Representing a real system in all its complexity in order to measure its possible evolutions, or to conceive development solutions that are adapted to it, is one of the challenges of current computer modelling, particularly of agent-based modelling. This approach, which complements classical analytical methods, allows us to incrementally conceive models whose dynamic is the result of interactions between computer representations of the entities in a modelled system (players, institutions and environment, biological or abiotic entities). These models are then used to support a “virtual ” experimental method – making use of simulations – where the resulting dynamics can be studied with all the necessary details, and where interaction with the...
Agent-based modeling is now widely used to investigate complex systems but still lacks integrated an...
Agent-based modeling is now widely used to investigate complex systems but still lacks integrated an...
Agent-Based Modelling has now become a relevant and recognized paradigm to design integrated models ...
Agent-based models are now used in numerous application domains (ecology, social sciences, etc.) but...
Agent-based models are now used in numerous application domains (ecology, social sciences, etc.) bu...
The agent-based modeling is now widely used to study complex systems. Its ability to represent sever...
International audienceThe agent-based modeling is now widely used to study complex systems. Its abil...
The agent-based modeling is now widely used to study complex systems. Its ability to represent sever...
Agent-based modeling is now widely used to investigate complex systems but still lacks integrated an...
Agent-based modeling is now widely used to investigate complex systems but still lacks integrated an...
Agent-Based Modelling has now become a relevant and recognized paradigm to design integrated models ...
Agent-based models are now used in numerous application domains (ecology, social sciences, etc.) but...
Agent-based models are now used in numerous application domains (ecology, social sciences, etc.) bu...
The agent-based modeling is now widely used to study complex systems. Its ability to represent sever...
International audienceThe agent-based modeling is now widely used to study complex systems. Its abil...
The agent-based modeling is now widely used to study complex systems. Its ability to represent sever...
Agent-based modeling is now widely used to investigate complex systems but still lacks integrated an...
Agent-based modeling is now widely used to investigate complex systems but still lacks integrated an...
Agent-Based Modelling has now become a relevant and recognized paradigm to design integrated models ...