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Today's complex systems are required to be able to adapt themselves (their internal structure or behavior), as well as to participate autonomously in larger, self-organizing systems. As a result they should be able to manage themselves without any human intervention – they should be self-managed (including the self-monitoring, self-healing, self-configuration, etc. ? self-*).
Analogously, in our world, enterprises, public institutions or other socio-economic systems manage themselves autonomously. They make decisions on how to adapt their structure and behavior, and how to organize with other entities in the environment, thus creating more complex, self-organizing systems. They are “aware” of their own identity on multiple levels of individuals, teams, organizations and networks and they recognize their capabilities and the status of their current parameters (e.g., financial data or inventory). Based on this self-awareness and autonomy, they make decisions on how to act in a particular situation, how to interact with their environment, and how to coordinate information and actions on global and strategic levels with other actors on local and operative levels.
The goal of this workshop is to address the challenges of the development of Self-Managing Systems by making entities in such a system able to manage and adapt themselves inspired by how organizations manage and adapt themselves in a socio-economic system. We believe that relating these two fields and transferring the knowledge from social and economic sciences can benefit the development of self-managing systems (including self-adaptive and self-organizing systems). In addition, if built upon similar principles to those employed in socio-economic systems, self-managing systems may be more easily integrated into such socio-economic systems and the society in general. The insights from economics, management science, organizational theory and related socio-economic areas leading to self-* properties of socio-economic organizations are of particular interest for this workshop. The inspiration can come through policies, principles, (symbolic) domain models, algorithms, organizational patterns; focusing on the knowledge transfer from socio-economics as well as on the technical realization of these principles within technical, self-managing systems.
The proposed workshop is interesting and beneficiary for a broad and diverse audience of researchers and professionals, spanning the computer science, engineering, cybernetic, socio-economic and mathematical communities. Based on this diversity, a number of areas are of interest to this workshop, including but not limited to complex systems, distributed systems, autonomic computing, networks (e.g., ad hoc, sensor), ubiquitous computing, and even some other complex infrastructures (e.g., complex transport systems, smart grids).
Furthermore, researchers and professionals dealing with social aspects of technical systems in general (e.g. risk analysis, social acceptance, pervasive technologies, human-computer interaction), and interrelations between socio-economic and technical aspects might be interested in exploiting the material covered by the accepted papers regarding their own fields.