Applied Research
On Integrating Agents into GDSS
Abstract
By nature, group decision cases present an immense diversity of goals, tasks, applicable processes and factors affecting them. The rigidity and limited scope of many decision models rise several critics from the practical perspective of GDSS. In this paper, an integrated agent-based model for GDSS will be proposed and discussed as a complementary approach to undertake these problems. Supporting explicit representation of the decision-makers role, the procedural and contextual settings along with the group commitment to share a plan of actions as a way to achieve a common goal, results in improved capabilities, range and flexibility of GDSS.