Generating and Choosing Organisations for Multi-Agent Systems

Autor: Cleber Jorge Amaral, Jomi Fred Hübner, Stephen Cranefield
Rok vydání: 2022
Popis: The design of organisations 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 organisational roles and usually are not suitable for planning resource use. This paper presents GoOrg, a model that uses as input a set of goals and a set of available agents to generate different arrangements of organisational structures made up of synthesised organisational positions. The most distinguishing characteristics of GoOrg are the use of organisational positions instead of roles and that positions are automatically synthesised rather than required as a priori defined inputs. GoOrg qualifies the generated structures according to multiple attributes; These characteristics facilitate the parametrisation, the use for resource planning and the chance of finding feasible solutions. This paper also introduces two model specialisations, which define processes and constraints that illustrate how GoOrg suits different domains. Among aspects that surround an organisation design, this paper discusses models' input, agents' abstractions and procedures for adapting the organisation during its life-cycle.
Databáze: OpenAIRE