The aim of the Self–Adaptive and Self–Organizing Systems conference series (SASO) is to provide a forum for the presentation and discussion of research on the foundations of engineered systems that self–adapt and self–organize. The complexity of current and emerging networks, software, and services can be characterized by issues such as scale, heterogeneity, openness, and dynamics in the environment. This 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, chemistry, psychology, sociology, and biology) to find new ways of designing and managing such computing systems in a principled way. In this endeavor, self–organization and self–adaptation have emerged as two promising interrelated approaches. They form the basis for many other so–called self–* properties, such as self–configuration, self–healing, or self–optimization.<br>SASO aims to be an interdisciplinary meeting, where contributions from participants with different backgrounds leads to the fostering of a cross–pollination of ideas, and where innovative theories, frameworks, methodologies, tools, and applications can emerge.<br>The eleventh edition of the SASO conference embraces this inter–disciplinary nature, and welcomes novel contributions to both the foundational and application–focused dimensions of self–adaptive and self–organizing systems research.<br>The topics of interest include, but are not limited to:<br>– Systems theory: nature–inspired and socially–inspired paradigms and heuristics; inter–operation of<br>self–* mechanisms; theoretical frameworks and models; control theory;<br>– System properties: robustness; resilience; stability; anti–fragility; diversity; self–reference and reflection; emergent behavior; computational awareness and self–awareness;<br>– Systems engineering: reusable mechanisms and algorithms; design patterns; architectures; methodologies; software and middleware development frameworks and methods; platforms and toolkits; multi–agent systems;<br>– Theory and practice of organization: self–governance, change management, electronic institutions, distributed consensus, commons, knowledge management, and the general use of rules, policies, etc. in self–* systems<br>– Theory and practice of adaptation: mechanisms for adaptation, including evolution, logic, learning; adaptability, plasticity, flexibility<br>– Socio–technical systems: human and social factors; visualization; crowdsourcing and collective awareness; humans–in–the–loop; ethics and humanities in self–* systems;<br>– Data–driven approaches: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage behavior of complex systems;<br>– Self–adaptive and self–organizing hardware: self–* materials; self–construction; reconfigurable hardware;<br>– Education: experience reports; curricula; innovative course concepts; methodological aspects of self–* systems education;<br>Applications and experiences with self–* systems in any of the following domains are of particular interest:<br>+ Smart systems: smart grids, smart cities, smart environments, smart homes, etc.<br>+ Industrial automation: embedded self–* systems, adaptive industrial plants, Industry 4.0, cyber physical systems<br>+ Transportation: autonomous vehicles, traffic optimization<br>+ Autonomous systems: aerial vehicles, undersea vehicles, autonomous robotics<br>+ Internet of Things: self–* for network management, self–* applied to cyber security<br>We are looking for contributions that present new fundamental understanding of self–adaptive and self–organizing systems and how they can be engineered and used, including: novel theoretical or experimental results, novel design patterns, mechanisms, system architectures, frameworks, tools, and practical experiences in building or deploying systems and applications. Contributions contrasting different approaches for engineering a given family of systems, or demonstrating the applicability of a certain approach for different systems, are equally encouraged. Likewise, papers describing substantial innovation or insights in the use and communication of self–* systems in the classroom are welcome.<br>
Abbrevation
SASO
City
Tucson
Country
United States
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