CompactCourse: Computational Social Dynamics and Crowd Formation - Summer19
- Summer 17
- Dr. Florian Rupp, Universität der Bundeswehr; contact: Dr. rer. nat. Tobias Neckel
- Time and Place
- every second Friday (in average), 10:00-12:00, room 00.08.055
currently planned dates: 26.04., 10.05., 24.05., 07.06., 14.06., 05.07., 19.07.
- all interested students, in particular students of BGCE, Games Engineering, TopMath, CSE, Mathematics, and Informatics
- written report (depending on the number of participants)
- Semesterwochenstunden / ECTS Credits
- 2 credits
- March 27: the specific, planned dates are now available in the table above
- The compact course is now open for registration. Please register in TUMonline or contact Florian Rupp and Dr. rer. nat. Tobias Neckel in one mail directly.
The course "Computational Social Dynamics & Crowd Formation" provides a fast-paced introduction and overview for modeling the dynamics of heterogeneous multi-agent systems with a particular focus on mobile societies and crowed formations. Compared especially with common physical systems, the most interesting aspect of this class of problems is that the agents may have different views (preferences, ideologies, movement, and rescue strategies) and that these may be substantially influenced by social interaction.
- Principles of agent-based modeling, like preferences, utilities, modeling and control of crowds
- Diffusion of ideas and their exchange between agents in terms of deterministic and stochastic models (incl. random ordinary differential equation models), as well as modeling the transmission of culture (i.e. macroscopic idea states)
- Multiple scale models with micro-descriptions as dynamic transitions, Markovian transitions involving 1st principles, and multi-agent limits
- Socioeconomic transactions and group interactions, like interaction decisions and the choice of behavior, the establishment of norms and standards, social networking, and non-locality including movements to far-flung locations
- Computational aspects for large crowds of agents incl. combination of ecologic and economic dynamics, cluster consensus, feedback controls for crowd movement in certain areas (e.g. corridors, open spaces), and evacuation strategies.
t.b.a. For access, please contact Dr. Rupp directly.