Impact of different belief facets on agents' decision -- a refined cognitive architecture to model the interaction between organisations' institutional characteristics and agents' behaviour
This work addresses the challenge of simulating complex human-agent interactions in organizational contexts, though it appears incremental as it builds on existing BDI and TPB models.
The paper tackles the problem of modeling how organizational institutional characteristics affect agent behavior by refining a cognitive architecture that incorporates belief facets, personality, and cognitive dissonance, and demonstrates through simulations of historical trading societies that agents' internal beliefs are crucial for following institutional rules.
This paper presents a conceptual refinement of agent cognitive architecture inspired from the beliefs-desires-intentions (BDI) and the theory of planned behaviour (TPB) models, with an emphasis on different belief facets. This enables us to investigate the impact of personality and the way that an agent weights its internal beliefs and social sanctions on an agent's actions. The study also uses the concept of cognitive dissonance associated with the fairness of institutions to investigate the agents' behaviour. To showcase our model, we simulate two historical long-distance trading societies, namely Armenian merchants of New-Julfa and the English East India Company. The results demonstrate the importance of internal beliefs of agents as a pivotal aspect for following institutional rules.