Many decision problems involve elements of uncertainty and of strategy. Most often the two elements cannot be easily disentangled. The aim of this workshop is to examine several aspects of the interaction between strategy and stochastics. Various game theoretic models will be presented, where stochastic elements are particularly relevant either in the formulation of the model itself or in the computation of its solutions.
In this third edition of the workshop attention will be focused on (but not restricted to) the following topics
- Information and dynamic games,
- Algorithmic and computational aspects of equilibrium,
- Learning and bounded rationality,
- Strategic aspects of applied probability models: networks, inventory, etc.
The speakers will be scholars in different fields: stochastics, economics, operations research, computer science, etc.
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