Dynamic Non-Bayesian Decision Making

Dynamic Non-Bayesian Decision Making

The model of a non-Bayesian agent who faces a repeated game with incomplete information against Nature is an appropriate tool for modeling general agent-environment interactions. In such a model the environment state (controlled by Nature) may change arbitrarily, and the feedback/reward function is initially unknown. The agent is not Bayesian, that is he does not form a prior probability neithe...

Dynamic Bayesian Decision - Making :

Dynamic Non - Bayesian Decision

The model of a non-Bayesian agent who faces a repeated game with incomplete information against Nature is an appropriate tool for modeling general agent-environment interactions. In such a model the environment state (controlled by Nature) may change arbitrarily , and the feedback/reward function is initially unknown. The agent is not Bayesian, that is he does not form a prior probability neith...

Bayesian Toolbox for Dynamic Distributed Decision Making

The paper outlines a new challenging area of control, namely distributed decision making under uncertainty. Presence of many decision-making units, called the participants is the main distinction from the classical control theory. The problem is analysed from Bayesian point of view. Each participant has the abilities of classical adaptive controller, i.e. learning of the environment and design ...

Bayesian Decision Making Theory