Models of incremental concept formation
Artificial Intelligence
Communications of the ACM
Self-Organization in Biological Systems
Self-Organization in Biological Systems
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium
MABS '00 Proceedings of the Second International Workshop on Multi-Agent-Based Simulation-Revised and Additional Papers
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
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations
Agent Computing and Multi-Agent Systems
Designing Agent Behaviour in Agent-Based Simulation through Participatory Method
PRIMA '09 Proceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Modelling of Complex Systems with AML as Realized in MIRO Project
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Proceedings of the Second Symposium on Information and Communication Technology
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
MABS'11 Proceedings of the 12th international conference on Multi-Agent-Based Simulation
SimAnalyzer: automated description of groups dynamics in agent-based simulations
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
GAMA: multi-level and complex environment for agent-based models and simulations
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Online analysis and visualization of agent based models
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
An implementation of framework of business intelligence for agent-based simulation
Proceedings of the Fourth Symposium on Information and Communication Technology
Method supporting collaboration in complex system participatory simulation
Proceedings of the Fourth Symposium on Information and Communication Technology
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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The agent-based modeling is now widely used to study complex systems. Its ability to represent several levels of interaction along a detailed (complex) environment representation favored such a development. However, in many models, these capabilities are not fully used. Indeed, only simple, usually discrete, environment representation and one level of interaction (rarely two or three) are considered in most of the agent-based models. The major reason behind this fact is the lack of simulation platforms assisting the work of modelers in these domains. To tackle this problem, we developed a new simulation platform, GAMA. This platform allows modelers to define spatially explicit and multi-levels models. In particular, it integrates powerful tools coming from Geographic Information Systems (GIS) and Data Mining easing the modeling and analysis efforts. In this paper, we present how this platform addresses these issues and how such tools are available right out of the box to modelers.