The design and operation of computer systems has traditionally been driven by technical aspects and considerations. However, the usage characteristics of information and communication systems are both implicitly and explicitly determined by social interaction and the social graph of users. This aspect is becoming more and more evident with the increasing popularity of social network applications on the internet. This workshop will address all aspects of self-adaptive and self-organising mechanisms in socio-technical systems, covering different perspectives of this exciting research area ranging from normative and trust management systems to socio-inspired design strategies for distributed algorithms, collaboration platforms and communication protocols.
SASOST systems require a highly interdisciplinary approach, and the establishment of a research community around the creation of such systems is one of the workshop's key objectives. For this purpose, the workshop brings together experts from areas such as distributed computer systems, complex systems, and the social sciences to present findings and elaborate on the topic in the following complementary topical sections as well as open panel discussion rounds.
Trust and norms in self-organising and autonomous systems
Trust and reputation management in autonomous self-organising systems
Metrics of trust and specialised metrics for single trust facets
Evaluations of the effects of trust in self-organising and autonomous systems
Analysis of threats to self-organising and autonomous systems
Trust-based algorithms and mechanisms to deal with uncertainty in self-organising systems
Self-organising norm-governed systems
Representation of and reasoning about computational laws
Socially adaptive and socio-aware information and communication systems
Socio-aware overlay topologies
Analysis, modelling and control of information spreading, opinion formation phenomena and collective user behaviour in online social networks and distributed computer systems
Socially adaptive, scalable content distribution
Real-time monitoring and prediction of collective user dynamics
Social adaptation of network protocols and topologies
Simulation and evaluation of interactive networked computing systems with socio-aware behavioural models
Utilisation of social structures for the scalable provision of distributed virtual environments and in application-level routing schemes for Peer-to-Peer, wireless ad-hoc or delay tolerant networks
Socially-inspired algorithms and network topologies for distributed search, consensus, gossiping etc.
09月16日
2016
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