From the course: Agentic AI Fundamentals: Architectures, Frameworks, and Applications
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Developing a cooperative multiagent system
From the course: Agentic AI Fundamentals: Architectures, Frameworks, and Applications
Developing a cooperative multiagent system
Taking time to study the components of a cooperative multi-agent system before you start development will help you design a system that's efficient, scalable, and reliable. Before development, you want to clearly define the environment where agents will operate. This means mapping out all of the possible states and understanding how agents will interact with each other based on that environment. Next, Communication Protocols. Decide how they will communicate, such as networking messaging, APIs, etc. An example would be using a messaging system that's able to communicate over a wide-area network using TCPIP. Other options could be RFID, which is communications over a radio network or even using Bluetooth. Define shared goals and rewards. Align agents with shared goals or cooperative reward structures. This is to answer the question, how do agents know that they are doing a good job? For example, set the shared objectives of maximizing sales while minimizing costs. By designing reward…
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