Agent-Based Modeling (ABM)
Agent-Based Modeling is a powerful tool for simulating real-world interactions. By modeling individual agents with their own goals and behaviors, researchers can gain insights into complex systems, whether for urban planning, epidemic spread, or economic markets.
Agent-Based Modeling (ABM) is a simulation technique in which individual entities, called agents, interact with one another and their environment according to predefined rules. ABM is used to model complex systems and behaviors, such as crowd dynamics, market trends, or social systems. In AI, agents can be intelligent and learn from their environment, making the models more dynamic and realistic.