Understanding multi-agent systems
Multi-agent systems (MASs) represent an important subfield of the broader area of distributed artificial intelligence. They consist of several intelligent agents that interact, cooperate, and coordinate with each other to execute tasks and achieve collective goals. Each agent in a MAS is typically autonomous, capable of perceiving its environment through sensors, possessing a reasoning mechanism to make decisions, and acting upon those decisions to meet its design objectives. The collective behavior and interactions of these agents enable MASs to tackle complex problems that single-agent systems struggle with due to the inherent limitations of individual agents.
Examples of MASs can be found in various domains, demonstrating their applicability and effectiveness in solving complex problems:
- Supply chain management and logistics: MASs can be used to optimize supply chain operations by coordinating the activities of different agents representing...