Use of information is basic to economic theory in two ways. As a basis
for optimization, it is central to all normative hypotheses used in eco-
nomics, but in decision-making situations it has stochastic and
evolution- ary aspects that are more dynamic and hence more fundamental.
This book provides an illustrative survey of the use of information in
econom- ics and other decision sciences. Since this area is one of the
most active fields of research in modern times, it is not possible to be
definitive on all aspects of the issues involved. However questions that
appear to be most important in this author's view are emphasized in many
cases, without drawing any definite conclusions. It is hoped that these
questions would provoke new interest for those beginning researchers in
the field who are currently most active. Various classifications of
information structures and their relevance for optimal decision-making
in a stochastic environment are analyzed in some detail. Specifically
the following areas are illustrated in its analytic aspects: 1.
Stochastic optimization in linear economic models, 2. Stochastic models
in dynamic economics with problems of time-inc- sistency, causality and
estimation, 3. Optimal output-inventory decisions in stochastic markets,
4. Minimax policies in portfolio theory, 5. Methods of stochastic
control and differential games, and 6. Adaptive information structures
in decision models in economics and the theory of economic policy.