C3RI

Abstract The KRAFT project aims to investigate how a distributed architecture can support the transformation and reuse of a particular class of knowledge, namely constraints, and to fuse this knowledge so as to gain added value, by using it for constraint solving or data retrieval

Work on intelligent systems application for learning, teaching and assessment (LTA) uses different
strategies and parameters to recommend learning and measure learning outcome. In this paper, we show
how agents can identify gaps in human learning, then the use of a set of parameters which includes
desired_concept, passed and failed predicate attributes of students in the construction of an array of
classified production rules which in-turn make prediction for multipath learning after pre-assessment in a
multiagent system. The context in which this system is developed is structured query language (SQL)
domain with concepts being represented in a hierarchical structure where a lower concept is a prerequisite to
its higher concept.