A Cognition-Emotion-Personality Framework for Modeling Human-Like Awareness and Behavior in Emergency Evacuations
arXiv:2606.29212v1 Announce Type: new Abstract: Agent-based evacuation simulations are widely used to study crowd behavior during emergencies, but many models rely on assumptions such as perfect event awareness, complete exit knowledge, and fully rational decision-making. This paper presents an extended evacuation framework that integrates cognitive, emotional, social, and personality-related mechanisms into a unified model of human behavior under uncertainty. The framework incorporates a dynamic event-awareness mechanism based on a continuous Event Certainty Level, a memory-based representati
The increasing sophistication of AI models and the demand for more realistic and adaptive simulations across various domains, including emergency preparedness, drive the development of human-like agent frameworks.
This framework significantly advances agent-based modeling by integrating a holistic view of human cognition, emotion, and personality, crucial for accurate predictions in crises.
Traditional agent-based simulations, often based on simplistic rationality, may be superseded by models incorporating complex human behavior under stress and uncertainty.
- · Emergency management agencies
- · Urban planners
- · AI simulation developers
- · Robotics navigation systems
- · Developers of overly simplistic simulation models
- · Organizations relying solely on static, deterministic evacuation plans
More realistic and predictive evacuation simulations will improve public safety strategies and infrastructure design.
The validated understanding of human behavior in emergencies could inform autonomous systems designed to operate alongside or guide humans in chaotic environments.
This deeper understanding of human decision-making under duress might lead to ethical considerations and regulations regarding the use of such models for manipulation or control.
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Read at arXiv cs.AI