Found 10 relevant results in 1.12s where lecturer="Frank Schweitzer"
This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. Students and other guests are welcome.
Agent-based modeling is introduced as a bottom-up approach to understand the complex dynamics of social systems. Topics include the growth, entry and exit dynamics of firms, strategic interactions of firms in collaboration networks and the emergence of failure cascades and systemic risk in networks. The role of randomness, heterogeneity and network effects for economic dynamics is pointed out.
Bachelor Thesis (Focus Spezialization Management, Technology, and Economics)
Bachelor-Arbeit (Fokus-Vertiefung Management, Technologie und Ökonomie)
The bachelor's thesis is the culmination of the program. The students develop, enhance, and demonstrate their methodological abilities to independently tackle and solve a given research problem. The thesis furnishes the students with their first major research experience, and is a further development of the work done in the basis courses and the focused study.
spatio-temporal structure formation, self-organization, multi-agent systems and cellular automata, structure and dynamics of networks theory, evolutionary processes
The course provides an overview of the methods and abstractions used in (i) the quantitative study of complex networks, (ii) empirical network analysis, (iii) the study of dynamical processes in networked systems, (iv) the analysis of robustness of networked systems, (v) the study of network evolution, and (vi) data mining techniques for networked data sets.
CONTENTS: stochastic, equilibrium and evolutionary models of company growth; elaboration of models explaining recent empirical findings on productivity and industry dynamics
How do economies grow and occasionally tip into crisis? How does a technology spread, or a shock cascade through a production network? This course develops a unified toolkit for understanding economic dynamics and complexity. We study continuous and discrete systems, diffusion and contagion, endogenous cycles, and the structure and formation of economic networks.
No description available.
Nonlinear Dynamics, Structure Formation and Selforganization
Nichtlineare Dynamik, Strukturbildung und Selbstorganisation
CONTENTS: 1. nonlinear dynamicalsystems, instability and chaos, 2. reaction-diffusion systems,structure formation based on diffusion instabilities, 3. complexsystems, agent models, network models
1. Foundations of systems thinking, system oriented management, project management incl. critical path method2. Systmes dynamics, feedback mechanism, oscillations, epidemic models3. Non-linear dynamical systems, complex systems theory, role of control parameters