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(Page créée avec « == Multi-Agent Systems == By Pierre Chevaillier, Professor at ENIB. [http://www.enib.fr/~chevaill/documents/master/siia-mas_multiagent-systems.pdf Handout of the course... ») |
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By Pierre Chevaillier, Professor at ENIB. | By Pierre Chevaillier, Professor at ENIB. | ||
[ | === Annales d'examen === | ||
*[[Media:Examen_2017-2018.pdf| Examen de 2017-2018]] : attention, celui-ci dure une heure, contrairement à celui de cette année (2h), qui comportera une partie portant sur le cours de de Pierre Chevaillier. | |||
=== Part One: Basic concepts, agent architectures and technologies | === Projets 2020 - 20 === | ||
* [[Media:Projets_SMA.pdf|Présentation des projets]] | |||
* [[Media:Projet_JR1.zip|Supports du projet JR1]] | |||
* [[Media:Projet_JR2.zip|Supports du projet JR2]] | |||
Projets proposés par Pierre Chevaillier | |||
Simulation de déplacements collectifs de piétions en utilisant | |||
* PC1 : [[Media:Siia-sma_sujet-projet_modeles_pietons_reynolds_2019.pdf|le modèle des boids de Reynolds]] | |||
* PC2 : [[Media:Siia-sma_sujet-projet_modeles_pietons_helbing_2019.pdf|le modèle des social forces de Helbing et al.]] | |||
* PC3 : [[Media:Siia-sma_sujet-projet_modeles_pietons_fajen-warren_2019.pdf|le modèle de la dynamique comportementale de Fajen & Warren]] | |||
Les 3 modèles sont décrits dans le document [[Media:Siia-sma_steeringModels_2019.pdf|Steering models]]. | |||
Les scénarios de test sont ceux proposés [[Media:Singh_etal_cavw09.pdf|l'article de Singh et al (2009)]]. | |||
* PC4 : Résolution itérative de contraintes spatiales par un système multi-agents en s'inspirant de la proposition de [[Media:Agents_stresses_jfsma03.pdf|l'article de De Loor et al (2003)]]. | |||
=== Introduction to MultiAgent Systems === | |||
Download the [https://www.enib.fr/~chevaill/documents/master/siia-mas_multiagent-systems.pdf 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. | 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 === | === IT Laboratory === | ||
| Ligne 24 : | Ligne 48 : | ||
==== Agents using the protocol ==== | ==== Agents using the protocol ==== | ||
At this point, the agent that initiates the | 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 ==== | ==== Many agents ==== | ||
Implement a solution where many agents can run the | Implement a solution where many agents can run the protocol concurrently. | ||
== Complex systems & Agent-Based Model And Simulation == | == Complex systems & Agent-Based Model And Simulation == | ||
Jeremy Riviere, Associate Professor at UBO. | Jeremy Riviere, Associate Professor at UBO. | ||
The course material is [[Media:Multi-agents_systems_and_interactive_simulation.pdf|here]] | |||
Dernière version du 17 juillet 2020 à 08:35
Multi-Agent Systems
By Pierre Chevaillier, Professor at ENIB.
Annales d'examen
- Examen de 2017-2018 : attention, celui-ci dure une heure, contrairement à celui de cette année (2h), qui comportera une partie portant sur le cours de de Pierre Chevaillier.
Projets 2020 - 20
Projets proposés 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 : le modèle de la dynamique comportementale de Fajen & Warren
Les 3 modèles sont décrits dans le document Steering models.
Les scénarios de test sont ceux proposés l'article de Singh et al (2009).
- PC4 : Résolution itérative de contraintes spatiales par un système multi-agents en s'inspirant de la proposition de l'article de De Loor et al (2003).
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