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ACSOS 2020
Mon 17 - Fri 21 August 2020 Location to be announced

We are proud to include three high-profile keynotes into our program:

Hiroki Sayama — Self-Organization of Society: Fragmentation, Disagreement, and How to Overcome Those

Hiroki Sayama

Abstract: Social fragmentation and widening disagreement among constituents have become a highly relevant and critical issue in our modern society. Such a trend may be understood as a consequence of (undesired) social self-organization facilitated by various sociopolitical and technological factors. In this talk, we will review our three recent modeling projects on this subject, addressing (1) formation of extreme ideas and social fragmentation caused by social conformity and homophily in adaptive social networks, (2) intensified disagreement among opinionated groups due to people’s enhanced ability of information gathering, and (3) how those problems might be overcome by social constituent diversity.

Biography: Hiroki Sayama is a Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York, USA. He also holds a non-tenured Professorship in the School of Commerce at Waseda University, Japan. His research interests include complex dynamical networks, human and social dynamics, collective behaviors, artificial life/chemistry, interactive systems, and complex systems education, among others. He is an expert of mathematical/computational modeling and analysis of various complex systems. He has published more than 180 peer-reviewed journal articles and conference proceedings papers and has written or edited 14 books and conference proceedings about complex systems related topics. His open-access textbook on complex systems modeling and analysis (http://tinyurl.com/imacsbook) has been downloaded more than 57,000 times globally and has become one of the standard textbooks on this subject. He currently serves as an elected Council and Executive Committee member of the Complex Systems Society (CSS), the Chief Editor of Complexity (Wiley/Hindawi), an Associate Editor of Artificial Life (MIT Press), and as an editorial board member for several other journals.

Susan Stepney — Cyber-bio-physical systems engineering, or: can we grow a skyscraper?

Susan Stepney

Abstract: Today’s artefacts, from small devices to buildings and cities, are cyber-physical systems, with tightly interwoven material and computational parts. Currently, we build such systems, laboriously placing material components, laboriously programming computational ones, laboriously integrating the parts, laboriously maintaining the resulting structures, component by component. The results are often difficult to maintain, change, and reconfigure. Even “soft”ware is brittle and non-trivial to adapt and change.

The picture is different if we look to nature. Trees grow, adapting their form and function to the environmental conditions, and trees self-repair, using the same mechanisms as for growth. These properties allow trees to be gardened—planted, fed, pruned, trained—to meet human needs.

Adding in natural processes, or nature-inspired processes, result in cyber-bio-physical systems (which we dub zoetic systems, for short). Here I will discuss what such zoetic systems might look like, and outline a conceptual unconventional embodied computational architecture framework. This is based on a plant growth metaphor, for evolving and engineering zoetic ‘seeds’, then growing these seeds into mature zoetic systems, and gardening the physically growing systems in order to adapt them to specific needs. With such an approach, could we grow a skyscraper?

Biography: Susan Stepney is Professor of Computer Science and Director of the York Cross-disciplinary Centre for Systems Analysis at the University of York, UK. After starting as an astrophysicist, she moved to industrial R&D, working in formal methods for 18 years. In 2002 she returned to academia, and is now researching topics in unconventional computing and artificial life that focus on computation related to complex biological and physical processes.