SMA
Multi-Agent Systems
By Pierre Chevaillier, Professor at ENIB.
Part One: Basic concepts, agent architectures and technologies
This first lesson presents the basic principle related to the concepts of agent and multiagent systems. Next it gives a broad overview of the different conceptual solutions and types of technology used to designing agent-oriented software.
Part Two: collective behavior in multi agent systems
Part Three: Approches in the modeling of multiagent systems
IT Laboratory
The objective of this Lab work is to implement a Contract Net Protocol (CNP). It will be implemented on the Gama platform. Here is a basic example that illustrates the facilities the Gama platform provides to implement FIPA compliant communication protocols.
The protocole
Step by step implementation of the CNP. The objective is to implement the way agents produce and process the different types of communicative acts that support the protocol.
Agents using the protocol
At this point, the agent that initiates the protocole (the initiator) does it only once. We want now to make the agents able to use the protocole on purpose, namely when they have something to do and cannot perform it by their own.
Many agents
Implement a solution where many agents can run the protocole concurrently.
Complex systems & Agent-Based Model And Simulation
Jeremy Riviere, Associate Professor at UBO.
Part One: Complex systems, Models and Simulations
Introducing the concept of complex systems, and answering the questions "why" and "how" do we need to model and simulate them.
Part Two: MAS for modelling and simulating complex systems
- Model engineering and implementing MAS simulation with Java.
- Practical works and tutorial
- JADE platform and bibliography