Generating and Choosing Organizations for Multi-Agent Systems

Cleber Jorge Amaral, Jomi F. Hübner, Stephen Cranefield

Abstract: The design of organizations is a complex and laborious task. It is the subject of recent studies, which define models to automatically perform this task. However, existing models constrain the space of possible solutions by requiring a priori definitions of organizational roles and usually are not suitable for planning resource use. This paper presents GoOrg [1], a model that uses as input a set of goals and a set of available agents to generate different arrangements of organizational structures made up of synthesized organizational positions. The most distinguishing characteristics of GoOrg are the use of organizational positions instead of roles and that positions are automatically synthesized rather than required as a priori defined inputs. These features allow for the planning of organizational resources at design time and increase the chance of finding feasible solutions. This paper also introduces a model extension that illustrates how GoOrg can be extended to suit a specific domain.