Takayuki Yamaoka

Proposal of decision support system for cooperation in hierarchical structures

In most previous research on group decision making systems, all participants are assumed to be working on the same decision. But, in electric power systems and the like, in-service fault handling must deal with a variety of externally caused problems in real time. The system described here assumes a hierarchical organization in which the upper levels issue broad strategic directives and the lower levels take specific actions based on them. Even in the making of seemingly diverse decisions, this decision process is actually cooperative. It requires a correct comprehension of system states and of the intentions of others (goals and strategies). A representation that superimposed goals, strategies, and states of the system is capable of revealing inconsistencies between intentions and circumstances. The proposed system has undergone expert evaluation in applications to two malfunctions in an electric power system. The representation method promotes a focus on errors in strategy and in the transmission of strategy from upper to lower levels and facilitates the revision of strategy in case of error.

A Case-Based Method To Support Creative Design Incorporating Intention Recognition

Abstract In this paper, we describe a method and a system to support a creative design process. This method is characterized by its ability to infer the designers intention based on case-based reasoning(CBR) methodology, so that the system can provide more useful and cooperative information on the current design.