Team Decision Theory and Information Structures in Optimal Control Problems.
Interim technical rept.,
HARVARD UNIV CAMBRIDGE MASS DIV OF ENGINEERING AND APPLIED PHYSICS
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Recent attempts to analyze organization problems in a scientific manner have been stimulated by statistic decision theory and the theory of games. Within a general system, each individual member of the organization has different information, different action variables to be decided, and different goals. A team is an organization in which there is a single performance function reflecting the common goal of the members. In order words, a team decision problem can be considered as an N-person game with the same performance function for each person while a general game can be considered as a many-team decision problem. The constraints on communication among the members of a team and on the informations available to each member play crucial roles in the optimization of the performance function. Classical results are limited to only the static or centralized studies due to the difficulties of information-decision interaction. In this report, however, general causal dynamic systems with decentralized information structures are considered. Author
- Statistics and Probability
- Operations Research