Simulation for the Social Scientist
Simulation for the Social Scientist
Requirements analysis of agent-based simulation platforms: state of the art and new prospects
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Agent oriented software engineering with INGENIAS
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Agent based simulation for social systems: from modeling to implementation
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Visual modeling for complex agent-based simulation systems
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Modelling and simulation of social systems with INGENIAS
International Journal of Agent-Oriented Software Engineering
Agent-based modelling and simulation for the analysis of social patterns
Pattern Recognition Letters
Deepening the Demographic Mechanisms in a Data-Driven Social Simulation of Moral Values Evolution
Multi-Agent-Based Simulation IX
Agent based simulation for social systems: from modeling to implementation
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Agent-Based modeling of social complex systems
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Using model replication to improve the reliability of agent-based models
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Metamodels for role-driven agent-based modelling
Computational & Mathematical Organization Theory
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In Multi-agent based simulation (MABS) systems, computational models are built as multi-agent systems (MAS). Replication of these models can contribute to improve the reliability of the results and understanding of the system. One of the main problems for facilitating replication is the lack of a simulation integrated environment that supports the whole research process from conceptual modeling to simulation implementation and analysis. We address this issue providing a high-level conceptual modeling abstraction for simulation development, including transformation tools that facilitate the implementation of simulations on different simulation platforms. In this way, agent-based simulation development process is driven by modeling, because users focus on conceptual modeling, while implementation code is generated automatically.