Abstract:
Rapid development of information and computer technology as well as availability of multiple, very
frequently incompatible, informational sources have caused that decision makers (both humans and
devices) are overloaded with information. Their imperfectness (i.e. limited cognitive, informational and
evaluational capabilities) is confronted with decision making (DM) of growing complexity with
incomplete DM preferences and imprecise DM goals. In this situation even separation of important and
unimportant information may require a significant deliberation effort. The success of normative DM
theories under information overload and uncertainty heavily depends on whether a deliberation effort of
decision makers is respected. The project aims to contribute to solution of the bounded rationality
problem for multiple decision makers performing complex dynamic DM under uncertainty and
incomplete knowledge in both cooperative and competitive settings. The desired solution should be
used within normative Bayesian decentralised dynamic DM under a flat cooperation structure without a
facilitator.