Engineering Decision Making in an Open Age

In an age of diversification and changes, a new framework for decision making for a team is required. As growing complexity and diversification call for team members from a wide variety of areas, a decision cannot be made one-time as it used to be and it must be reached by trials and errors step by step. Such dynamic decision making has to convince members at each step by providing different perspectives for each member to understand the line of reasoning, and must allow lazy evaluation, because some members cannot understand what pieces of knowledge and experience are called for until later step, when clearer perspective is available. Steps proceed by satisfying at least one member. If it fails, then it backtracks to the previous step until it satisfies one more member. This process is repeated until all members are satisfied. Artificial Intelligence allows such trial and error decision making to make all members feel satisfied. The usefulness of this approach is demonstrated by applying developed WPS producing tool to many applications in industry. And it is believed this DDM tool will be very useful for decision making in other areas, too, where systems are very complex and diverse.