Description
| Title | Abstraction of rich cognitive agent models |
| Abstract | Employing rich internal agent models of actors in large-scale socio-technical systems often results in scalability issues. The problem addressed in this talk is how to improve computational properties of a complex internal agent model, while preserving its behavioral properties. The problem is addressed for the case of an existing affective-cognitive decision making model instantiated for an emergency scenario. |
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 |