Tag
This paper presents an extended evacuation framework integrating cognitive, emotional, social, and personality mechanisms for agent-based simulations of human behavior under uncertainty. It models dynamic event awareness, memory, fear, and OCEAN-based personality, demonstrating impacts on evacuation efficiency and realistic crowd phenomena.
Built an MCP server allowing Claude to control NetLogo for agent-based modeling, including headless sweeps and model loading from CoMSES Net.
This paper introduces HELM, a human-agent framework that automates finite element modeling of concrete bridge barriers, increasing success rates from 20% to 75% using commercial FE software.
Neetyabhas is a framework for uncertainty-aware public policy optimization using hierarchical reinforcement learning agents in agent-based epidemic simulations. It models individual behaviors (mask-wearing, vaccination, shopping) and policymaker interventions under uncertainty, demonstrating effective COVID-19 outbreak management.
The paper presents a hybrid Discrete Event Simulation and Agent-Based Model framework for emergency departments, validated against real-world data, and integrates a multi-agent system for autonomous resource allocation optimization.