Simulated Agent

Simulated agents are artificial entities designed to mimic aspects of intelligent behavior, primarily for research purposes in fields like AI and robotics. Current research focuses on improving agent adaptability and efficiency, exploring architectures like transformers and neural networks optimized for tasks requiring strategic thinking, collaboration, and goal-directed behavior in dynamic environments. This work aims to enhance our understanding of intelligence and decision-making, leading to improvements in areas such as human-robot interaction, multi-agent systems, and the development of more robust and generalizable AI models. Furthermore, efficient calibration techniques are being developed to ensure the accuracy and reliability of these simulations.