Description: Agent-Based Computing is a paradigm that focuses on the use of ‘agents’, entities that act autonomously and can perceive their environment, reason about it, and make decisions to achieve specific goals. These agents can be software or hardware and are designed to interact with other agents and their environment dynamically. One of the most notable features of this approach is its ability to operate in distributed environments, where multiple agents can collaborate or compete with each other. Agent-based computing is characterized by its focus on autonomy, adaptability, and learning capability, allowing agents to improve their performance over time. This paradigm is particularly relevant in the context of complex systems, where the interaction among multiple components can lead to emergent behaviors. Furthermore, agent-based computing integrates well with various software architectures, where greater modularity and flexibility in the design of systems and applications are sought. In summary, agent-based computing represents an innovative and versatile approach to tackling complex problems in various fields, from artificial intelligence to robotics and social system simulation.
