A lot of agent-based models were built to study diffusion of innovations. In most of these models, beliefs of individuals about the innovation were not represented at all, or in a highly simplified way. In this paper, we argue that representing beliefs could help to tackle problematics...

This study examines capturing users' tacit knowledge in enterprise resource planning (ERP) systems. To mitigate the risks in implementing ERP systems, a knowledge based approach is followed. The ERP implementation team depends upon users for their knowledge to understand the business rules and...

: MOISE is a knowledge engineering methodology which includes a knowledge specification stage which separates static knowledge from dynamic knowledge. This stage integrates a graphical knowledge specification language (KRL) that combines a static specification language (semantic networks) and a...