Abstract

Conventional expert systems have difficulties in the inference on time-varing situations because they don't have the structure for processing time related informations and rule representation method to describe time explicitely. Some expert systems capable of temporal reasoning are not applicable to the domain in which state changes happen by unpredictble events that cannot be represented by periodic changes of data. In this paper, an event based temporal reasoning method is proposed. It is capable of processing te unpredictable events, representing the knowledge related to event and time, and infering by that knowledge as well as infering by periodically time-varing data. The NEO/temporal, an temporal inference engine, is implemented by applying the proposed temporal reasoning situation assessment and decision supporting system is implemented to show the benefits of the proposed temporal information processing model.

저자의 다른 논문

참고문헌 (0)

1. 이 논문의 참고문헌 없음

이 논문을 인용한 문헌 (1)

1. 2002. "A Location Prediction System for Moving Objects in Battlefield Analysis" 정보과학회논문지. Journal of KISS : Computing practices. 컴퓨팅의 실제, 8(6): 765~777  원문보기 상세보기