Medial surface models of rational expected utility maximizing decision-making (REDM)

The increased complexity of modern societal, geopolitical, and military environments has stressed the need for a new understanding of nature of information-decision-action systems in order to support decision-making. Additional research into the nature of perception and how perceptions are linked into the decision-making process is also a high priority. As a contribution to these goals, catastrophe landscapes and medial surfaces, which serve as decisional landscape models of the decision-making process have been developed. Their use as models of satisficing decision-making (SDM) and rational expected utility maximization decision-making (REDM), respectively, are described and analysed. This analysis demonstrates that selection of a REDM strategy can preclude the emergence of compromise in conflicting situations that are subject to external fact-finding and arbitration