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In the field of emergency simulations, the credibility of virtual agents depends largely on their ability to make autonomous and contextually relevant decisions. Traditionally, rule-based systems have dominated this field, but they present notable limitations in terms of variability and realism. The emergence of large language models (LLMs) opens a promising path to equip these agents with richer, more human decision-making processes. An innovative approach involves incorporating personality traits based on the OCEAN model (openness, conscientiousness, extraversion, agreeableness, and neuroticism) directly into the instructions given to the LLM, so that each agent reacts differently to the same stimulus.
Experimental results demonstrate that, by configuring personality profiles through natural language, agents substantially modify their behaviors in evacuation scenarios: some prioritize cooperation, others act impulsively or cautiously, generating heterogeneous group dynamics. This increases overall realism and allows studying how different psychological profiles interact under pressure, something impossible to replicate with fixed rules. This technology not only improves the fidelity of simulators but also offers a solid foundation for training response teams or designing more adaptive safety protocols.
In this context, the practical implementation of such systems requires robust and flexible technological infrastructure. Q2BSTUDIO develops custom applications that integrate artificial intelligence and AI agents into simulation platforms, ensuring scalability and customization. We combine AWS and Azure cloud services to efficiently orchestrate LLM models, and we apply cybersecurity techniques to protect the sensitive data handled by these environments. Additionally, our business intelligence service solutions, such as Power BI, allow real-time visualization of agent behavior metrics, facilitating result analysis and informed decision-making. For companies seeking to add intelligence to their simulations, we offer AI for businesses with a practical, results-oriented approach, transforming research into operational tools ready for production.
The convergence of language models, personality representations, and emergency simulations represents not only an academic advancement but also a concrete opportunity to improve crisis preparedness. By adopting custom software that incorporates these capabilities, organizations can create virtual laboratories where they can test evacuation strategies, train personnel, and predict human behaviors with an unprecedented level of detail.
