Impact of meta-roles on the evolution of organisational institutions
This addresses institutional evolution in multi-agent systems for social science and AI researchers, but appears incremental as it extends existing BDI frameworks with meta-roles.
This paper investigates how changes in agents' beliefs and meta-roles affect institutional evolution, using a BDI architecture to model cognitive dissonance from unfair institutions. It simulates historical trading societies (Armenian merchants and English East India Company), showing that agent role changes combined with institutional characteristics lead to rule changes in the system.
This paper investigates the impact of changes in agents' beliefs coupled with dynamics in agents' meta-roles on the evolution of institutions. The study embeds agents' meta-roles in the BDI architecture. In this context, the study scrutinises the impact of cognitive dissonance in agents due to unfairness of institutions. To showcase our model, two historical long-distance trading societies, namely Armenian merchants of New-Julfa and the English East India Company are simulated. Results show how change in roles of agents coupled with specific institutional characteristics leads to changes of the rules in the system.