Impact of different belief facets on agents' decision -- a refined cognitive architecture
Sedigh, Amir Hosein Afshar, Purvis, Martin K., Savarimuthu, Bastin Tony Roy, Frantz, Christopher K, Purvis, Maryam A.
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Apr-24-2020
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