Modelling is a necessary tool to represent, analyse and discuss aspects or ideas related to complex systems. With this in mind, teaching science based on the elaboration of models is widely accepted in the academic community. A relatively new methodology of modelling exists with a different philosophy and perspective from the classic and continuous models used up usually, the so-called agent-based models (ABMs). The general aim of the work is to make this kind of discrete modelling well-known, so that ABMs may be incorporated progressively into the academic curricula, complementing other existing modelling strategies
The currently fashionable modelling tool agent-based simulation is characterized. The first part con...
Agent based models (ABM) and multiagent systems (MAS) can be used to solve problems in many fields o...
Agent-based models (ABMs) are an increasingly popular choice for simulating large systems of interac...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classi...
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of intera...
tio on 60 Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised...
AbstractAgent-based modeling (ABM) has become an increasingly important tool in computational scienc...
Agent-Based Modelling (ABM) is a modelling technique with great success in fields like ecology, soci...
As the study of complex systems expands, new frameworks in which methodologies from different scienc...
You have probably encountered the acronym ABM before, but in the unlikely event that you have not: A...
The successful implementation of policies in complex social environments, require a deep understandi...
Formalised models are simplified representations of empirical phenomena that help to abstract away e...
This paper presents the results of a systematic review of agent-based modelling and simulation (ABMS...
Agent-based models (ABMs) have their origins in considerations of complexity science stipulating tha...
The currently fashionable modelling tool agent-based simulation is characterized. The first part con...
Agent based models (ABM) and multiagent systems (MAS) can be used to solve problems in many fields o...
Agent-based models (ABMs) are an increasingly popular choice for simulating large systems of interac...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend...
This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classi...
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of intera...
tio on 60 Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised...
AbstractAgent-based modeling (ABM) has become an increasingly important tool in computational scienc...
Agent-Based Modelling (ABM) is a modelling technique with great success in fields like ecology, soci...
As the study of complex systems expands, new frameworks in which methodologies from different scienc...
You have probably encountered the acronym ABM before, but in the unlikely event that you have not: A...
The successful implementation of policies in complex social environments, require a deep understandi...
Formalised models are simplified representations of empirical phenomena that help to abstract away e...
This paper presents the results of a systematic review of agent-based modelling and simulation (ABMS...
Agent-based models (ABMs) have their origins in considerations of complexity science stipulating tha...
The currently fashionable modelling tool agent-based simulation is characterized. The first part con...
Agent based models (ABM) and multiagent systems (MAS) can be used to solve problems in many fields o...
Agent-based models (ABMs) are an increasingly popular choice for simulating large systems of interac...