Description
| Title | Understanding the emerging dynamics in complex agent-based dynamic networks |
| Abstract | In this talk I’ll propose methods for analysis of agent-based social contagion models with underlying dynamic networks of different types (scale-free, random). Such models may be used to describe social decision making, opinion formation, spread of diseases and innovation. An essential feature of social contagion models with dynamic links is the ability to form clusters. I’ll discuss how clustering of agents can be investigated by simulation, analytically and by model abstraction. |
Other presentations by Alexei Sharpanskykh
| Date | Title |
|---|---|
| 30 October 2006 | |
| 19 March 2007 | |
| 29 October 2007 | |
| 23 June 2008 | Modeling and analysis of safety occurrence reporting in air traffic |
| 09 March 2009 | An Ambient Agent Model for Automated Mindreading by Identifying and Monitoring Representation Relations |
| 30 November 2009 | Can we predict safety culture? Safety culture analysis by agent-based organizational modelling |
| 29 November 2010 | Abstraction of rich cognitive agent models |
| 30 May 2011 | Modelling Social Decision Making with Emotions |
| 26 March 2012 | Managing Emergence in Safety-Critical Organizations |
| 22 October 2012 | Understanding the emerging dynamics in complex agent-based dynamic networks |