게임 개발은 다른 소프트웨어와 비교해서 다양한 분야의 전문가들이 참여하여 창의적인 과정을 거쳐서 생산물을 만들어낸다. 여기에서 가장 중요시 되고 어려운 분야가 시나리오에 대한 공통되고 동일한 상황 인식이다. 기존의 소프트웨어와 비교해서 게임 개발 방법은 통일된 형태의 개발 및 정형화된 표현 방법이 미흡하다. 본 논문은 시나리오에 대한 개발 참여자들간의 정보를 공유하고 개발 후에 발생할 수 있는 잠재적인 오류 및 개발 비용을 최소화하기 위한 시나리오 표현 방법을 개발한다. 이를 위해 사건-상태-행동 그래프에 기반한 시나리오 표현 방법을 제안한다. 그리고, 게임 시나리오에 대한 충분한 토의와 정보 공유는 게임의 애매하고 창의적인 개발 특성상 유익한 과정이다.. 제안하는 방법을 Age of Empire 게임 시나리오로 표현하여 그 유용성을 보인다.

Business processes are often of long duration, and include internal worker's decision making, which makes business processes to be exposed to many exceptional situations. These properties of business processes makes it difficult to guarantee successful termination of business processes at the design phase. The behavioral properties of business processes mainly depends on the data aspects of business processes. To formalize the data aspect of process modeling, this paper proposes a graph-based model, called Data Dependency Graph (DDG), constructed from dependency relationships specified between business data. The paper also defines a mechanism of describing a set of mapping rules that generates a process model semantically equivalent to a DDG, which is accomplished by allocating data dependencies to component activities.

Tendon driven robot mechanisms have many advantages such as allowing miniaturization and light-weight designs and/or enhancing flexibility in the design of structures. When designing or analyzing tendon driven mechanisms, it is important to determine how the tendons should be connected and whether the designed mechanism is easily controllable. Graph representation is useful to view and analyze such tendon driven mechanisms that are complicatedly interconnected between mechanical elements. In this paper, we propose a method of generalized graph representation that provides us with an intuitive analysis tool not only for tendon driven manipulators, but also various other kinds of mechanical systems which are combined with tendons. This method leads us to easily obtain structure matrix - which is the one of the most important steps in analyzing tendon driven mechanisms.