SMA

Multi-Agent Systems

By Pierre Chevaillier, Professor at ENIB.

Projets 2019 - 2020

• Présentation des projets
• Supports du projet JR1
• Supports du projet JR2

Projets proposé par Pierre Chevaillier

Simulation de déplacements collectifs de piétions en utilisant

• PC1 : le modèle des boids de Reynolds :
• PC2 : le modèle des social forces de Helbing et al.
• PC3 : kle modèle de la dynamique comportementale de Fajen & Warren

Les 3 modèles sont décrits dans ce document

Résolution itérative de contraintes spatiales par un système multi-agents

Introduction to MultiAgent Systems

Download the Course material.

• 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 protocol (the initiator) does it only once. We want now to make the agents able to use the protocol 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 protocol concurrently.

Complex systems & Agent-Based Model And Simulation

Jeremy Riviere, Associate Professor at UBO.

The course material is here