

Complexity
The TI-Complexity research field focuses on the analysis and empirical validation of behavioral micro, macro and finance models under “bounded” rationality, where agents are not fully rational, but behave in accordance with experimental and empirical evidence. A central question is: which emerging aggregate macro behavior arises through the interactions of individual micro decisions of boundedly rational heterogeneous agents? Focus topics are: Complex systems & nonlinear dynamics; Bounded rationality, learning & heterogeneous expectations; Behavioral & experimental macro-finance; Complex networks; Dynamic games in complex systems; Strategic interaction and (non-)cooperative games.
Complexity
The TI-Complexity research field focuses on the analysis and empirical validation of behavioral micro, macro and finance models under “bounded” rationality, where agents are not fully rational, but behave in accordance with experimental and empirical evidence. A central question is: which emerging aggregate macro behavior arises through the interactions of individual micro decisions of boundedly rational heterogeneous agents? Focus topics are: Complex systems & nonlinear dynamics; Bounded rationality, learning & heterogeneous expectations; Behavioral & experimental macro-finance; Complex networks; Dynamic games in complex systems; Strategic interaction and (non-)cooperative games.
Researchers in this field
Key Publications





Discussion Papers
20-054/II - Compromising between the proportional and equal division values: axiomatization, consistency and implementation
Date: September 01, 2020
20-043/II - Equal Loss under Separatorization and Egalitarian Values
Date: July 18, 2020
20-033/II - Individual weighted excess and least square values
Date: June 20, 2020
20-020/II - All symmetric equilibria in differential games with public goods
Date: April 20, 2020
20-019/II - On the Influence of Top Journals
Date: April 19, 2020