Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
Cormas: Common-Pool Resources and Multi-agent Systems
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
RoboCup Rescue: A Grand Challenge for Multi-Agent Systems
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
An artificial maieutic approach for eliciting experts' knowledge in multi-agent simulations
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
On weather affecting to brown plant hopper invasion using an agent-based model
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A modelling language to represent and specify emerging structures in agent-based model
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Inferring equation-based models from agent-based models: a case study in competition dynamics
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Towards a methodology for the participatory design of agent-based models
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
A cluster-based approach for disturbed, spatialized, distributed information gathering systems
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Simulation of the emotion dynamics in a group of agents in an evacuation situation
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Metamodels for role-driven agent-based modelling
Computational & Mathematical Organization Theory
Agent-based simulation for large-scale emergency response: A survey of usage and implementation
ACM Computing Surveys (CSUR)
A simulation model for optimise the fire evacuation configuration in the metro supermarket of hanoi
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
DIVAs 4.0: A Multi-Agent Based Simulation Framework
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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In this paper, we introduce the GAMA (Gis & Agent-based Modelling Architecture) simulation platform, which aims at providing field experts, modellers, and computer scientists with a complete modelling and simulation development environment for building spatially explicit multi-agent simulations. The most important requirements of spatially explicit multi-agent simulations that our platform fulfils are: (1) the ability to transparently use complex Geographical Information System (GIS) data as an environment for the agents; (2) the ability to handle a vast number of (heterogeneous) agents (3); the ability to offer a platform for automated controlled experiments (by automatically varying parameters, recording statistics, etc.); (4) the possibility to let non-computer scientists design models and interact with the agents during simulations. While still in its implementation phase, the platform is currently used for two main applications. One is about the modelling of the spread of avian influenza in a province of North Vietnam in collaboration with CIRAD (French Agricultural Research Centre working for International Development). Its goal is to simulate the poultry value chain of a whole province using geolocalised data, and to use this to optimise a monitoring network. A second application conducted with the Institute for Marine Geology and Geophysics (VAST, Hanoi) is about using an interactive simulation for supporting decision-making during urban post-disaster situations. This application relies on geolocalised data as well, and requires facilities of interaction between users and the simulation.