Service provision via networked computer-communication infrastructure is always a key factor to ensure the success of the Web development. In the past, developers, and researchers as well, often provide services by predicting what, and how, target users would be expecting. Empirical study, e.g., questionnaire, field study, etc., of course, is conducted to achieve the purpose. But however, reaction time of services on the Web to be updated is way less than expectations from users (i.e., human beings). This issue can be formulated as the more we can understand the human, the more precise services we can provide to our users. Prediction, and/or anticipation, of human beings through the support of artificial intelligence techniques thus becomes an emerging topic to better develop the next-generation Web. What is the difference between prediction and anticipation in Technosocial systems? Is there a common anticipatory feature in biological structures, cultural structures, and technological ones? Humans remain, either individually or collectively, very poorly skilled when it comes to foresee the outcomes of their actions and take inspired decisions. The practice of prediction has made effective progress in the last decades in certain disciplines and thanks to intelligent systems, but mostly as a mechanistic and probabilistic protocol, based on reactive causation and often keeping the human factor out of the loop because of its complexity. Anticipatory system is an implementation to compensate disadvantage of the system with the factors from human. In a view of computing and engineering, anticipatory system is the one that can effectively make the forecasting, where the outcome of the forecasting affects the forecaster, and the one whose current states can be influenced by the future states. Effectual anticipation is a desired model of the future that acts in the present, a way of acting which does not obey the instinct of immediate gratification but uses final causation and deeper aspirations. It is a sensibility for destiny ramifications, the capacity to imagine and project into the future the consequences of our intentions.
This special issue aims at bringing together researchers, engineers, and practitioners from both academia and industry to report, review, and exchange up-to-the-date progress of proper use of artificial intelligence related techniques in the development of well-beings in the Web as well as human society, to explore future research directions, and to prompt better service provision in specific domains for a wider target audience from diverse fields. Original and research articles are solicited in all aspects, including theoretical studies, practical applications, new social technology and experimental prototypes.
Submission Guidelines
Each paper for submission shall strictly follow the instructions given in the “Guide for Authors” at https://www.elsevier.com/journals/computer-communications/0140-3664/guide-for-authors. Note that published papers and those currently under review by other journals or conferences are prohibited. Each paper will be reviewed rigorously by three or more domain experts depending on the decision of assigned associate editor, and possibly in two rounds, i.e., minor/major revisions will undergo another round of review. Prospective authors are invited to submit their papers directly via the online submission system at https://www.evise.com/profile/#/COMCOM/login.
Important Dates
Submission deadline: November 1, 2020
1st round review notification: December 15, 2020
1st revision due: January 15, 2021
2nd round review notification: February 15, 2021
2nd revision due: February 28, 2021
Final decision made by EiC: March 28, 2021
Publication: Q4 2021, Q1 2022
Guest Editors
University of Aizu, Japan
Email: [email protected]
Kyung Hee University, Korea
Email: [email protected]
Huazhong University of Science and Technology, China
Email: [email protected]
Hainan University, China
Email: [email protected]
University PARIS-EST Creteil (UPEC), France
Email: [email protected]
For enquiries, please contact [email protected]