Dilermando Piva

SIMI - an automated environment for the intelligent planning of actions in flexible manufacturing cells

Planning is a large, and growing area of artificial intelligence. The plannings main idea is to generate a sequence of actions for an agent, such as a robot, that can change its environment. For more than 30 years, planning systems have been an active research topic, and a number of approaches have been developed. In the last years, the case-based approach is the one, which has received more attention in the area. This is due to the reduction of the space search achieved, leading to better planners performance. In this context, this work intends to provide a general view of an intelligent integrated environment, which generates an automatic sequencing of actions capable of producing parts in a flexible manufacturing cell. The main component system of this environment is a case-based planner, called PLANCE-E.

Auxiliar: a case-based system to assist online courses

This paper presents the REASONING, the third module of a computerized system (AUXILIAR), designed to help human-tutors redefine information for those students who have difficulties in grasping deployed educational topics. To this end, there is an intelligent mechanism that facilitates the assessment process and searches for similar cases produced by other students in past situations. This search enables the system to redefine the information content to be rendered to the student in order to eliminate deficiencies detected during a formative assessment without considerable intervention by the tutor. To reach these goals, concepts of artificial intelligence (case-based reasoning, more specifically) and man-machine interaction are exploited. Thereby, there are presented the format of a case, the structure of the case library, as well as the intelligent retrieval mechanism that was developed.