Announcement

FAS* and SASO 2017 will take place at University of Arizona, Tucson, AZ, September 18-22, 2017.

Welcome

The 2016 edition of the SASO conference series will be held in Augsburg, Germany, in the week of September 12-16, 2016. SASO is part of FAS*, a common umbrella for two closely related but independent conferences (SASO and ICCAC) with shared events including workshops, tutorials, doctoral symposia, the Special Track on Trustworthy Open Self-Organising Systems, etc.

The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. The complexity of current and emerging networks, software and services, especially in dealing with dynamics in the environment and problem domain, has led the software engineering, distributed systems and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing such computing systems. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches. Many significant research problems exist related to self-adaptive or self-organizing systems. A challenge in self-adaptation is often to identify how to change specific behavior to achieve the desired improvement. Another major challenge is to predict and control the global system behavior resulting from self-organization. Yet more challenges arise from the confluence of self-adaptation with self-organization. For instance, how do self-* mechanisms that work well independently operate in combination? How are meso-level structures formed which leverage micro-level behavior to achieve desirable macro-level outcomes, and avoid undesirable ones?

The tenth edition of the SASO conference embraces the inter-disciplinarity and the scientific, empirical and application dimensions of self-* systems; it thus aims to attract participants with different backgrounds, to foster cross-pollination between research fields, and to expose and discuss innovative theories, design principles, frameworks, methodologies, tools, and applications.

Topics

The topics of interest to SASO include, but are not limited to:

• Systems theory: theoretical frameworks and models; biologically- and socially-inspired paradigms; inter-operation of self-* mechanisms;
• Systems techniques: techniques to specify and analyze self-* systems, like statistical physics, machine learning, multi-agent systems, or other novel techniques;
• Systems engineering: reusable mechanisms, design patterns, architectures, methodologies; software and middleware development frameworks and methods, platforms
and toolkits; hardware; self-* materials; governance of self-* systems, emergent behavior in self-* systems;
• System properties: robustness, resilience, and stability; emergence; computational awareness and self-awareness; reflection; anti-fragility;
• Cyber-physical and socio-technical systems: human factors and visualization; self-* social computers; crowdsourcing and collective awareness; human-in-the-loop;
• Data-driven approaches: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage behavior of complex systems;
• Education: experience reports; curricula; innovative course concepts; methodological aspects of self-* systems education;
• Ethics and Humanities in self-* systems;
• Applications and experiences with self-* systems in any of the following domains:
  • Smart-*: application of self-* principles to smart-grids, smart-cities, smart-environments, smart-vehicles
  • Industrial automation: embedded self-* systems, adaptive industrial plants, smart industries (Industry 4.0)
  • Transportation: autonomous vehicles, coordination between vehicles, pedestrians, and infrastructure, and traffic optimization
  • Unmanned systems: aerial vehicles, undersea vehicles, other robotic platforms
  • Internet of Things: challenges, applications, and benefits; self-* for network management, self-* applied to Cybersecurity

Awards

Best Paper Award

Jacob Beal, Mirko Viroli, Danilo Pianini and Ferruccio Damiani. Self-Adaptation to Device Distribution Changes

Best Student Paper Award

Fernando Silva, Luís Correia, and Anders Lyhne Christensen. Online Hyper-Evolution of Controllers in Multirobot Systems

Best Student Paper Award

Patricio E. Petruzzi, Jeremy Pitt, and Dídac Busquets. Inter-institutional Social Capital for Self-Organising 'Nested Enterprises'

Best Poster/Demo Award

David Sanderson, Jack Chaplin, Lavindra de Silva, Paul Holmes and Svetan Ratchev. Smart Manufacturing and Reconfigurable Technologies: Towards an Integrated Environment for Evolvable Assembly Systems

Best Doctoral Symposium Paper Award

Christopher-Eyk Hrabia. A Framework for Adaptive and Goal-Driven Behaviour Control of Multi-Robot Systems

Sponsors

In Cooperation

Local Partner