Domain-specific modelling language for belief-desire-intention software agents

KARDAŞ G., TEZEL B. T., Challenger M.

IET SOFTWARE, vol.12, no.4, pp.356-364, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 12 Issue: 4
  • Publication Date: 2018
  • Doi Number: 10.1049/iet-sen.2017.0094
  • Journal Name: IET SOFTWARE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.356-364
  • Keywords: multi-agent systems, specification languages, domain-specific modelling language, belief-desire-intention software agents, belief-desire-intention model, multiagent systems, BDI agents, agent components, BDI architecture, Jason BDI platform, model-to-text transformations, exact MAS implementation, BDI agent system, DSML4BDI language, MULTIAGENT SYSTEMS, DRIVEN DEVELOPMENT
  • Dokuz Eylül University Affiliated: Yes


Development of software agents according to belief-desire-intention (BDI) model usually becomes challenging due to autonomy, distributedness, and openness of multi-agent systems (MAS). Hence, here, a domain-specific modelling language (DSML), called DSML4BDI, is introduced to support development of BDI agents. The syntax of the language provides the design of agent components required for the construction of the system according to the specifications of BDI architecture. The implementation of designed MAS on Jason BDI platform is also possible via model-to-text transformations built in the DSML. The comparative evaluation results showed that a significant amount of artefacts required for the exact MAS implementation can be automatically achieved by employing DSML4BDI. Moreover, time needed for developing a BDI agent system from scratch can be reduced to one-third in the case of using DSML4BDI. Finally, qualitative assessment, based on the developers' feedback, exposed how DSML4BDI facilitates development of BDI agents.