Many of the systems that can be found in our environment can be modelled as complex adaptive systems that consist of a dynamic network of agents (which may represent individuals, businesses, services, resources) that perform a set of activities in parallel and react to what other agents are doing. Multi-agent systems are considered a suitable tool for the study of complex adaptive systems and specially those distributed and dynamic. The Workshop MAS for Complex Networks and Social Computation is focused on providing a forum in which researchers from many disciplines and methodological backgrounds discuss ideas, research questions, recent results, and future challenges in this emerging area of research and public interest.
Complex Networks, Network Analysis, Social Systems, Multi-Agent Systems
Specific topics for this workshop include, but are not limited to:
- Social computing
- Complex networks
- Bio-inspired complex systems
- Social network analysis
- Sensor networks
- Urban systems and networks
- Self-organizing dynamics on complex networks
- Social contagion processes
- Collective belief formation and revision
- Information diffusion
- Group formation, evolution and behavior analysis.
- Community detection
- Social simulation, cultural, opinion, and normative dynamics.
- Agent-based simulation of social systems.
- Search in complex networks
- Incentives and complexity in social networks
- Social problem solving
- Complex network robustness and vulnerability
- Vicente Botti
- Elena Del Val
Elena Del Val