We study how changes to the informativeness of signals in Bayesian games and single‐agent decision problems affect distribution equilibrium actions. Focusing on supermodular environments, we provide conditions under which a more precise private signal for one agent leads an increasing‐mean spread or decreasing‐mean actions all agents. apply our comparative statics information disclosure between...

Graphic statics is undergoing a renaissance, with computerized visual representation becoming both easier and more spectacular as time passes. While methods of the past are revived, little emphasis has been placed on studying mathematics behind these methods. Due to considerable advances our mathematical understanding since birth graphic statics, we can learn lot by examining old from modern vi...

We develop and illustrate a methodology for obtaining robust comparative statics results for collusion models in markets with differentiated goods by analyzing the homogeneous goods limit of these models. This analysis reveals that the impact of parameter changes on the incentives to deviate from collusion and the punishment profits are often of different order of magnitude yielding comparative...

Online Goal Babbling and Direction Sampling are recently proposed methods for direct learning of inverse kinematics mappings from scratch even in high-dimensional sensorimotor spaces following the paradigm of ”learning while behaving”. To learn inverse statics mappings – primarily for gravity compensation – from scratch and without using any closed-loop controller, we modify and enhance the Onl...

The Correspondence Principle is the relation, which exists in certain economic models, between comparative statics of equilibria and the properties of out-of-equilibrium dynamics. The Correspondence Principle (CP) implies that one obtains unambiguous comparative statics by selecting equilibria with desirable dynamic properties. Generally, the CP determines comparative statics in models with a o...