The area of Social Computing encompasses a large variety of approaches to study social behaviour and social context by computational means. It also includes methods to design technologies for gathering, representation, processing and dissemination of information in social systems. With the rapid development of information and communication technologies, the complexity and diversity of social structures and dynamics have been increasing significantly. To analyse existing and prospective social systems and to support their actors, multi-disciplinary approaches and tools are required that account for the (high) complexity and heterogeneity of social context. As has been demonstrated by many studies, the agent paradigm provides a promising basis for such approaches and applications. This interdisciplinary special session provides a platform for researchers and practitioners from computer science, social and behavioural science, psychology, information systems to exchange ideas and results on various aspects of agent enabled social computing. Papers are solicited both on theories and applications.
Topics of interests include, but are not limited to:The papers will be reviewed by KES AMSTA International Program Committee. The best submissions will be selected for presentation and will be included in the symposium proceedings. The papers should present original and unpublished research. The symposium proceedings are planned to be published and distributed by Springer Verlag in series LNCS/LNAI. Papers should be prepared in LNCS/LNAI style and should be limited to 10 pages. All submissions must be sent electronically using the PROSE software review system. More information can be found at: http://amsta-10.kesinternational.org/submission.php
A selected number of accepted and personally presented papers will be expanded and revised for possible inclusion in special issues in the several prestigious international journals.
Important Dates
Daniel Moldt, University of Hamburg, Germany (moldt at informatik dot uni-hamburg dot de)
Alexei Sharpanskykh, VU University Amsterdam, the Netherlands (sharp at few dot vu dot nl)