Multimodeling, Singular Perturbations and Stochastic Decision Problems.
ILLINOIS UNIV AT URBANA DECISION AND CONTROL LAB
Pagination or Media Count:
This document analyzes the interaction between model simplification and strategy design in a multimodel context and for multiple agent stochastic decision problems with decentralized information. Under quasi-classical information patterns, and using singular perturbations approach, the authors establish asymptotic optimality of different multimodels which involve continuous and two types of sampled measurements. Our general analysis and discussion serve to enhance our understanding of the interrelationships between structural features of stochastic large scale systems, like time-scales and weak coupling, and strategy design.
- Statistics and Probability