Co-evolution of Agent-Oriented Conceptual Models and CASO Agent Programs
MetadataShow full item record
Agent-oriented conceptual modelling notations are highly effective in representing requirements from an intentional stance and answering questions such as what goals exist, how key actors depend on each other and what alternatives must be considered. In this paper, we suggest an approach to executing i* models by translating these into set of interacting agents implemented in the CASO language. In addition, we suggest a hybrid modelling, or co-evolution, approach in which i* models and CASO agent programs are concurrently maintained and updated, while retaining some modicum of loose consistency between the two. This allows us to benefit from the complementary representational capabilities of the two frameworks.
Showing items related by title, author, creator and subject.
Pallebage-Gamarallage, Menuka Madhavi Somapala (2012)Alzheimer’s disease (AD) is the most common cause of dementia pathologically characterised by neurovascular inflammation, extracellular proteinaceous deposits enriched in amyloid-β (Aβ) and formation of neurofibrillar ...
Hadzic, Maja; Dillon, Darshan (2009)We have developed an evidence-based mental health ontological model that represents mental health in multiple dimensions. The ongoing addition of new mental health knowledge requires a continual update of the Mental Health ...
Dillon, Darshan; Hadzic, Maja; Dillon, Tharam S. (2010)Multi-agent systems are increasingly being used within various knowledge domains. The need for modeling of the multi-agent systems in a systematic and effective way is becoming more evident. In this chapter, we present ...