essential relationship between human cognitive processes as models of computation but also how models of computation inspire conceptual realizations of human cognition in any of the above-mentioned perspectives of design research. Topics in design computing and cognition include, but are not limited to:
All DCC'18 contributors including plenary session paper, poster, and workshop authors are warmly invited to submit significantly revised and extended papers, or completely new papers. Note that conference papers must not be resubmitted unchanged as they are already covered by publisher's copyright. The call is open to all authors who have valuable research achievements to share on the topics of the special issue. Submissions are not open to people who did not take part in the conference. All submissions will be anonymously reviewed by at least three expert reviewers, and a selection for publication made on the basis of these reviews.
All submissions will be anonymously reviewed by at least three reviewers. The selection for publication would be made on the basis of these reviews.
Information about the format and style required for AIEDAM papers, as well as about submission, can be found at: https://www.cambridge.org/core/journals/ai-edam/information/instructions-contributors
Note that all queries and information about submissions for special issues should be addressed to the Guest Editors, and not to the Editor in Chief. Please submit your paper through the ScholarOne system online at: http://mc.manuscriptcentral.com/aie You need to create a user account first if you are a new user. During your submission process, pay attention to the following two steps:
| Intend to submit (Title & Abstract) | As soon as possible |
| Submission deadline for full papers | 1 February 2019 |
| Reviews due | 31 March 2019 |
| Notification & reviews due to authors | 10 April 2019 |
| Revisions and Reviews | April-October 2019 |
| Final version due | 01 November 2019 |
| Online Publication | Immediately upon acceptance |
| Issue Appears | April 2020 |
| Prof. Gaetano Cascini | Department of Mechanical Engineering | Pollitecnico di Milano, Italy | Email: <gaetano.cascini@polimi.it> |
| Prof. Francesca Montagna | Department of Management and Production Engineering | Politecnico di Torino,Italy | Email: <francesca.montagna@polito.it> |
Guest Editors: Chris McMahon, Ali Gürcan Özkil, Stanko Škec
This special issue of AI EDAM will be devoted to papers concerned with design workspaces, and by their role as drivers for creative and innovative behaviour and outputs. Design activities may be highly influenced by the environments in which they take place, and by the equipment provided in those environments, where the spaces may be both physical and virtual. The space can be influential because it provides the right ambiance, or it facilitates, experimentation, communication and shared working. It may be important in the ideas it stimulates or because it provides a location for reflection and contemplation. The topic has been of particular interest for many years in design education, but increasingly it is seen as important in industrial and research contexts.
This special issue seeks original research studies of design workspaces in operation, and of the design of experimental spaces and facilities. Topics that will be welcomed include but are not limited to:
All submissions will be anonymously reviewed by at least three reviewers. The selection for publication would be made on the basis of these reviews.
Information about the format and style required for AIEDAM papers, as well as about submission, can be found at: https://www.cambridge.org/core/journals/ai-edam/information/instructions-contributors
Note that all queries and information about submissions for special issues should be addressed to the Guest Editors, and not to the Editor in Chief. Please submit your paper through the ScholarOne system online at: http://mc.manuscriptcentral.com/aie You need to create a user account first if you are a new user. During your submission process, pay attention to the following two steps:
| Intend to submit (Title & Abstract) | As soon as possible |
| Submission deadline for full papers | 30 August 2019 |
| Reviews due | 1 October 2019 |
| Notification & reviews due to authors | 30 November 2019 |
| Revised version submission deadline | 30 January 2019 |
| Second round of reviews due | 15 April 2020 |
| Final version due | 15 May 2020 |
| Issue Appears | July 2020 |
| Professor Chris McMahon | Department of Mechanical Engineering | Technical University of Denmark | Email: <chmcm@mek.dtu.dk> |
| Associate Professor Ali Gürcan Özkil | Department of Mechanical Engineering | Technical University of Denmark | Email:<alio@mek.dtu.dk> |
| Assistant Professor Stanko Škec | Faculty of Mechanical Engineering and Naval Architecture | University of Zagreb | Email: <stanko.skec@fsb.hr> |
Guest Editors: Yong Zeng, Imre Horváth, Ying Liu, Joshua D. Summers, Yan Li
Functions and affordances have long been thought of as two core important concepts in design. Recent system science, artificial intelligence and CAD/E technologies are making it possible to design smart systems. Their cognitive capabilities make possible for them to proactively interact with the objects and processes of the environment, and even (self-) manage their objectives, architecture, operations and servicing according to the changing conditions.
In addition to natural and produced objects and the established processes, the environment typically includes human stakeholders. These together form the contexts in which a system is situated. It is an essential (paradigmatic) feature of smart systems that they build awareness, learn and reason in contexts, make decisions, and purposefully adapt themselves. In the process of adaptation, they not only alter and utilize their functionality, but may also decide on utilizing affordances depending on the situation.
What it implies is that functionalities and affordances of smart systems cannot be described exhaustively in the design phase. On the other hand, smart systems are supposed to be equipped with proper knowledge acquisition and reasoning mechanisms, and to possess and manage available and at run-time obtained resources.
Several methodologies have been proposed to support designing smart systems. One widely-used representative is the V-model, and its many variants. The kernel concepts of this methodology are model-based design and component-based implementation. While it proved to be efficient for composable (software-integrated) systems, it was found restricted in the case of designing compositional (knowledge-integrated) smart systems, such as self-adaptive cyber-physical systems. Their cognitive engineering is not supported sufficiently by the conventional frameworks, methodologies, and tools. Alongside, the conceptual frameworks of product design methodologies have also evolved from product-centered approaches, through function and affordance-centered approaches, to user-centered and environment-centered approaches. Different kinds of knowledge constructs and reasoning strategies are associated with the different design methodologies and with the product and service design methods.
The innovation of design methodologies has always been going hand by hand with the development of artificial intelligence (AI) technologies since their advent in the 1960’s. Thus, smart designing of smart systems is a natural outcome of the recent development of system science, cyber-physical technologies, and relevant AI technologies, such as machine learning and deep learning.
This proposed AIEDAM special issue, entitled Smart Designing of Smart Systems, will focus on knowledge discovery, system architecting, situated reasoning, and resource management enabled adaptation mechanisms for smart designing of smart systems. The Special Issue encourages releasing innovative findings related to data collection, modeling, analytics, and applications for public debate, together with the abovementioned aspects of designing compositional smart systems.
Topics will cover but are not limited to:
All submissions will be anonymously reviewed by at least three reviewers. The selection for publication would be made on the basis of these reviews.
Information about the format and style required for AIEDAM papers, as well as about submission, can be found at: https://www.cambridge.org/core/journals/ai-edam/information/instructions-contributors
Note that all queries and information about submissions for special issues should be addressed to the Guest Editors, and not to the Editor in Chief. Please submit your paper through the ScholarOne system online at: http://mc.manuscriptcentral.com/aie You need to create a user account first if you are a new user. During your submission process, pay attention to the following two steps:
| Intend to submit (Title & Abstract) | As soon as possible |
| Submission deadline for full papers | 30th May 2020 |
| Reviews due | 30th June 2020 |
| Notification & reviews due to authors | 15th July 2020 |
| Revised version submission deadline | 15th August 2020 |
| Second round of reviews due | 30th September 2020 |
| Final version due | 30th October 2020 |
| Issue Appears | Summer 2021 |
| Prof. Yong Zeng | Concordia University, Canada | Email: <yong.zeng@concordia.ca> |
| Prof. Imre Horváth | TU Delft, Netherlands | Email: <i.horvath@tudelft.nl> |
| Prof. Ying Liu | Cardiff University, UK | Email: <liuy81@cardiff.ac.uk> |
| Prof. Joshua D. Summers | Clemson University,USA | Email: <jsummer@clemson.edu> |
| Prof. Yan Li | Sichuan University,China | Email: <liyan@scu.edu.cn> |
Emerging smart technologies, such as artificial intelligence (AI), automatization, machine vision, big data science and analytics and robotics are introduced and utilised as tools and medias to meet highly-customised on-demand manufacturing requirements. Robots have been used as an intelligent tool who can perceive, think and response to the environment. Since the robots have become increasingly smart, they are being employed in various industrial applications. Current manufacturing industry requires a natural, smooth and efficient coordination between the human operators and the machines. Therefore, collaborative robotics and all the enabling technologies of the current industrial transformation have revolutionised manufacturing patterns. Exploration in both academia and industry plays a significant role so that collaborative robotics can benefit for the competitiveness of manufacturers and the quality of the operators' work. However, there is still a great potential for the scientific researchers to explore and develop, for example innovative collaboration approaches, novel fields of application and integration of intelligent systems, etc.
The objective of this thematic collection will be to enhance the understanding of intelligent human-robot interaction and collaboration and to present the state-of-the-art, development of new techniques, methods and systems to improve the perception of machine and allows for natural body interactions in human-robot partnerships.
Topics include but not limited to the following:
Information about the format and style required for AI EDAM papers, as well as about submission, can be found at: https://www.cambridge.org/core/journals/ai-edam/information/instructions-contributors
Note that all queries and information about submissions for thematic collections should be addressed to the Guest Editors, and not to the Editor in Chief. Please submit your paper through the ScholarOne system online at: http://mc.manuscriptcentral.com/aie You need to create a user account first if you are a new user. During your submission process, note that you will need to answer the question: "Are you submitting to a Thematic Collection?", and you will need to choose "Industrial Intelligent Technologies" from the drop-down list.
| Intend to submit (Title & Abstract) | 30th March 2021 |
| Submission deadline for full papers | 31st May 2021 |
| Reviews due | 30th May 2021 |
| Notification & reviews due to authors | 30th June 2021 |
| Revised version submission deadline | 16th July 2021 |
| Second round of reviews due | 16th August 2021 |
| Final version due | 6th September 2021 |
| Issue Appears | Spring 2022 |
| Prof. Jinsong Bao | Donghua University, China | Email: <bao@dhu.edu.cn> |
| Prof. Dan Zhang | York University, Canada | Email: <dzhang99@yorku.ca> |
| Prof. Irene Fassi | STIIMA-CNR, Italy | Email: <irene.fassi@stiimacnr.it> |
| Prof. Xi (Vincent) Wang | KTH Sweden | Email: <wangxi@kth.se> |
| Prof. Xuechao Duan | Xidian University, China | Email: <xchduan@xidian.edu.cn> |